Vendor directory
Every vendor tracked by the AI Legal Index, graded on the same 15 capability axes and recorded against 12 legal signals. A vendor appears here only once every axis carries a grade. No vendor pays for inclusion, placement, or rating.
&AI is an AI workspace for patent litigation built by AndAI, Inc., based in New York. Litigators and in house patent teams use it to search prior art across more than 60 million patent publications, nonpatent literature and product materials such as manuals, standards and video. They also use it to build claim charts for invalidity and evidence of use, to analyze positions under sections 101, 102, 103 and 112, and to draft contentions, expert reports and pitch materials. The platform assembles a patent's family, prosecution history and prior cases, and an AI assistant called Andy works across these tools. In claim charts, every proposed citation points to a passage, figure or timestamp and must be approved by the user before it appears in an export, and exported charts contain quoted evidence rather than generated text. The company serves law firms from the Am Law 100 to IP boutiques, on both plaintiff and defense sides, and in house teams. It publishes its pricing: credits at $0.40 each with no commitment, a Pro plan at $625 per user per month with 2,500 credits, and Enterprise plans offering single tenant or self hosted model deployment, with a seven day free trial.
4CRisk.ai is a regulatory and compliance AI platform from 4CRisk.ai, Inc., founded in 2020 and acquired by CUBE in February 2026; its site says it is proud to join CUBE and continues to sell under its own name. Built on what it calls specialized language models trained on curated regulatory content, its products cover regulatory research across federal, state and international sources including the Federal Register, regulatory change management that scans more than 2,400 sources and flags affected obligations, policies and controls, Compliance Map, which maps policies and controls to obligations and finds duplicates, HorizonScan, and Ask ARIA, a copilot that answers compliance questions from regulations and a firm's own policies with links to highlighted source passages and a confidence score. It serves chief compliance officers, regulatory affairs and legal professionals, and risk and security teams in banking, insurance, fintech, retail and technology. 4CRisk says customer data is not used to train its models, that its cloud environments are certified for SOC 2, and that it can run multi tenant, in a dedicated environment or in a customer's private cloud. Its terms of service are published; pricing is not.
Actionstep is a cloud practice management platform for midsize law firms. It covers matter management, document automation and management, email and calendaring, client intake, conflict checks and CRM, a client portal, time capture, billing, invoicing, payments, trust accounting and full legal accounting, with workflow automation across fourteen practice areas. Its AI layer, Actionstep Intelligence, launched in August 2026 alongside Trace, a passive time capture tool from the January 2026 acquisition of Traced. The vendor says every AI feature is opt in, that firms can see and audit what the AI did, and that firm data does not train AI models. It also says client, matter and billing data are not shared with outside AI providers in a way that exposes them beyond the firm. Actionstep Limited of New Zealand contracts through subsidiaries in the US, UK, Australia and New Zealand, has been backed by Serent Capital since 2020 and serves more than 5,000 firms. Its terms let a customer choose an AWS region for its data, and add specific protections for firms regulated by the Solicitors Regulation Authority. Actionstep completed a SOC 2 Type 2 examination in early 2026.
Aderant makes business software for law firms, covering finance, billing, time, docketing and people management rather than legal practice itself. It reports more than 2,500 client firms in 26 countries, including 98 percent of the Am Law 200 and 86 percent of the Global 100. Expert and its cloud successor Expert Sierra handle practice and financial management. Onyx handles outside counsel guideline compliance, iTimekeep captures time, BillBlast delivers bills, and Virtual Pricing Director covers pricing. Milana, CompuLaw, Deadlines.com and Forms Workflow handle docketing and calendaring, and the vi by Aderant suite covers recruiting, evaluations and work allocation. Stridyn is the cloud platform. MADDI is the AI layer, introduced in 2023. askMADDI answers plain English questions in Stridyn Analytics, Onyx, iTimekeep and the cloud general ledger. Agent Center, in early access since August 2026, offers seven agents for billing appeals, collections, associate evaluations, time narratives and coding, rates, forecasting and guideline compliance. Agents prepare and draft, and the firm's team reviews and decides. A Harvey integration turns AI work into draft time entries in iTimekeep. Aderant is based in Atlanta and is a business unit of Roper Technologies.
Advocacy is a litigation workspace built around case memory. Its premise is that a general legal AI answers each question from scratch, while a litigation team needs a system that already knows the matter. The platform maintains what it calls Axiom, a proprietary architecture that accumulates the facts, timelines, entities and contested issues of a case as it develops, rather than querying a generic legal database. Each query, review and note feeds that memory, so an associate who joins partway through discovery inherits the matter rather than rebuilding it. Three surfaces sit on top. Associate is the conversational assistant that answers questions about the case. The AI Editor is a drafting environment native to Microsoft Word, with research beside the draft, generation streaming onto the page and citations verified. Extract pulls structured data from documents at scale. Version 2.0, released in December 2025, carried case memory across all three surfaces, and the company has said shareable case memory across a team comes next. It is sold to midsize and Am Law litigation practices. Former securities litigator Téo Doremus is chief executive, and the company is based in San Francisco.
Aerofiler is contract management software from Aerofiler Pty Ltd of Sydney, founded by former MinterEllison lawyer Don Nguyen with Jarrod Mirabito and Stuart Loh. It is sold to in house legal teams and to sales and HR teams that handle contracts. The repository files contracts into folders automatically, reads image PDFs with OCR and flags duplicates. Rapid Learning AI learns new contract data points from a few examples and extracts key terms, which drive obligation tracking and renewal reminders. Templates with smart fields generate contracts for self service requests such as NDAs and sales agreements, parallel and sequential approval workflows route them, and signatures run through DocuSign, Adobe Sign or Namirial eSignAnyWhere. Reports turn the repository into metrics on workload and contract terms. Integrations cover Salesforce, Microsoft Teams, Slack, Google Drive, Microsoft Word and Zapier, with an API on the Enterprise plan. Customers named include Allianz, Sophos, Amnesty International and BBP. Plans are Starter, Standard and Enterprise, priced after a demo.
Agiloft is an enterprise contract lifecycle management platform for legal and procurement teams. It runs contract creation, negotiation, approval, signature, the repository and obligation management across industries from financial services and healthcare to manufacturing and energy. Its AI layer, sold as AI Your Way and Astra, includes AI Trainer, a tool for training contract review models on a customer's own documents without code. ConvoAI Document Q&A answers questions about a contract and links each answer to the highlighted source text. A GenAI Prompt Lab builds saved multistep prompts, and generative redlining proposes insertions and deletions against approved clause language. An Integration Hub built on Workato connects contract data to other business systems. The platform is offered on a single tenant or multitenant basis. The published Services Agreement and Supplemental Terms state that customer data is not used to train AI models without the customer's explicit prior written consent. They name Microsoft Azure OpenAI Service as an AI subprocessor, commit to prompt notice of compelled disclosure and delete customer data within thirty days of termination. Liability is capped at twelve months of fees, or three times that for security and confidentiality breaches. Agiloft, Inc. is based in Redwood City, California.
AI Demand Pro is personal injury settlement demand software from AI Demand Pro, Inc. of Costa Mesa, California, built by personal injury attorneys for personal injury firms. A firm uploads police reports, medical records and bills, and the software drafts a formatted, narrative settlement demand with a medical summary and hyperlinked exhibits in about 15 to 20 minutes, delivered as a Word document on the firm's letterhead for attorney review. Demand Studio lets attorneys edit the demand directly or have AI rewrite any section, an AI assistant answers questions from the case file, and medical summaries and hyperlinked chronologies during the case are included. Life care plans, discovery and deposition tools are announced as coming soon. It is sold by subscription under a master services agreement with a business associate agreement; prices are not published.
AI.Law is a litigation platform for solo and mid size firms that combines drafting tools with a full practice management system, with roughly sixty named tools. Drafting is the core: complaints with AI suggested claims, answers with affirmative defenses, written discovery and responses, deficiency letters, motions, and opposition and reply memoranda, with court compliant formatting. Analysis tools read the file, covering timelines, parties, costs and liens, deposition analysis against written discovery, insurance coverage reports, a dismissal risk analyzer and an evidence map. A plaintiff group produces demand letters, medical chronologies, causation reports and medical illustrations for trial. Legal research runs against Court Listener caselaw across every US jurisdiction, and a brief analyzer checks citations and surfaces counter authorities. A written Citation Accuracy Guarantee promises a clickable citation to source document and page for every claim, with an account credit if a link is wrong. Underneath sits a practice management layer offered free and without AI, including intake, conflict checks, document management, calendaring, time entry and IOLTA trust accounting. Firms control AI through fifteen permission roles and switches by category, firm wide or per matter. AI.Law was founded by litigation attorney Troy Doucet and holds US Patent No. 12,461,932.
Ajax is a passive timekeeping product for law firms that bill by the hour. A desktop app captures the whole working day across documents, email, browser, VoIP calls, calendar, Zoom and Teams, and reads the content of the work rather than window titles or calendar subjects. It groups related activity by matter and drafts a time entry with a narrative, matter and activity code, written in the timekeeper's style and learning from their corrections. The timekeeper reviews, edits and releases entries into the firm's billing system in one click; eight systems are named, including Clio, MyCase, Filevine, PracticePanther, SurePoint, Centerbase, Actionstep and Soluno. The same capture also files email to the right matter and drafts client updates from recent work. A compliance feature reads a client's outside counsel guidelines, extracts rules, lets the firm keep or drop each one, and links every rule to the page it came from. Entries are visible only to the timekeeper until released, capture can be paused in one click, and the published agreement deletes raw data after 30 days and processed data after 60. The vendor is NapoleonScout, Inc., trading as Ajax.
Alexi is a legal intelligence platform for law firms. It was built originally to generate evidence backed research memos and now covers litigation, transactional, operational and administrative workflows. The architecture is retrieval first, with a proprietary model layer the vendor calls Alex, aimed at grounding output in primary law rather than generating from model memory. Each firm receives its own private single tenant AI environment, with private cloud deployment offered, and the vendor states that the firm's accuracy signals and accumulated institutional knowledge belong exclusively to that firm. It ships a library of prebuilt workflows that can be customized, covering case file summarization, chronology building and memo drafting, and integrates with iManage. Alexi took part in the 2025 Vals Legal AI Report, an independent third party benchmark, and publishes its scores. It was founded in Toronto and serves Canada and the United States.
Align Research is an AI case law retrieval tool from Align, a Washington, DC litigation technology company founded by Sam Davidoff while he was a litigation partner at Williams & Connolly. Its legal entity is MFB Technologies, Inc. A lawyer asks a research question in plain language. AI agents then search, read the retrieved opinions and mark the key passages over a job that runs for a few hours, and return the relevant US federal and state court decisions, published and unpublished. The product writes no summaries, analysis or other text of its own, which the vendor presents as removing the risk of invented cases. Results carry full citations, a relevance tier the lawyer can change, and flags for later treatment such as overruling. Align Research became generally available on August 3, 2026, priced at $100 per research job bought as prepaid credits. A separate free tier gives three jobs a month, and the vendor may use its content to train its models. Align's original product, a digital trial binder platform for litigators sold on per user plans, uses no AI and is outside this profile.
Aline is a contract lifecycle management platform with AI built in, made by Aline Technologies, Inc. It is aimed at lean in house legal teams of two to five people at companies of roughly 100 to 1,000 employees. It brings drafting, redlining, approvals, electronic signature and a searchable contract repository into one system that runs in the browser. Its AI drafts agreements, memos and policies from a team's own clause library, redlines third party contracts against playbooks built from the team's templates, answers questions about a single contract or across thousands, and extracts terms such as renewal dates and indemnities without manual tagging. The AI runs on models from Anthropic, OpenAI and Google, and Aline's terms commit it not to train its AI features on customer inputs or outputs. Workflows let sales, procurement and finance launch agreements within guardrails set by legal, and Aline connects to Google Drive, SharePoint, Dropbox, Box and CRMs such as Salesforce and HubSpot. It publishes its pricing, starting at $200 per full user per month. Founded in 2019 by a former general counsel, it lists its headquarters in Berkeley Heights, New Jersey.
Aloi is a decision intelligence product for law firms from Aloi AI AB in Stockholm, founded by former Roschier partner Johan Häger. It ingests a firm's own archive of signed agreements, negotiation history, approvals and advice and makes it usable in drafting and negotiation. A precedent finder ranks comparable agreements across the firm's document system by structure, clauses, deal terms and context, with the evidence behind each result. Autocomplete turns agreed terms into a full long form agreement, placing clauses and definitions and flagging conflicts for review. Aloi also reads prior agreements to show market practice, recurring risks and negotiation patterns, suggests alternative wording in the firm's style, and tests responses to a counterparty's redline against the firm's earlier positions. Atlas, launched in September 2026, extends this to negotiation guidance. The software runs inside the firm's own cloud or chosen infrastructure on Microsoft Azure, inheriting its permission model. Roschier, Avance and BAHR are quoted as customers. Prices are not published.
Alt Legal is trademark docketing software for IP practices. It connects to more than 180 intellectual property offices, pulls matter data from official filings, calculates due dates, and keeps a global portfolio in sync without manual entry. It also sells trademark protection tools, including a Section 2(d) watch that flags conflicting applications before publication and an automated global application match service. The Goods and Services Composer combines the USPTO ID Manual with two million live registered marks and shows filing fees by class as a description is built. The AI Filtering Assistant turns a typed request, such as a jurisdiction and date range, into report filters, and administrators can switch it off. Alt Legal Assist is a separate service in which the company's own IP paralegals manage a customer's docket. Pricing is based on the number of docketed matters, starts at $60 a month, and includes unlimited users, data migration, training and support. Alt Legal, Inc. is a Delaware corporation with offices in New York and London, and it acquired the WebTMS portfolio management product in April 2026.
Altumatim sells altumatimOS, an AI platform for eDiscovery, investigations and litigation built around review by multiple AI agents. Autonomous Review runs responsiveness, privilege, confidentiality redaction and production in one workflow. A team defines the subject matter in plain language and validates a balanced control set to build a gold set. The system then revises its own review instructions until results meet the F1 threshold the team sets, producing decisions with confidence scores and written explanations, privilege logs generated automatically and exports ready for production. The investigation and litigation products analyze relationships and timelines across large datasets to assemble the facts of a case. Altumatim publishes an AI governance page stating that customer data is never used to train models and that foundation model processing runs under enterprise agreements with zero retention. It also states that answers are grounded in the customer's own documents with citations, and that the customer's team can accept, reject or override every determination. The platform runs on premises, in the cloud or in a hybrid configuration, and the company is based in Birmingham, Michigan.
Amplified is an AI patent search and research platform that ranks a global patent collection by conceptual similarity rather than keyword match. A user describes an invention in plain language or enters a patent number, and the system sorts the whole database against it in real time. Results can then be narrowed with keyword filters, field selection, wildcards, proximity operators and full Boolean queries, which work alongside the AI. The search is iterative: the researcher marks results relevant, flagged or hidden, and the system learns from those marks to surface more like them. Two AI ranking modes are offered, semantic and neural concept similarity, and the AI sorts results but never excludes them. Keyword counts show where the model may have misread an input. Coverage runs to more than 140 million records across 97 or more authorities and 22 languages, with AI search native in English and Japanese. Pricing starts at $500 a month paid annually. The terms say Amplified will never use customer content to train general AI models, and will train customer specific models only at the customer's direction. Amplified AI, Inc. runs a Vanta trust center and builds on Fly.io and Amazon Web Services.
Anaqua sells enterprise intellectual property management software to corporate IP departments and law firms. Its AQX platform runs patent and trademark portfolios end to end: docketing and deadline calculation, prosecution workflow, renewals and annuities, domain names, document management, IP financial management and reporting, with editions for corporations, law firms and pharmaceutical companies. Connected products include PATTSY WAVE, AcclaimIP for patent search and analytics, ideaPoint, QuantifyIP, SeeUnity and WiseTime for automatic timekeeping. Four AI features ship today: a patent classifier; AI Patent Summaries in AcclaimIP; document auto processing of correspondence from the US, European, Japanese and WIPO offices and prior art import using Microsoft Azure AI Document Intelligence; and WiseTime's AI Narrative, which drafts invoice descriptions. AQX runs on Microsoft Azure as a dedicated instance per customer, with data location options in the United States, Canada, Europe, Japan and India, and an AnaquaGov enclave on Azure Government for controlled US data. Anaqua, Inc. of Boston holds ISO 27001 certification and a SOC 2 Type 2 examination, and names adidas, TSMC, GSK, Novo Nordisk and BASF among its clients.
Ankar is an AI platform for patent professionals, covering the work from invention capture to enforcement. Its drafting assistant learns a firm's style from prior applications and templates, then works through an application section by section with consistency checks that keep claims and description aligned; every suggestion can be accepted, edited or ignored. A patentability engine searches more than 150 million patents and publications and explains why each reference matters, with the user setting the similarity criteria and number of results. Other modules handle office action responses, claim charts, small molecule and sequence analysis, traceable citations, and guidelines and case law, plus invention disclosure and research tools for R&D teams. An infringement detection suite returns product level matches with visual evidence, source links and technical context. Drafting works in Microsoft Word. The platform runs as a hosted service in an AWS region the customer chooses or inside the customer's own private cloud. The terms say customer content is never used to train AI models and the customer owns all output. Named customers include Vorys, Valeo, Nexans, L'Oreal and Motorway UK. Ankar is operated by Ankar AI Ltd.
Annlex is a case law research platform for United States court opinions, operated by Annlex Systems LLC and created by founder Doug Hall. Its conversational tool, Annlex Chat, sorts each question into one of ten research patterns and retrieves opinions before the model writes. It links every citation to the opinion text and names Anthropic's Claude Sonnet as the model. A companion tool, Opinion Lens, works on a single opinion. It extracts the cases, judges and statutes cited, finds the question presented, rule and holding by paragraph, and answers questions from that opinion alone, saying when the opinion does not answer. The collection holds 10.5 million opinions from 3,355 courts spanning 1658 to the present, with 71 million citation links, loaded from the CourtListener bulk export maintained by the Free Law Project and updated quarterly. Annlex names pro se litigants, law students, solo and small firm practitioners, paralegals and journalists as its audience. AI queries are priced from $25 a month, and Boolean and semantic search are free. The terms are governed by South Carolina law with arbitration in Charleston, and the company says it is independent of any law firm, institution, data provider or AI company.
Antidote is billing compliance software for law firms. It targets the gap between the way a fee earner writes a time entry and the way a client's outside counsel guidelines require it to be written. It ingests a client's guideline documents alongside the firm's internal guidelines and historical billing data, and builds what it calls Individual Client Standards, a picture of what each client will and will not accept on an invoice. It then analyzes time entries throughout the billing cycle rather than only before the bill goes out, flagging entries that breach a guideline or are poorly drafted and generating a corrected narrative that a fee earner can accept in one click. Suggested fixes arrive by email, and the product sits on top of a firm's existing time recording and practice management software. Antidote publishes a SafeBase trust center naming ISO/IEC 27001:2022 and SOC 2 Type 1, listing Amazon Web Services, Anthropic, Google, Linear and WorkOS as subprocessors, and offering storage in the European Union, the United States or Australia. The company is Team34 Ltd, trading as Antidote Legal, based in London, and was founded by Nicholas d'Adhemar, previously founder and chief executive of Apperio.
AnwaltGPT is an AI platform for German law firms, in house legal departments and notaries, combining research, drafting and document work with case files and client collaboration. Its chat answers questions on German law with references to statutes, case law and literature, and Deep Research works through statutes, then case law, then the open web, linking each finding to its source. Beside it sit a contract generator, a gap analysis that finds missing clauses, a document editor, transcription, a legal watchlist and a workflow builder. Case intake checks every new inquiry against the firm's files and contacts for conflicts, and a client portal gives an access link for each matter. Word and Outlook add ins are offered, and a desktop agent called Cowork works on a folder on the lawyer's computer and returns edits as tracked changes. Models from providers such as OpenAI and Google run through Microsoft Azure in the European Economic Area, with AWS Bedrock or the vendor's own models as alternatives. Plans are priced per user per month, from a free trial of 30 requests up to 99 euros. AnwaltGPT is made by Mindverse, the trade name of Relativity GmbH of Berlin.
Anytime AI is an agentic AI platform sold only to plaintiff law firms, covering a case from intake through settlement. Its focus is the medical record: it turns thousands of pages into structured chronologies and case overviews of injuries, treatments, findings and care, flags treatment gaps and deviations from the standard of care, and carries the result into demand letters built around itemized damages. It also reviews discovery, drafts discovery responses, summarizes depositions and filings, drafts motions, briefs and memos, and does legal research. A chat assistant, Talk to Teddy, answers questions from the documents in a matter, cites a source for every answer and says so when the record has no answer. Practice pages cover personal injury, nursing home litigation, medical malpractice, trucking accidents and traumatic brain injury. The platform is described as a closed private cloud with AES 256 encryption at rest, TLS 1.2 or later in transit, role based access, audit logging and a policy that customer data is never used to train models. It connects to SmartAdvocate, Litify, SharePoint, Dropbox, OneDrive, Google Drive and Box. Anytime AI is based in White Plains, New York.
Aptus.AI is an AI research, drafting and regulatory monitoring platform for legal and compliance work, sold as Next-OS since 30 June 2026. Lawyers ask questions in plain language and receive answers drawn from a database the company curates: more than 70 million legislative and regulatory provisions and more than 7 million Italian court decisions from over 200 issuing bodies in Italy, the EU and several financial centers abroad. Each source opens as an AI summary, as full text and through a link to the official publisher. Texts are converted into a patented machine readable format based on the Akoma Ntoso standard, which lets the platform track amendments and build consolidated versions. Around research sit document analysis, drafting, a workspace for each matter, connectors to SharePoint, OneDrive and Outlook, and daily regulatory alerts with impact and gap analysis. Self serve plans are sold to lawyers and law firms, with enterprise editions for large firms, in house legal departments and compliance functions. Named customers include Intesa Sanpaolo, Generali Investments and Banca Agricola Popolare di Sicilia. Data is hosted on AWS in Ireland. The company was founded in 2018 in Pisa, has offices in Milan and Luxembourg, and is independent and venture backed.
Aracor is a deal platform that reads the documents behind a transaction and ties every finding to the language it came from. A team uploads a document set and gets a fully cited comparison of terms without setup or prompting. It also runs structured due diligence workflows, summarizes whole folders in one click, and redlines contracts against set or custom criteria in the platform or in Microsoft Word. Optical character recognition handles scanned files, and a signature check confirms executed documents. Every output links to the exact source language and the reasoning behind it, with citations at sentence level. The deal workspace updates as documents change, and non English documents are supported. Aracor runs zero data retention by default, processing documents only during a session in isolated environments. It offers three deployment choices: cloud models managed by Aracor with access to OpenAI, Anthropic and Google systems; the customer's own API keys; or a private model in the customer's own environment. Its terms say neither third party models nor Aracor's Legal AI Engine will train on customer content without explicit consent. Buyers are investment funds, in house legal and corporate development teams, and law firms doing deal work.
Aranzadi Allegra is the generative AI legal assistant of the Spanish legal publisher Aranzadi LA LEY, working from the publisher's own collection of close to 10 million documents of legislation, case law and expert commentary rather than the open internet. In one workspace it answers questions in plain language, analyzes uploaded judgments, briefs and contracts with links to the sources it cites, and drafts letters, claims, appeals and contracts. Four analysis modes rate a contract's risks clause by clause, test a compliance policy against the applicable rules, check the reasoning of the user's own brief and look for weaknesses in an opposing filing. Allegra Flow, launched on 30 June 2026, turns one description of a case into a plan of research, analysis, drafting and review phases. Allegra itself launched on 26 March 2026. It is sold through demos to law firms, legal departments and public bodies, and is included for the first user of Aranzadi One, the package for solo lawyers and small firms. The company names Azure OpenAI as its technology partner. Aranzadi LA LEY is based in Madrid and owned by the Scandinavian Karnov Group.
AscentAI is a regulatory lifecycle management platform for financial institutions. It is built on the idea that a firm should hold a register of the specific obligations that apply to it, rather than a library of rules at large. It has two modules. AscentHorizon scans for regulatory news, guidance, enforcement actions and amendments worldwide, filters them to a customer's declared interests, links related documents, and gives teams shared workflows over the result. AscentFocus builds and maintains the obligations register, finds gaps and duplicates, and assesses which regulatory changes affect which obligations. Around them sit side by side rule comparison with changes redlined, AI summaries of what a change means, impact assessment against the register, and an audit trail for examinations. Obligations can be mapped to internal policies and controls, and the platform integrates with GRC systems including MCO, LogicGate, Onspring, Resolver and Corestream. Coverage is stated as 98 countries, about 1,000 data sources and 400,000 obligations across banking, other financial services, crypto, market infrastructure and topics such as consumer protection, privacy, anti money laundering and ESG. Formerly Ascent Technologies Inc., it rebranded in March 2025, is based in Chicago, and holds a SOC 2 Type I attestation.
Athennian is a legal entity management platform, sold as Governance Ops software, for in house legal, tax, treasury and finance teams at corporate groups and private markets firms, and for the professional services firms that serve them. It holds entity and people records, equity and debt structures, structure charts, appointments of directors and officers, document management with templates and electronic signature, governance workflows, and compliance tasks and reports across jurisdictions. A bidirectional API has public developer documentation. Athennian AI extracts governance data from uploaded documents to create and update entity profiles, onboards newly acquired entities, flags anomalies and missing data for review, and answers governance questions. Human verification is kept over the results and every step is tracked. The company is Paper Interactive, Inc., doing business as Athennian, of Calgary, Alberta, and states more than five hundred thousand entities managed across a hundred and fifty countries. Its published AI terms bar Athennian and its model providers, named as Google and Amazon, from using customer data to train any model. It states SOC 2 Type II certification and hosting on Amazon Web Services, runs a trust center, and sells by package.
AttiFin is an AI legal assistant built for UK law, sold to law firms and in house legal teams for three jobs: research, drafting and summarization. It answers questions across UK case law, statutes and precedents with citations attached. It drafts routine documents from researched material and a firm's own approved precedents, and reads large document bundles to surface what matters, with each finding traceable to its source. The platform is hosted in the United Kingdom, and uploaded documents, queries and generated content are stored there. A few optional features, including live web search and single sign on, send limited data abroad and can be switched off, with the configuration confirmed in writing on request. The terms of service prohibit training AI models on customer content and bind subprocessors to the same restriction. They address legal professional privilege and the solicitor's confidentiality duty under the SRA Code of Conduct directly. AttiFin AI Ltd is registered in England and Wales and works from Newcastle upon Tyne. Access is arranged through a demo, and no pricing is published.
Augmetec builds LEIAA, a command center for internal and regulatory investigations. It holds a whole investigation in one place rather than across spreadsheets, shared drives and mailboxes: scoping, evidence management, interviews, analysis and reporting through to the final report. The organizing idea is the Line of Inquiry, the question a team is pursuing, against which the platform identifies relevant evidence, builds fact patterns and surfaces answers, with tools that flag altered documents. Smart actions identify witnesses and prepare interview questions in real time, build chronologies, produce tagged notes and suggest next steps. The platform also creates evidence bundles automatically and finds similarities with the organization's past investigations. Each customer gets a dedicated instance on its own subdomain, with single sign on and integrations with document management systems and Microsoft and Google tools. Augmetec publishes its master services agreement and data processing addendum, including a full schedule of technical and organizational security measures. It sells to law firms and to in house legal, ethics and compliance teams. The company was founded by an investigations lawyer with an operations leader and a machine learning specialist.
August is a legal AI workspace for law firms. It is built around an assistant that answers questions across documents, folders, email and the web, a tabular review surface that turns large document sets into a comparison grid, and configurable agents that chain research, analysis and drafting steps into repeatable workflows. It works inside Microsoft Word, Outlook and SharePoint, generating edits as tracked changes a lawyer accepts or rejects in Word's review mode. It connects to the SOS practice management system to pull matters into workflows and sync completed work back. The company publishes its platform agreement, security addendum, data processing addendum, subprocessor list, AI policy and law enforcement guidelines in full, including stated liability caps and a contractual prohibition on training models with customer content. Named customers run from a firm of twenty lawyers to the Am Law 150 firm Hughes Hubbard, with deployments in the United States, the United Kingdom, Australia and India. August is operated by Credicle Corporation, a Delaware corporation.
Avvoka turns a firm's precedents into automated templates and carries the resulting document through negotiation to signature. A user answers a questionnaire and the platform assembles a first draft from the firm's own approved language, with no coding needed. The work then happens in one live document rather than emailed versions: counterparties and colleagues work on a single controlled draft, comments become assigned tasks, every version is saved, and the firm sets in advance which clauses are locked and which can be negotiated. Documents are signed in the platform or through Docusign and Adobe Sign. Because clauses are structured, Avvoka records how each one is marked up across a portfolio. That produces negotiation heatmaps, reports on pushback against standard positions and comparisons of negotiator performance, so a firm can revise its precedents. Its AI builds templates from existing documents, drafts within the firm's rules and powers MassDraft for large repapering projects. A published partnership with Harvey lets a lawyer there draft from the firm's Avvoka templates and clause library. It sells to law firms and in house teams.
Bench IQ is a judicial intelligence platform that describes how individual federal judges reason, aimed at rulings that conventional research cannot reach. Judges issue written opinions for only about three percent of their rulings, so a lawyer preparing a motion or argument has little to go on for the rest. Bench IQ has built a proprietary dataset covering those unwritten decisions, including rulings delivered orally from the bench, and uses large language models and AI agents to find patterns in a judge's reasoning. The output explains rather than counts: instead of how often a judge grants a motion, it sets out when and why a judge reached a conclusion, such as when a bankruptcy judge approved above market deal protections. The founders say the aim is to help lawyers shape a case, not predict it. Coverage is the US federal judiciary, starting with commercial bankruptcy, with state courts and other common law jurisdictions named as next. The buyer is a litigator at a large firm, and the vendor says four of the top five AmLaw firms use it. The method behind the dataset is not published, which the company attributes to pending patents.
BigHand has sold operational and financial software to law firms for more than thirty years. It reports more than 810,000 users across 3,300 firms, including 81 percent of the AmLaw 200, 82 percent of the top 200 UK firms and 96 percent of the top 50 firms in Asia Pacific. Its sixteen products fall into three groups. People productivity covers Workflow Management, Resource Management, dictation and speech recognition, and Impact Analytics. Document productivity covers Document Creation, Metadata Management, formatting, stamping, redaction and proposals. Financial productivity covers Business Intelligence, Matter Pricing, budgeting, partner performance, PrebillManager and AlertManager. The AI sits in a few places. Impact Analytics, acquired as Digitory Legal, uses machine learning to turn inconsistent timecard narratives into structured phase and task data for pricing, staffing and billing. AI Email Routing shipped in the Workflow Management Spring Update in 2026, and speech recognition transcribes dictation. In August 2026 BigHand acquired Ayora, a legal AI pricing business from Mishcon de Reya's MDR Lab, and is integrating it first into Matter Pricing. Hosted products run on Microsoft Azure in the customer's region, and installed versions run on the firm's own systems. BigHand Limited is registered in London, with BigHand Inc in Chicago.
BigID is a New York company whose platform discovers and classifies data across cloud, SaaS, on premises, hybrid, structured, unstructured and AI connected sources. It feeds that inventory into three groups of applications sold in bundles. Data security covers posture management, cloud data loss prevention, access governance and insider risk. Privacy operations cover data subject requests, a privacy portal, cookie consent, records of processing, privacy and AI impact assessments, data mapping and data sovereignty. Data management covers cataloging, retention, deletion, labeling and minimization. Classification is the engine underneath, using machine learning, natural language processing, pattern recognition and custom classifiers. An AI governance layer inventories the models, agents, copilots and pipelines an organization runs, maps which sensitive data reaches them and scores AI risk. Optional generative features run on Amazon Bedrock or the Microsoft Azure OpenAI Service. The software is sold as hosted cloud or self managed on premises software, priced on data sources, connectors, deployment type and support level, with a free trial. BigID publishes its license agreement, data processing addendum and subprocessor list in full, and holds SOC 2 Type II.
Billables AI records a lawyer's billable time without the lawyer recording it. Instead of timers or end of day reconstruction, it connects to the applications where work happens, including Microsoft 365 with Outlook, Teams and Word, Google Workspace, Adobe, Zoom and the Chrome and Edge browsers, and watches activity as it occurs. It separates billable work from the rest, calculates durations without start and stop input, matches work to the client and matter, reconciles overlapping activity and writes a narrative, leaving a completed daily time report in a dashboard. It learns each timekeeper's billing preferences and writing style over time. A user's time reports are visible only to that user, who can edit or delete any record before it is exported or shared, and the terms require the customer to review output before relying on it. An intelligence layer shows firm leaders billable and nonbillable hours, realization and approval status by user, client and matter. Named customers include Tycko & Zavareei, Kronenberger Rosenfeld, Corporate Law Partners and Mohan Groble Scolaro. Billables Incorporated is based in San Francisco.
Bind is an AI contract platform for in house legal teams that it describes as an agentic workspace rather than another CLM. Users describe a deal, paste notes or forward an email, and Bind drafts the contract in Word from the team's own templates and playbook. When the counterparty sends changes, Bind reads each redline against the playbook and past deals, keeps a history of what was conceded in earlier rounds, and proposes a review plan that a person approves before it drafts the next turn. Signed contracts are stored with parties, values, dates and obligations extracted, renewal windows are tracked, and rules can file, tag and assign contracts automatically. eSignature is built in, and connections cover Salesforce, Notion, Linear, email intake and a REST API. Prices are published: Starter at $90 per user a month and Business at $500 a month for five users, billed annually, with Enterprise quoted. Bind says its AI is never trained on customer contracts, runs language processing through Groq, OpenAI, Reducto and Anthropic, and hosts data on AWS in the EU by default with US hosting as an option. It holds ISO 27001 certification and a SOC 2 Type I report. Bind was founded in Helsinki in 2024 by the team behind Aatos, a Finnish consumer legal service, and is operated by Aatos Legal Technology Oy. It also sells to sales, procurement, consultancies and recruitment agencies.
BlackBoiler is AI contract review software that applies a legal team's own negotiation standards to incoming contracts as first pass tracked changes in Microsoft Word. It turns material the organization already has, such as prior redlines, approved language, fallback positions and written playbook guidance, into executable playbook rules. It then marks up a new agreement against them and returns tracked changes and comments in the document the reviewer has open. The lawyer decides what to accept, change, reject, escalate or negotiate, and the vendor says plainly that playbook coverage may be incomplete. The company holds eleven US patents on document revision, playbook driven markup and clause handling. In June 2026 it launched Veris, a conversational layer in the Word add-in for building playbooks in plain language, revising provisions and questioning a clause against existing standards, with a check of each proposed edit before the lawyer sees it. Buyers are in house legal teams, law firms and contract managers handling recurring agreements such as NDAs, service agreements and subcontracts, with an offering for construction contracting. Starter and Pro plans are sold online with a seven day trial; Enterprise is scoped. It states SOC 2 Type II certification and is hosted on Amazon Web Services.
Blee is an AI marketing compliance platform from Blee, Inc. of New York, sold to legal, compliance and risk teams that review marketing, product and sales content, with marketing and operations teams as its other users. Its Content Reviews product runs an AI first review of submissions from tweets to videos an hour long and Figma mockups. It flags regulatory risks, missing disclosures and unsubstantiated claims against rule sets that its legal engineers build with each customer from regulations, internal guidelines and risk tolerance, routes each asset to a reviewer and keeps an audit trail of flags, versions and approvals. Its Content Monitoring product scans live websites, social channels, influencer and partner content for outdated claims and missing disclosures, including content that bypassed review. For financial services it ships rule sets covering UDAP and UDAAP, Regulation Z, FINRA Rule 2210, the SEC Marketing Rule and others, and it also serves consumer brands, insurance, life sciences and travel. Blee states SOC 2 Type 2 compliance and enterprise agreements barring its AI providers from training on customer data. Pricing is by annual subscription, quoted on request.
Bloomberg Law is a legal research and intelligence platform combining primary law, dockets, expert practical guidance and a legal newsroom in one subscription. The vendor quantifies its content: more than 15.5 million court opinions, growing by about 50,000 a month; about 200 million dockets with over 21 million pleadings; more than 5 million statutes and regulations; 75 million EDGAR filings; and over 8,200 guidance documents by practitioners. Machine learning runs through this content. BCITE, the platform's own citator, uses machine learning to show whether a holding is still good law; Docket Key classifies more than 200 motion and brief types across federal district courts; Litigation Analytics profiles courts, judges, firms and attorneys; Draft Analyzer compares agreement language with market standard; and Points of Law links related opinions. Generative tools sit on top: Bloomberg Law Answers gives sourced answers, AI Assistant is a chat that links answers to authorities, Complaint Summaries condense complaints in docket alerts, and Clause Adviser explains contract language. A published AI page describes retrieval augmented generation with a proprietary guardrail service, grounding in the vendor's own content, and abstention when no content covers a question. Buyers are law firms, in house teams, government and law schools, on a flat, all inclusive subscription. Bloomberg Law is published by Bloomberg Industry Group, Inc., an affiliate of Bloomberg L.P., and launched in 2009.
Blue J is an AI research tool for tax law, sold in the United States, Canada and the United Kingdom. A tax professional asks a question in plain language and gets an answer built from primary tax authority and licensed Tax Notes and IBFD commentary, with each source cited and highlighted. Most buyers are accounting and tax firms rather than law firms, and named customers include Crowe and RSM US. The individual plan is priced at $1,498 per user per year and can be bought online, and the security page lists every subprocessor, including OpenAI and Google behind the answers. Blue J is operated by Blue J Legal Inc. of Toronto.
BrandShield is a brand protection and external cybersecurity platform that finds and removes online threats aimed at a company's brand, executives and customers. It monitors marketplaces, websites and domains, social media, paid ads, mobile app stores and the dark web. A product launched in 2026 also checks what generative AI platforms say about a brand: it prompts ChatGPT, Gemini, Perplexity and Grok with brand queries and then acts against the sources those answers cite. Detection runs on AI.ClusterX, the company's own threat clustering engine, which reads infrastructure, hosting patterns, content signals and behavioral indicators to judge whether a domain or asset is malicious. Image detection catches altered logos and product visuals. The company's own enforcement team coordinates takedowns with platforms, registrars and hosting providers. Customers can buy the platform fully managed, self service or hybrid, so they can run incidents themselves, hand them to a 24/7 security operations center, or split the work. The company publishes pages for twelve industries and for six buying roles, including legal counsel, compliance and information security. BrandShield Resolve, an entry level product for domain and phishing protection, is sold through AWS Marketplace. The contracting entity is Brandshield Ltd. of Herzliya, Israel.
BriefCatch is legal writing and citation checking software for lawyers, judges and courts, used in Microsoft Word, Outlook or a browser. Its core editor is rule based, applying more than 12,000 rule sets for clarity, concision and persuasiveness. Its AI features are off by default. The main one, RealityCheck, included in every plan since September 2026, confirms that cited cases and federal statutes exist, then checks with AI whether quotes appear in the opinion and whether the authority supports the point. Prices are published, from $60 per seat per month on annual billing. Named customers include Skadden, Wilson Sonsini and Nixon Peabody. The company is LawCatch, Inc., trading as BriefCatch, based in Washington DC.
Briefly is an AI platform for law firm marketing and business development teams, built around directory submissions to Chambers, Legal 500, IFLR, Benchmark and WTR. A firm uploads past submissions as PDF, Word or Excel files, and the AI extracts every matter, attorney, client, referee and narrative into an Experience Graph that links them across years, directories and practice areas. From that graph the team schedules and tracks open submissions across more than 5,000 practice and location cohorts. It drafts in an in app editor by dragging matters and attorneys onto the page, converts a submission from one directory's format to another with a view of what changed, and exports to Word in each directory's format. A chat interface answers questions about the firm's matters with citations to the source records and generates pitch sections, RFP answers, partner bios and website copy. A rankings view tracks tiers and attorney rankings year over year. Briefly is made by Precedent Labs Inc. of San Francisco, states SOC 2 Type II compliance and publishes no prices.
Briefpoint is an AI drafting tool for written discovery in civil litigation. From an uploaded complaint or answer it generates interrogatories, requests for admission and requests for production in the caption, numbering and definitions format of any of the fifty states or 98 federal district courts. From the other side's requests it drafts responses with suggested objections. It sends interrogatories to the client through a secure link in English or Spanish and turns the answers into responses ready to serve. It reads requests for production against the firm's files and writes responses cited by Bates or exhibit number, and it enforces discovery playbooks the firm defines, catching contradictions before service. Drafts are delivered in Word, and the vendor states that an attorney should review all content before service. The company is The Simple Associate, Inc., doing business as Briefpoint, in San Francisco, and states more than a thousand law firms as customers. Its terms restrict use to licensed attorneys and their agents, commit to advance notice of compelled disclosure and delete data within seven days of cancellation. It states SOC 2 Type II certification and that nothing typed into the product trains Briefpoint's or any third party model.
Brightflag is a legal spend and matter management platform for corporate legal departments, founded in Dublin in 2014 and owned by Wolters Kluwer since June 2025. Its core is AI invoice review. A supervised model classifies every invoice line by phase and activity, and a rules engine checks each line against the department's billing guidelines before reviewers approve and accounts payable pays. Around it sit matter and vendor management, budgets, accruals, spend forecasts, RFPs and reporting. Generative features add invoice summaries on an AI21 Labs model and Ask Brightflag, a chat interface on Anthropic's Claude for questions about spend data. Brightflag states ISO 27001, SOC 1 Type 2, SOC 2 Type 2 and ISO 42001 certification and hosts data on AWS in Ireland, the United States or Australia. Its integrations reach finance systems such as Coupa, SAP and Workday, document systems such as iManage and NetDocuments, and AI tools through an MCP server. Pricing combines a one time implementation fee with an annual subscription based on outside counsel spend.
BRYTER sells two products built to work together. BRYTER Workflows is an automation platform for legal and compliance teams, built without code, and was the whole company from its founding in 2018. Legal engineers use it to build intake and triage, approval workflows, client portals connected to Microsoft Teams, Slack and email, document automation, contract review, mass claims handling and compliance tools. BEAMON AI is an AI suite for lawyers, sold on its own domain and priced separately. Assist is a chat assistant that drafts from templates, summarizes and compares contracts against playbooks, translates, and answers from a firm's own knowledge. Extract pulls structured data from large document sets for due diligence, contract review, regulatory reviews and remediation. A plugin brings drafting and redlining into Microsoft Word. Hybrid Agents combine AI and workflow for jobs such as claims processing, timelines from files, court documents, billing guideline review and ISDA review. BEAMON AI has three published per user tiers and a free trial, and Workflows is quoted. Integrations include SharePoint, Salesforce, DocuSign, iManage, DeepL and the Otto Schmidt legal database. Named customers include Linklaters, Ashurst, Hausfeld, Deloitte, PwC, KPMG, McDonald's, ING Bank, Rakuten and Telefónica. BRYTER GmbH is based in Frankfurt am Main, with offices in London and New York.
BusyLamp is an electronic billing and outside counsel spend management product for European corporate legal departments, run in the eBilling.Space application. Onit acquired BusyLamp GmbH of Frankfurt in September 2021 and runs it as an independent subsidiary. Law firms submit invoices, which legal teams review against billing guidelines and approval workflows, track against matter budgets, accruals and work in progress, and report on by firm and matter. VAT, multiple currencies and Germany's statutory fee table are built in. The main AI feature is the Smart Invoice Converter, which turns invoice PDFs into LEDES files with UTBMS codes and timekeepers, using OpenAI in the United States. Since August 2026 a client can require law firms to submit through it, and firms review and correct each converted file before submitting it. A support chatbot from Maven AGI also runs on AI. Customers choose hosting in the United Kingdom or Germany, and the interface runs in English and German. Onit's Subscription and Services Agreement, its data processing addendum and a BusyLamp table in its subprocessor list govern the product. Associated British Foods and EDF have spoken publicly about using it, and pricing is quoted through Onit's sales team.
Candle AI is an AI email assistant for law firms from Candle AI, Inc. of Austin, Texas, running inside Gmail and Outlook through a Chrome extension and an Outlook add-in. It sorts and prioritizes incoming email, attaches the client, matter, deadlines and prior correspondence from the firm's case management system, drafts replies in the lawyer's voice grounded in the matter file, and logs email work as time and activity. Its Candle Work agents go further, proposing record updates, filing documents to the matter and logging activity, which a user at the firm must approve before anything is sent, saved or filed. It connects to Clio, Filevine, MyCase, Docketwise, Mitratech INSZoom, Visalaw, Litify and Salesforce. The company says it is used by more than 60 law firms across practice areas, including immigration and personal injury firms, and it was runner up in the ABA TECHSHOW 2026 Startup Alley. Founded in 2024 by Sujith Jose and Carl Davidson, it is backed by The LegalTech Fund. Plans are priced per user per month by team size, with no figure on the company's own site; the Clio App Directory lists pricing starting at $49 a month.
Canopy is data breach response software from Canopy Software, Inc. of Reston, Virginia, which Epiq acquired on 25 September 2026 and is bringing into its Epiq AI agentic suite through Epiq Service Cloud. It is used by review and legal service providers, digital forensics and incident response firms, breach counsel and cyber insurers after a cyber incident. Its patented Data Breach Response product uses hundreds of machine learning models to find personal and health information in compromised data of any file type without normalization, produces an impact assessment report of what was found, speeds document review, consolidates records into a deduplicated list of affected people, and exports notification lists for GDPR, HIPAA, FERPA and other notification duties. Auto Review automates the first level of review with a proprietary ensemble of generative AI and large language models, with confidence levels that direct human quality control. It runs on AWS in the United States, Canada, the European Union, Germany, the United Kingdom and Australia. Law firms typically reach it through Canopy's partner providers, and named users include Wotton + Kearney. Pricing is not published.
CARET Legal is a cloud practice management platform for small and mid sized law firms. It combines case management with built in email and calendaring, automated workflows, document management, contact management and client intake, a client portal, LEDES billing, integrated payments, and full legal accounting including trust accounting, with reporting on higher tiers. Its AI began with Quick Summary, a document summary feature launched in beta in September 2023 on Microsoft's Azure OpenAI Service. It has grown into CARET AI, which works from the matters, time, billing and deadlines in the platform to find unbilled time, flag items needing attention and calculate deadlines. The company is Abacus Data Systems, Inc., doing business as CARET and formerly AbacusNext, based in San Diego, with more than 6,500 firms on the platform. Pricing is published at $79, $99 and $119 per user per month billed annually, plus one time implementation fees. Its terms say AI outputs are not legal advice and need human review, and they license AI inputs and outputs to CARET to train, tune and evaluate its models.
Case Status is a client communication layer for law firms. It sits on top of the case management system a firm already runs rather than replacing it. Clients get a branded mobile app, opened by text message without a password, that shows where their case stands and what happens next, with secure messaging, document scanning and upload, and short videos for each stage. For the firm it gathers what would otherwise arrive by phone, text and email, tracks client satisfaction through a matter, and prompts for Google reviews and referrals when a client scores highly. The AI features are sold individually: translation of client messages, case summaries, response drafting with urgency ranking, a triage agent, automation agents and sentiment tracking. Drafted replies are shown to staff to review before sending. It integrates with thirteen named case management platforms, including Clio, Litify, MyCase, Filevine, Neos, SmartAdvocate and CASEpeer. Case Status, Inc. is based in South Carolina and says it acts as a data processor for the firms that use it. Several hundred firms use it, mostly in personal injury, workers compensation, disability, mass tort and immigration practice.
CaseBlink is an AI case preparation platform for US immigration attorneys and law firms, run by CaseBlink, Inc. of New York and founded in 2023. It organizes and labels uploaded client documents, extracts data into USCIS forms, and drafts support letters, briefs and RFE responses in the firm's style with citations to the uploaded evidence. It researches AAO decisions, the USCIS Policy Manual and case law, and assembles tabbed packets ready to file. Its Autopilot agent, launched at the AILA 2026 conference, runs the full sequence in one click for attorney review. It covers employment, family, humanitarian and naturalization case types, and sells per seat from $100 a month, with AI drafting from the $200 Core plan. CaseBlink also runs a page for individual applicants that matches them with partner immigration firms using the platform. It uses OpenAI under an agreement for zero data retention, and Google Cloud, and reports SOC 2 Type 1 (2024) and Type 2 (2025) audits. CaseBlink raised $2 million in March 2025 in a round led by Tower Research Ventures and says more than 100 firms use it.
Casefleet is case chronology and fact management software for litigators, operated by LAWPRCT, Inc. of Atlanta, Georgia, and sold to plaintiff and defense firms since 2016. The core is a fact chronology that links every fact to its source document. Around it sit a document reviewer, visual timelines, case outlines, full text search, deposition transcript markup, and audio and video review with transcription. The AI layer is branded Casey. It includes an assistant that answers questions about a case with clickable citations to source documents. Proposed Facts has Casey draft facts with a citation to each source, and the user approves every one before it joins the chronology. Other AI features cover summarization, entity recognition, bulk tagging and renaming, AI search and agentic workflows for multi step case tasks. Practice pages cover employment, criminal, personal injury, workers' compensation, family law, complex litigation and medical chronologies, and some pages are aimed at individuals handling their own matters. Pricing is published: Starter at 30 dollars per user per month, Advanced AI at 140 dollars, and custom Enterprise quotes above twenty users. The customer agreement, effective February 2026, says customer data will not be used to train Casefleet's AI systems without explicit consent.
Caseflood is an AI intake platform, sold with an advisory engagement, for plaintiff and consumer law firms that run their own intake teams. The firm's reps handle every conversation inside Caseflood's workspace. They are supported by predictive dialing, AI texting and immediate response to new leads, live AI call guidance, case capture against the firm's own qualification rules, retainers in one click and call summaries prepared by AI. Leaders get evidence at the level of each call, analysis of missed cases, coaching tools and a way to ask Caseflood how intake is performing. Caseflood configures the platform with the firm and helps diagnose and improve its intake and marketing operation over the following months. The company is backed by Y Combinator. Pricing is not published.
CaseGen is an AI voice intake and reception platform for law firms, operated by MAF AI, Inc. of Irvine, California. Three named agents do the work. Justina answers inbound calls around the clock, takes full intakes, handles calls from existing clients, screens out spam and flags high value cases for live transfer. Justin follows up with leads who have not signed and can call them to finish the intake, and Maya checks in with medical providers and clients on treatment for personal injury firms. The agents work in more than 20 languages and text callers to collect photos and documents. They send transcripts and intake summaries into Clio, Filevine, Lawmatics, 8am and other systems, with a dashboard for call analytics, live transcripts, playback and a live call intercept. CaseGen runs as a managed service: its team configures and operates the agents to the firm's instructions, and firms request changes rather than editing settings themselves. It serves law firms only, across personal injury, workers' compensation, lemon law, employment, family, criminal, immigration, real estate and business law. Pricing is per call and month to month with an implementation fee, quoted after a discovery call.
CaseGlide is a litigation intelligence platform for corporate legal departments and property and casualty claims organizations, built on matter management and ebilling and layered with three named AI products. Case Clerk AI reads the status reports defense counsel already send, extracts the material facts, updates the case file and syncs it to the claims system. Chronicle AI assembles a case chronology from depositions, independent medical examinations, demand packages and expert reports. Chambers AI answers questions from the customer's own closed and open case history. Each carries a published guardrail: no fact enters the file without a traceable source, every chronology entry links to its source document by page and line, and Chambers draws on no one else's portfolio. The vendor states that it does not predict verdicts or score outcome risk. The platform scores exposure, posture and deadlines across a docket, flags settlement candidates, and measures defense counsel on reporting quality, cycle time and results. Council, a separate analytics engagement of ten weeks run from a data extract, sits alongside the platform. CaseGlide, LLC is based in Tampa, Florida.
CaseMark turns a litigation record into the work product a matter needs, with each statement cited back to the page it came from. Structured Summaries sells deposition summaries, medical chronologies and trial and hearing summaries one at a time, from $25 and with no subscription. Workspace is a matter workspace for litigation teams, with chat across a matter's files, deep research, custom agents, tabular review and more than 880 legal skills, from $100 per user a month. Insight Pass lets a user set the audience, side and purpose of a summary before it drafts. Source is a production and delivery platform for court reporting and litigation support firms. It packages certified transcripts, drafts exhibit indexes, cuts captioned video clips and runs a branded portal where clients order summaries. All three run on case.dev, CaseMark's platform of 18 services, which developers also buy directly. About two thirds of inference runs on open weight models hosted in the United States, and the terms rule out training on customer data. Named users include Nelson Mullins, Ogletree Deakins and Fortz Legal Support. CaseMark AI, Inc. is based in Portland, Oregon, is backed by Gradient, Lerer Hippeau and Cambrian, and sells only in the United States.
CaseMine is an AI legal research platform covering case law in India, the United States and the United Kingdom, built on a case law repository the company has developed since 2013. It has four tools. AMICUS is a conversational assistant built on GPT technology and grounded by retrieval augmented generation, pulling case law, statutes and principles from CaseMine's database before answering; it handles research, summaries, argument generation, drafting and contract review. CaseIQ takes a whole document as the query, so a user uploads a brief, pleading or judgment and gets matching precedents, missing arguments and suggested reasoning. Parallel Search reads the intent behind a plain language question and returns relevant authority even when the words differ, and Citation Search finds a case from its citation. The platform also has its own citator, which flags negative treatment and overruling and shows where and how often a judgment is cited. Coverage is listed by court: the Supreme Court of India, all High Courts and tribunals; the US Supreme Court, federal circuit and district courts, bankruptcy and immigration courts and all fifty states; and the UK Supreme Court, Court of Appeal, High Court and major tribunals. Keyword search is free without an account, and the AI tools are sold on tiered subscriptions. CaseMine is run by Gauge Data Solutions Pvt. Ltd. in India.
CasePeer is cloud case management software built only for plaintiff personal injury and mass tort law firms. The core is the injury case file: medical treatment and provider tracking, injury records, liens and letters of protection, a settlement calculator with distribution and expense tracking, client trust tracking, statute of limitations alerts, timelines, and document management with unlimited storage and electronic signature. Intake and CRM tools cover leads, case sources, intake forms and a portal, with case grading on higher tiers. Clients get two way texting and a portal. Reporting is a focus, with more than fifty reports plus productivity, medical request and multi office suites. The AI is 8am IQ, included on the Pro and Advanced tiers. Its Writing Assistant fixes grammar, simplifies and adjusts tone, and its Translation Assistant covers English, Spanish and Arabic. Payments run through sister brand LawPay. Integrations include medical records retrieval, client messaging, and AI demand letter partners such as EvenUp, Novo and Practice AI. Three per user tiers are priced publicly, with no long term contract or setup fee. CasePeer was founded in 2015, is based in Austin, Texas, and is run by 8am, LLC, formerly AffiniPay, which also owns MyCase, Docketwise and LawPay.
Casepoint is an eDiscovery and data discovery platform for government agencies, corporate legal departments and law firms. It runs legal hold, collection, processing, review, production, investigations and FOIA public records response in one system. Its AI, CaseAssist, is included in the price. It ranks documents for review as reviewers code them, and answers questions about a matter's documents with citations. Its security authorizations for government work include FedRAMP High and Department of Defense Impact Levels 4 to 6. Casepoint says it serves about 80 percent of federal agencies and more than 250 government agencies in total.
Caseway is a Canadian company, contracting as Caseway AI Inc., that sells AI legal research and document automation over Canadian and United States court decisions. Its research assistant, Casey, answers legal questions in conversation with answers cited to real decisions, and offers uploads, document analysis linked to citations, summaries, bulk research workflows and API access. The same collection is searchable free and without an account through CaseLite, which covers published United States federal and state decisions, Canadian federal, provincial and territorial case law, and primary law for California, Florida, New York and Texas. A published methodology page explains where the collection comes from, how it is updated and what it does not cover. CaseForm completes court and regulatory forms from source documents, and Synthium is an enterprise data hub that can run on premises or in an isolated cloud. The terms of 7 February 2026 set zero retention as the default, bar training public AI models on customer input, and state that material entered is not protected by privilege. In March 2026 Caseway confidentially settled a claim over the sourcing of court decisions brought by the Canadian Legal Information Institute in the Supreme Court of British Columbia.
Centari is a deal intelligence platform for transactional law firms and investment funds. Its Deal Reasoning Engine converts deal documents such as credit agreements, limited partnership agreements and M&A closing sets into a structured database, backed by citations and built to each firm's own taxonomy. Lawyers use it to find precedent clauses, benchmark negotiated terms, profile matters and prepare pitch materials. Features added through 2026 include Projects for extraction grids, a Centari Intelligence sidebar that answers questions with citations to source language, Tasks for tracking human verification of extracted data, External Views for sharing dashboards under the firm's own brand with clients, and an MCP server with a Microsoft Copilot integration. A dedicated account team of attorneys and engineers calibrates each deployment. Centari, Inc. is a Delaware corporation backed by venture capital and headquartered in New York. The firms it names as customers include Fried Frank, Willkie Farr & Gallagher, Ropes & Gray, Wilson Sonsini and Gilbert + Tobin.
Centerbase is a cloud practice management platform for midsize law firms, built around running the business of a firm rather than practicing law. It brings matter management, timekeeping, billing and collections, trust and general accounting, document management, client intake, a client portal, CRM and workflow automation into one system, with embedded payments and electronic billing through a BillSync integration. Its AI, Centerbase IQ, launched in April 2026 at the Association of Legal Administrators annual conference. A managing partner or firm administrator asks a question in plain language, for example about collection rates by practice group or work in progress aging beyond sixty days, and gets a visual answer. Every answer carries the source records behind it, so a figure can be traced to the billing entry or matter, and the vendor states that the analysis is isolated to the firm's own data. Centerbase also integrates with NetDocuments ndMAX and partners with Billables AI for time capture. Centerbase, LLC is based in Dallas, Texas.
Chamelio is a legal intelligence platform sold only to in house legal departments. It has two modules. Negotiate is a Microsoft Word add in that reviews and redlines contracts against playbooks, which it can generate from a team's own precedent. The Knowledge Center is a searchable store of contracts, templates and policies, with metadata extracted automatically. Agentic workflows chain legal work across intake, review, approval and signature, with approval steps and eligible approvers set for each workflow, and an AI agent answers questions from the department's own documents. Chamelio connects to Slack, Salesforce, DocuSign, Google Drive and SharePoint, supports single sign on through Entra ID and Okta with SCIM provisioning, and publishes a REST API with webhooks. The company pitches the platform as a replacement for conventional contract lifecycle management (CLM) systems and offers a CLM migration tool. It is operated by Innvo AI Inc., which trades as Chamelio.
Checkbox is a legal intake and workflow platform for in house legal teams, built as a single front door for legal work. It captures requests from email, Slack, Microsoft Teams, Jira, Salesforce and web forms, then sorts and routes them by matter type, expertise, team capacity and business unit. Matters are managed in one place with linked documents, emails, tasks, approvals and conversations. Dashboards show demand, cycle times and workload, so the team can report on itself with numbers. Workflow automation, built without code, handles repeat work such as NDAs, contract steps, policy questions and approvals. Self service tools and an AI legal chatbot let the business resolve routine questions without a lawyer. Checkbox AI applies generative AI across intake and workflows, and the platform integrates with Ironclad, messaging tools and CRM systems. Checkbox Technology Pty Ltd is based in Sydney, with a US affiliate, Checkbox Software, Inc. It holds SOC 2 Type II and ISO/IEC 27001:2022 and publishes its agreements and subprocessors, including its AI provider. Customers include SAP, Coca-Cola Europacific Partners, Analog Devices, Hitachi Digital, Air New Zealand and Woolworths Group.
CiteRight is a litigation drafting and citation platform from Jurisage Group Inc of Ontario, used through a Microsoft Word add in and a browser extension for Chrome and Edge. Litigators save cases and legislation while researching, including legislation from CanLII, then insert citations and generate books and tables of authorities in Word. CiteSense, added in June 2025, recognizes plain text citations and matches them to cases in the user's library or Jurisage's database. AI Insights, included for subscribers since June 2024, generates case summaries in ten categories from a proprietary set of Canadian case law, through preset prompts rather than a chat interface. Law firms shown on the site include Gowlings, Torys, Aird and Berlis, Bennett Jones and Lenczner Slaght. CiteRight and Jurisage combined in September 2023, and the same company offers a TOA Builder for United States courts on jurisage.com. Clio announced its acquisition of Jurisage on 10 June 2026, and CiteRight's site continues under its own name with a banner saying it is joining Clio. The Teams plan is listed at $99 per user per month, billed annually, with the currency not named.
ClaimMaster is a Microsoft Word add in for patent attorneys, agents and paralegals. It proofreads claims, specifications and office action responses, drafts application sections, figures and flowcharts, generates office action shells and USPTO forms, and downloads USPTO and EPO data. The +Drafting and +Shells add ons connect it to models from OpenAI, Azure OpenAI and Anthropic, or to local models through Ollama. They draft and rewrite text, describe figures and analyze office actions. The add in runs on the user's Windows computer and sends document text to a model only on the user's command, straight to the provider. Seats cost from $20 per user per month on annual billing, up to $75 for Pro with drafting and shells, with a 30 day trial. ClaimMaster Software LLC, a small independent company under Maryland law, released version 2026.5 in October 2026.
Claren is an AI contract assistant for in house legal teams. It does three things to an incoming agreement: redlines it, pulls out the key terms, and answers questions about it. Documents come back marked up in seconds, with risks flagged and wording edited to the position the team has set, and answers cite back into the document. It works inside Slack and Teams and handles contracts across several languages and jurisdictions. The terms of service say the product is not a substitute for licensed counsel, creates no attorney client relationship, and requires all outputs to be reviewed by qualified legal counsel before reliance. Claren names its model providers as OpenAI, Anthropic and Google, says it has zero data retention agreements in place, and its terms state that customer data is not used to train AI models. Data is hosted in United States, United Kingdom or European Union data centers, with regional residency for enterprise customers. The company is ClarenAI Company, incorporated in Delaware with a United Kingdom subsidiary and offices in London. It was founded in August 2024 as WilsonAI by Gus Neate, formerly a lawyer at Clifford Chance, and Alex Wang, previously of D. E. Shaw.
Clarilis automates the drafting of whole suites of transactional documents, not single templates. A lawyer answers one dynamic questionnaire and the platform returns a complete first draft in Word, with every ancillary document the matter needs, in the firm's house style. The questionnaires are rules based, and the automation behind them is built and maintained for the customer by Clarilis' own professional support lawyers, so the firm has no templates to set up. Coverage includes commercial real estate in England and Wales and in Scotland, corporate work such as share purchase agreements and investments, banking and finance, wills and estate planning, and engagement letters. Automated suites also exist for Ireland, the United States and Canada. AI Draft is the generative layer on top. Where the automation takes a draft roughly ninety percent of the way, AI Draft writes the remaining deal specific content, such as definitions, clauses, schedules and covering letters. It cannot alter the rules based drafting, and every clause it produces is highlighted in the delivered document under a notice that AI content needs review. Firms that do not permit generative AI can switch it off.
Clearbrief is a citation and fact checking layer for legal writing, delivered as a Microsoft Word add-in. It is aimed at litigators, in house teams, courts, arbitrators and government agencies working on documents heavy with facts. It finds every citation in a document, to both facts and law, scores how well each sentence is supported by the page it cites, and flags missing sources, formatting errors and weak support. The Cite Check Report is a downloadable audit trail of citation review for each document, with links to each flagged item for the signing attorney. The checking function uses classic machine learning and natural language processing rather than generative models, so the checker itself cannot hallucinate; separate generative features handle drafting. Cited authority is displayed through LexisNexis, which requires a subscription, and Fastcase and vLex, which do not, and Westlaw citations are mapped to those databases. Filings can be shared as linked documents that a judge or client can open without a Clearbrief subscription. An enterprise Bring Your Own Storage option keeps uploaded documents in the customer's own cloud. The company was founded by Jacqueline Schafer, a former assistant attorney general.
Clio is a legal practice platform for firms of every size. Clio Manage handles matters, calendars, documents, time, billing and trust accounting. Clio Grow covers intake and client development, Clio Draft handles document automation and court forms, and Clio Work is the AI workspace for analysis, research and drafting. Clio's AI reads both the firm's own matters, clients, filings, messages and financial data and the law itself, through the vLex library of more than a billion legal documents from over a hundred countries. Clio bought vLex in June 2025. Output is described as citing its sources, and the firm reviews and approves anything before it reaches a client or court. The platform runs in regional versions for the United States, Canada, the United Kingdom, Ireland and Australia, with AI processing in the customer's own region, and publishes a subprocessor list naming the AI providers behind each product. Clio is operated by Themis Solutions Inc., a British Columbia company. It says more than 400,000 legal professionals use it in 130+ countries, and it partners with over a hundred bar associations, including all fifty US states.
Cloud Court makes Gibson, testimony intelligence software that turns deposition and trial transcripts into searchable, analyzable data for litigation teams. Gibson takes transcripts from one case or many, extracts topics and the question and answer pairs on each one, and indexes testimony by witness, witness type, alignment and deposition. It also measures the record itself, such as who objected and how often, how long answers ran and what adverse counsel asked in earlier depositions. Gibson ships with standard reports and visualizations, which Cloud Court's team can customize. Litigators use it to prepare witnesses, anticipate opposing counsel, find contradictions with past testimony, draft motions and share findings with aligned parties. Buyers include law firms in mass tort, antitrust and multidistrict litigation, corporate legal departments facing serial plaintiffs, government agencies and insurers reviewing examinations under oath. Gibson is hosted software on Microsoft's United States data centers, covered by a SOC 2 Type II report, and pricing is set in a consultation. Founded in 2017 by litigators and in house counsel, Cloud Court, Inc. is based in Minneapolis and led by CEO Michael Okerlund, a former litigator and general counsel. Elevate has partnered with it since 2024.
CloudLex is case management software built only for plaintiff personal injury firms in the United States, covering a case from intake to settlement. Its AI, Lexee, captures leads by voice and chat, drafts demand packages, turns medical records into treatment chronologies and answers questions about a matter's documents. Human review is a named step: an attorney or paralegal approves AI output before use, and the agreement requires it. CloudLex also sells paralegal services, such as medical record retrieval and a bilingual call center, delivered inside the same system. It is hosted on Microsoft Azure and sold only to subscribers based in the United States.
CobbleStone Software sells Contract Insight, a contract lifecycle management platform in the market since the mid 1990s, with a proprietary AI layer called VISDOM. The platform includes a searchable contract repository with version control, template and clause authoring, workflow automation with alerts and escalation, key date notices, reporting, IntelliSign electronic signatures, and separately licensed modules for vendor management, procurement, sourcing, purchase orders, requisitions, document assembly and OFAC screening. VISDOM extracts metadata and clauses, runs OCR on older documents, checks drafts against a customer playbook, proposes language from an approved clause library, tracks obligations, scores risk and tone, and answers questions through VISDOM Assist. The generative tier, VISDOM+, drafts and summarizes clauses using OpenAI models alongside the vendor's own; the agreement names the provider and requires notice before changing it. It works in the platform's browser editor and in Word and Outlook add-ins. Contract Insight is sold hosted on Google Cloud Platform or installed on the customer's own Windows and SQL Server infrastructure. Customers lean toward government, healthcare, education, pharmaceuticals and utilities, including El Paso County and SUNY Upstate Medical University. The contracting entity is CobbleStone Systems Corp. of Princeton, New Jersey.
CoCounsel Legal is Thomson Reuters' flagship legal AI product, grounded in Westlaw and Practical Law content. It descends from Casetext, which Thomson Reuters acquired in 2023 and no longer sells under its own name. A new release reached general availability in August 2026, rebuilt as an agentic experience on Anthropic's Claude Agent SDK: a lawyer describes a matter in plain language and the system plans, researches, reasons and drafts with citations. It sits inside a wider CoCounsel family alongside CoCounsel Essentials, CoCounsel Tax and CoCounsel Audit, and is sold in tiers bundled with Westlaw and Practical Law rather than on its own.
Codes Health retrieves and reviews medical records for plaintiff personal injury and mass tort firms. A firm submits a client's treatment history and Codes Health takes it from there. It validates the authorization, locates the care sites, submits to each provider in that facility's required format and follows up daily until the records arrive. Retrieval runs on an agentic system that combines automated work with human intervention, drawing on electronic claims networks, custodian integrations and its own provider network. It states coverage in all fifty states and an average turnaround of one to two weeks, with request status shown in real time. The platform produces medical chronologies, encounter and bill summaries, and extracted case insights covering diagnoses, breaches in care and future expenses. AI insights are stated to be verified by humans before delivery. A missing record detection feature flags gaps in the treatment history before a demand package is finalized. Firms work in a web application with single sign on, role based permissions and an audit trail. Codes Health publishes an exclusive partnership with Filevine that puts requesting, receiving and reviewing records inside Filevine. Pricing is a flat fee quoted on inquiry, with follow ups and AI chronologies included.
Coheso is an AI legal front door and work management platform from Coheso, Inc. of New York, sold to in house legal and compliance teams. Requests from the business arrive through Slack, Microsoft Teams, Gmail, Outlook or intake forms. The platform captures their context, uses AI to triage and route them, and tracks each one on shared boards through to resolution, with dashboards on volume, turnaround and the share resolved by AI. Its AI Assist answers business users' questions from a knowledge base the legal team curates, citing the source passages. Sensitive topics go through legal validation under response rules the legal team sets. Agents built on the team's own playbooks take on recurring reviews, first drafts and follow ups, and standard agreements are generated from the team's templates. Language model features run on OpenAI GPT models through the Azure OpenAI Service, customer documents are stored on Amazon Web Services, and data residency is offered in the US, EU and UAE. Named customers include Taskrabbit, M42 and Narvar.
Colibri Legal is the deposition and court reporting product of Colibri.ai, the trading name of Alterra.ai, Inc., whose flagship is Sales Copilot and which also sells an AI note taker. Attorneys and paralegals start recording any remote proceeding with a click, including one run by the other side, since the app captures audio and video from the user's own computer. A real time transcript follows in a Zoom side panel with speakers identified, or in the web app, and can be streamed as live captions to colleagues who are not in the deposition. Users highlight moments, add short notes and preload deposition questions, which Colibri displays and marks off as they are asked. AI rough drafts are ready at once. Professional legal transcriptionists produce certified final transcripts within 24 hours when ordered, whether months later or never, and a certified deposition reporter can be booked through a national court reporting firm. Transcripts sit in a cloud library with full text lookup by participant, case name, case number or any spoken word, synchronized with the audio and video. The legal product is sold by monthly subscription, with finals charged per page and reporter appearances extra, all quoted. Colibri is English only.
Compliance Intelligence is a regulatory change and obligation management platform built for United States banking compliance teams. It monitors global regulatory bodies for proposed changes, guidance, speeches and enforcement actions. Each update arrives as a summary with redlined changes against the source text, tagged for relevance so a team can see the likely impact and trigger the reviews the change requires. Underneath sits a library of laws, rules and regulations across the state and federal regulatory perimeter, continuously updated and tagged against a taxonomy built for financial services. Obligation clustering identifies commonality across legal requirements and proposes a single rationalized obligation, linked back to the source regulations with a full audit trail. Applicability analysis draws on Wolters Kluwer's own subject matter experts alongside the models. A compliance risk management module using predictive analytics over proprietary enforcement data is announced as coming soon. The named users are compliance managers, chief compliance officers, legal and compliance decision makers and risk officers. The product launched in the fourth quarter of 2025 and is sold by Wolters Kluwer Financial & Corporate Compliance within the OneSumX portfolio. Wolters Kluwer N.V. is listed on Euronext and headquartered in the Netherlands.
Concord is a contract lifecycle management platform from Concord Worldwide, Inc., first launched in 2014, that covers drafting, negotiation, electronic signature, storage and renewal tracking in one system. Its AI Copilot answers questions about contracts, explains risks and obligations and suggests edits. AI extraction pulls key terms from uploaded agreements with notes explaining how each value was identified, and its Horizon workspace adds an agent builder for automated workflows and AI generated reports. It is designed for legal teams and for the business teams, such as sales, procurement and finance, that handle contracts without legal involvement, with intake forms and templates approved by legal. Concord integrates with Salesforce, HubSpot, Google Drive, Box, Dropbox, DocuSign, Microsoft Word and Zapier, offers a public REST API and MCP connections for ChatGPT and Claude, and names OpenAI and Google among its AI subprocessors. It publishes its pricing: Essentials at $499 a month for five users, Business at $899 and Enterprise at $1,299, billed annually. The company was founded by French entrepreneurs and describes its current headquarters as Austin, Texas, with an office in Paris.
Concorda is an AI platform for litigation teams from Concorda, Inc., founded by former litigators, for IP, plaintiff and commercial litigation practices and legal departments. It drafts complaints, motions, briefs and discovery requests and responses from the full matter record in an interactive drafter that adapts to a firm's style. It keeps facts, parties, exhibits and testimony connected across a matter, builds patent contention charts with a USPTO connection, and searches case law, statutes and local rules across every U.S. court in its own case database, with citations verified. Its published terms bar training on customer content, address privileged material directly and commit to deletion timelines. The Team plan is $350 per user per month, available without a sales call and with a free trial of two weeks; Enterprise is priced for larger teams. Not to be confused with Concord, the contract management company.
Conga CLM is the contract lifecycle management product in Conga's commercial operations suite. It covers contract requests and generation from approved templates and clause libraries, approval workflows, negotiation, electronic signature, a searchable repository, obligation and renewal tracking, and reporting. It comes in two forms, the original application built on Salesforce and a software as a service edition on the Conga Advantage Platform that works alongside any CRM, ERP or procurement system. Authoring happens in Microsoft Word, Google Docs or a browser editor. The AI, AiMe, runs across the whole suite. In contracting it imports third party, legacy and acquired agreements in bulk and turns them into structured data. It compares drafts against a negotiation playbook, flags risky clauses, proposes redlines, summarizes agreements and answers questions about the repository. Generative features run on Microsoft Azure OpenAI. Conga publishes an Artificial Intelligence Addendum, a Data Processing Addendum and a trust center. Named customers include Southwest Airlines, LinkedIn, AXA, Peloton and Cotality. Conga Corporation is based in Broomfield, Colorado.
Consilio is a global eDiscovery and legal data business that sells software and managed services together, built around two platforms. Sightline is an eDiscovery and legal hold product, offered on a self service or full service basis, with modules for eDiscovery, small matters, investigations and legal holds. Aurora sits upstream of review: it unifies a client's legal data in a repository called DataCore, adds early case intelligence and portfolio dashboards, and lets the client choose its review platform, naming Relativity, Everlaw and Sightline. Across both runs a named AI portfolio covering responsiveness review, privilege identification and privilege log drafting, summarization and investigation, with narrative analysis added through the June 2025 acquisition of TrueLaw. Consilio describes its models as built in house and trained on legal material. It delivers them with staff attached: AI Guides who design reviews and validate prompts, and privilege review experts who check generated output. Everything runs on Consilio's own private data centers rather than public cloud. Buyers are multinational law firms, corporations and government organizations. Consilio LLC is privately held and private equity backed, formed by combining businesses including Advanced Discovery and Legility.
Contract Logix is contract lifecycle management software for legal, procurement, finance and sales teams, covering requests, authoring, negotiation, signature, a central repository and tracking of obligations and renewals. Its AI works on both sides of signature. The Contract Intelligence Engine reads signed contracts and extracts key terms as data, with a published accuracy of about 95 percent on standard fields, rising to about 99 percent with human review. Contract Logix Review gives first pass redlines against a company's own standards inside Word or Google Docs. The company reports more than 60,000 users. Contract Logix, LLC is based in Lowell, Massachusetts, and was acquired by LegalSifter on 22 October 2024. It still sells under its own name, with its own agreement.
ContractHero is contract management software for mid sized and larger companies in Germany, Austria and Switzerland, made by ContractHero GmbH, founded in Berlin in 2020. Contracts uploaded to its repository are read by AI, which fills fields for parties, values, clauses and deadlines and links every value back to the passage it came from. A person confirms each field before it counts as verified. An assistant answers questions about the open contract from that contract alone, and an MCP connector gives Claude, ChatGPT, Copilot and Gemini read only access that follows each user's permissions. Around that sit deadline tracking with a calculated last possible notice date, approval rules, templates and versioning, a Word add in, eIDAS signatures, multi entity groups and a REST API. Legal departments are one of its named users, beside finance, procurement and management. Data is stored and processed in Frankfurt on AWS, the terms bar the language model providers from training on customer content, and ContractHero holds an ISO 27001 certificate from Proks Certification. Named customers include NUMA Group, Schüttflix, Eurowings and ZDF. Plans are quoted on request, and the help center gives Essential from €390 a month, billed yearly.
ContractSafe is contract management software built around a searchable repository and renewal tracking, sold as a simple and affordable alternative to larger CLM systems. It stores contracts with tags, custom fields and reminders, and adds approvals, redlining, editing in Microsoft Word, eSignature, templates and intake forms on its higher plans. The AI extracts key terms and dates for a person to accept, answers plain English searches and questions about a contract, and reviews incoming contracts against a playbook of the customer's own rules, linking each failed rule to the clause and suggesting wording. ContractSafe says the AI suggests and a person decides, and that customer contracts are not used to train AI models. Prices are published: plans start at $450, $660 and $815 a month, prepaid annually, rising with the number of active contracts, with unlimited users and no implementation charge. Data can be hosted in the United States, Canada, the European Union or Australia, and a SOC 2 Type II report is downloadable from its trust center after an instant NDA. ContractSafe says more than 1,900 organizations use it, including the City of Olympia, and sells to education, healthcare, nonprofits, government and small businesses. ContractSafe LLC is based in Malibu, California, and was founded by Randy Bishop and Ken Button.
ContractWorks is a contract repository for teams that need simple contract management, sold by Onit. Users drag and drop contracts into folders, and AI tags each one with details such as agreement type, parties, effective date, renewal terms and notice windows. AI search, OCR, a smart outline of section headings, highlights, custom tags and scheduled reports help teams find terms and track dates, and alerts warn of renewals and deadlines. Electronic signature is built in. ContractWorks Premium adds drafting from templates with conditional logic, a clause library, redlining in a Word compatible editor, approval workflows and an AI clause creator, and runs on Onit's AXDRAFT platform. Every plan includes unlimited users. Published plans set document limits and signature licenses, from 2,500 documents and five licenses on Standard, but the plan prices are not shown; extra signature licenses cost $1,200 a year for five. ContractWorks runs on Amazon Web Services, hosted in the United States or Ireland, holds a SOC 2 Type 2 report, and says it has no backend access to customer data. Onit's services agreement, data processing addendum and subprocessor list govern it. Case studies name Walmart Canada, BNP Paribas, Slack, Sandoz and Carlsberg, and Onit offers a 14 day free trial.
Corlytics sells a regulatory intelligence platform to banks, insurers, asset managers, payments firms and regulators. It collects regulatory notices, rules, guidance and enforcement actions from regulators worldwide, about 30 million pages a year, and uses machine learning to classify, summarize and map them against its own regulatory taxonomy. The Regulation Library holds laws and rules broken down to obligation level, with a version manager that shows each rule beside its previous version. Compliance teams use the platform across the regulatory lifecycle. Obligations Management extracts obligations from the text, filters them to the firm's activities and jurisdictions, maps them to policies and controls, and flags gaps with suggested fixes for the firm's own experts to validate. Change management, controls mapping, compliance monitoring, regulatory risk analytics and a nonfinancial risk module share the same data model, and policy management came with the 2023 purchase of Clausematch. Regulators use a separate edition to turn their handbooks into searchable digital rulebooks, as the FCA has done since 2017. Corlytics Limited is an Irish company founded in 2013 by John Byrne, led by Lisa Miles-Heal as chief executive since June 2026. It is wholly owned by Green Horizon BidCo Limited after Verdane's majority investment in 2024, with group companies in England, Portugal and the United States. Clients shown on its site include the FCA, FINRA, ING, Swiss Re and Natixis. It holds ISO/IEC 27001, a SOC 2 Type 1 report and ISO/IEC 42001 certification.
Corsearch is a trademark and brand protection provider combining AI technology with expert services. Its trademark platform, TrademarkNow, was relaunched in May 2024 with AI similarity analysis that evaluates phonetic, semantic and visual similarity across global trademark data, for screening, clearance, watch and portfolio management. Named tools include ExaMatch for preliminary screening, NameCheck for rapid risk assessment, LogoCheck for clearing logos through image recognition, Name Generator, and Portfolio Analyzer. Industrial Design Search is a separate image recognition engine for designs, and Corsearch Pharma combines trademark and regulatory checks for drug name clearance. Coverage is stated across 190 global registries and more than 1,100 screening databases. Watch comes as Automated Watch, using AI for monitoring at portfolio scale, or Expert Watch, with analyst strategies for complex matters. Brand Protection covers counterfeit removal, online channel cleanup, seller identification, gray market disruption, an AI that blocks noncompliant listings before publication, and content and piracy protection. The company claims clearance timelines reduced by up to 40 percent and watch review time cut by 50 to 70 percent. Simon Baggs is Executive Chairman. Pricing is not published.
CORTO is an AI workspace for law firms from CORTO Pty Ltd in Sydney, which also runs a US company, CORTO AI Inc., and an office in San Francisco. A firm connects OneDrive, Dropbox or Google Drive, and its folders become a matter list. Inside each matter, CORTO Chat answers questions about the whole matter, one document or a folder, with clickable references to the files behind each answer. The Prompt Library drafts letters, briefs and contracts from matter details, filtered by state and matter type, and the AI Form Filler completes fillable PDF and Word forms from the matter's documents. AI also fills in matter details, builds a contact list from names in the files, and drafts Fact Pages that tie supporting facts to each legal issue. A Word add in brings chat and prompts into Microsoft Word, and a LawY button opens legal research with optional verification by a practicing lawyer. The same company builds Matter AI, a plug in for an outside practice management system, and Acctivity.ai for legal bookkeeping. Data sits on AWS in Oregon, models come from OpenAI and Anthropic, and no price is published.
CosmoLex is a cloud practice management platform for small and midsize law firms, with accounting built in. Alongside matter management, calendaring, tasks, document management, time capture, billing and a client portal, it carries full trust and general accounting. A firm can reconcile its IOLTA account, run its general ledger and produce tax reporting in the same system that holds its matters, without a separate QuickBooks or Xero file. Three way reconciliation and trust rules are treated as core concerns. AI features were added in August 2026: AI Intake, which captures client inquiries and moves them through intake, with an AI intake form builder; document summarization, which pulls key terms, obligations, deadlines and action items from uploaded documents; and natural language filtering of the firm's own data. CosmoLex says AI processing happens inside the customer's own CosmoLex environment, documents are never used to train external models, and AI outputs are limited to a single matter to preserve attorney client privilege. Integrations cover Microsoft 365 and Outlook, QuickBooks Online, NetDocuments, Dropbox, Box, OneDrive, Google Drive and Zapier. CosmoLex is a ProfitSolv brand based in West Palm Beach, Florida, with a separate Canadian offering.
Counsel Stack is a deep legal research platform for US law firms, built on what the vendor calls a fleet of specialized research language models for particular practices and jurisdictions, with an emphasis on structured citation verification. It synthesizes federal, state and local doctrine and positions itself for highly technical, boutique, cross jurisdictional and multi doctrine questions. It automatically saves research, conversations, sources, proof of citation verification and time entries. Access is limited to US licensed attorneys, verified at signup, with no credit card required and API access on request. Founded in 2023, it placed first among all participants in the 2025 Vals Legal AI Report legal research study. The company also runs separate legal marketing, lead generation and web design businesses; only the research product is covered here.
CounselLink+ is an enterprise legal management platform for corporate legal and claims departments. It combines electronic billing and legal spend management, matter management, outside counsel management and, since the integration of the acquired Parley Pro product, contract lifecycle management. Its AI runs automated invoice review and billing anomaly detection, optional extraction of dates, notice periods, clause types and fact types from signed contracts, and spend analytics and forecasting. LexisNexis Protégé, the embedded assistant, produces matter and invoice summaries with suggested action items, and a Microsoft Word add in lets users work on contracts inside Word. Benchmarks draw on what the vendor describes as more than seventy five billion dollars of legal spend data. The product is owned by LexisNexis, a division of RELX Inc., and links to Lexis+ AI, Practical Guidance and Lex Machina for their subscribers. The published website terms address attorney client privilege, commit to notice of compelled disclosure and state that data is processed in the United States; a signed subscription agreement governs instead where one exists. The product page states ISO 27001 aligned procedures and annual SOC 2 Type 2 audits, and pricing is by quotation.
CounselPro is forensic financial analysis software from CounselPro, Inc. of New York for family law, bankruptcy, probate, estate and business litigation lawyers, mediators, trustees and accountants. It reads a production of bank, credit card and check statements, extracts and categorizes every transaction, and reconciles each statement cycle to the balances the bank printed. Pages that do not balance are read again, and missing months, duplicate statements and figures the records cannot support are flagged. Its Daystrom AI answers questions in plain English with the arithmetic shown and every figure linked to its page, and it drafts an editable forensic report shaped to the matter type. Brokerage and tax documents are planned for late 2026. Pricing is published: $499 per matter, or plans for the whole firm from $100 a month, with no charges per seat.
Covalynt, formerly ClaimScore, is a data science platform for class actions, mass torts and mass arbitrations operated by ClaimScore LLC. Its original product, ClaimScore, scores every settlement claim for fraud. Each claim starts at 1,000 points and loses points on more than 65 weighted criteria covering bots, synthetic identities, duplicates, account takeovers and solicitation schemes, with deduction codes explaining each loss and claims below 700 marked as rejected. It works in real time through an API connected to an administrator's claim form, or on bulk files after the claims period. The company rebranded as Covalynt in December 2025 and added ClassResolution, which reconciles defendant records into class member data ready for audit and certification, DeepValidation, which validates and enriches class contact data for notice, and bespoke data engineering. It serves settlement administrators, class counsel, defense counsel and courts, and lists work on matters including cases against Apple, Google, Meta, Oracle and Visa and the Ozempic and Depo-Provera mass torts. Covalynt says it owns its data and builds its own models, holds a SOC 2 Type II report, and does not publish pricing.
Credo AI, based in Los Altos, California, sells an AI governance platform that inventories the AI an organization runs and checks it against regulatory obligations. Its modules cover an AI registry with agent cards and shadow AI discovery, and risk intelligence with a risk and control library, risk scoring, automated red teaming and drift detection. A compliance and policy engine carries prebuilt policy packs for the EU AI Act, the NIST AI Risk Management Framework, ISO 42001 and SOC 2. Production monitoring evaluates agent traces and escalates high risk actions to a person. Its own generative layer is GAIA, a set of governance agents that register systems, retrieve evidence, assess risk, draft governance plans and run remediation, with human oversight kept for critical decisions. A governance knowledge graph links regulations, business context and system configuration so that controls differ by jurisdiction and sector. The platform integrates with cloud and MLOps environments, agent frameworks and GRC systems, and is sold in modules through order forms with no published price. The terms of use commit Credo.AI Corp. not to use customer data to train AI models. Named customers include Mastercard, Principal and AdeptID, and the company states a SOC 2 Type II examination.
CUBE is a regulatory intelligence company for financial institutions and other regulated businesses, based in London. It sells four products. RegPlatform is an enterprise compliance and risk platform that turns regulatory change into obligations, maps them to controls and keeps an audit trail, with AI agents CUBE calls coworkers for triage, research, control quality and enforcement analysis. Intel pairs AI with expert review for growing regulated businesses, Oden generates state by state notices and guidance for American insurers, and Powered By licenses CUBE's regulatory content to other platforms through APIs. CUBE captures regulatory publications from more than 10,000 issuing bodies in 250 countries and territories and 100 languages, which it counts as 750 jurisdictions, and processes about 10 million data points a year with 250 regulatory experts. The company has around 1,000 people in 10 offices. Since a strategic partnership with Hg in 2024 it has bought RegRoom, the Thomson Reuters Regulatory Intelligence and Oden businesses, Acin, Kodex AI and 4CRisk.ai, and in September 2026 IBM embedded CUBE's intelligence in watsonx.governance.
Cypris is an R&D and IP intelligence platform sold by IP Web, Inc. of New York City. It unifies patent and scientific data: 198 million patent documents from over 150 countries, 341 million research papers from 274,000 journals and repositories, 125 million indexed chemical compounds with structure search, and market and regulatory sources, connected by a proprietary ontology. AI agents cover technology scouting, literature review, competitive intelligence, prior art, regulatory research and white space analysis, retain project context and can be configured to a team's own methods. The Knowledge Management product lets a company search its internal documents alongside the external data. Research Briefs are written by the vendor's own analysts, with each subscription including a set number of reports and briefs a month. Integrated Intelligence exposes the data to a customer's own Copilot, Claude or ChatGPT through an MCP server and API. Models come from OpenAI, Anthropic and Google and are metered as AI credits. Buyers are corporate R&D and IP teams, among them Johnson & Johnson, Yamaha, Oerlikon, NASA and Los Alamos National Laboratory.
Darrow works upstream of litigation. It ingests signals from regulatory filings, incident reports, litigation patterns and market activity and turns them into structured legal intelligence about where exposure is forming. The company describes itself as an AI lab built around a knowledge base that connects the laws creating obligations, the organizational weaknesses that emerge when they are not met, and the enforcement actions that follow. Agentic systems reason across that intelligence to identify and prioritize emerging opportunities. It sells to three segments: plaintiff and class action firms looking to identify litigation earlier, insurers pricing litigation exposure, and corporate compliance teams monitoring their own external digital footprint. Published figures include more than 22 billion dollars in legal exposure surfaced, more than 5 million signals detected monthly and over 10,000 active matters. Roughly thirty customer firms are shown by name, including Baron and Budd, Milberg, Nichols Kaster and Loevy and Loevy. Access is through a portal on an annual subscription. The terms of use name Anthropic and OpenAI as the AI service providers and grant Darrow an irrevocable perpetual license over customer data that expressly includes training foundation models. Darrow AI Inc. is a Delaware corporation based in New York.
DataGrail is a privacy management platform that runs the statutory data protection program for an in house legal, privacy or security team. Its Live Data Map connects to a customer's systems and keeps a live inventory of where personal data sits, which then feeds the records of processing activities. Request Manager automates data subject requests across connected applications. Consent Management runs consent banners that adapt to the regulations applying to each visitor, Privacy Assessments produces PIAs, DPIAs, AI risk assessments and transfer impact assessments, and a Risk Register tracks the issues found. Across all of it sits Vera, a named AI agent that suggests consent rules and applies them once the user approves, autofills assessments from the platform's own data, flags risks and answers questions. Coverage is organized by regulation, with pages for the EU GDPR, the CCPA, the California Delete Act, the Colorado Privacy Act and the Virginia CDPA, and the platform is sold to both legal and security teams. More than two thousand integrations underpin the automation. DataGrail, Inc. is a Delaware corporation based in San Francisco, founded in 2018, and states that it processes and stores data within the United States.
DataGuard is a European security and compliance platform that runs an organization's privacy program and information security management system in one place. The privacy side covers records of processing, data subject requests, data protection impact assessments, incident and breach management, third party risk, consent and cookie management, and whistleblowing intake. The security side carries a policy and control library, asset inventory, vendor management, risk management and employee training, with templates and guided workflows aimed at certification. Supported frameworks are GDPR and UK GDPR, ISO 27001, NIS2, TISAX and the EU AI Act, and several can run together across multiple entities. AI is a layer rather than the product: an AI Co-pilot, help with processing inbound security questionnaires, and automation the company says removes up to forty percent of manual work. Software and people are sold together. Base is the platform alone, Pro adds access to DataGuard's certified consultants, and add ons let a customer appoint DataGuard as its external Data Protection Officer or Information Security Officer. Every tier is quoted rather than priced. DataCo GmbH trades as DataGuard, is based in Munich and was founded in 2018.
Dazychain is matter management software for small to medium in house legal departments, made by Yarris Technologies of Melbourne, with an office in Boston. Requests arrive through an intake form or by email and become matters automatically, with the right lawyer assigned, and move through configurable workflows with tasks, due dates, approvals and reminders. Around that sit document and contract management with Word editing, an internal client portal, an external portal for law firms, spend and budget tracking with invoice review, and dashboards. DazychainAI runs only when a user clicks a function, works only inside the matter or document it was engaged on, and can be switched off for an account. It summarizes matters and documents, finds information in them, answers questions over documents and compares an incoming contract with a corporate playbook. All AI runs on Amazon Bedrock in Australia or the United States, and Dazychain states that inputs and outputs are not stored and that customer information is not used to train external models. Three plans are priced per user per month, with a 14 day trial. Dazychain states ISO 27001 and SOC 2, with data hosted in Australia and the United States.
DecoverAI is an ediscovery platform that takes a document set from upload to court ready production. It classifies documents for responsiveness, privilege and confidentiality, finds and burns in redactions without altering originals, generates a privilege log as a spreadsheet, applies Bates numbering to a firm's conventions, and keeps an audit trail meant to stand up in a regulatory production. It also offers a chronology viewer that rebuilds timelines across custodians and evidence analysis for key facts, aimed at early case assessment, internal investigations and trial preparation as well as discovery. Every classification can be reviewed and every redaction overridden, and the agreement requires a licensed attorney to verify AI output before relying on it. Pricing is published at 60 US dollars per gigabyte per month with no seat fees or minimum commitment, with a cost estimator on the site. The platform runs on AWS in the United States, with single tenant and private VPC options, including deployment inside the customer's own VPC, and a dated subprocessor list names every AI provider used and what each does. The terms prohibit training on customer data without prior written consent, say nothing in the agreement waives privilege, and name the ABA Model Rules on competence and confidentiality. DecoverHQ, Inc. is based in San Mateo, California.
DeepIP is an AI patent platform that runs inside Microsoft Word, built for law firms and in house patent teams. It drafts complete applications from invention disclosures in a firm's own style, generates patent drawings, reviews claims for antecedent basis and section 101 risk, and drafts office action responses with case law citations. Patentability, prior art, freedom to operate and invalidity modules work across more than 120 million patents and non patent literature. DeepIP runs an OpenAI model on Microsoft Azure alongside proprietary models, with SaaS or on premises deployment and customer data kept in the territories a customer selects. Its April 2026 terms bar training on customer data and carry an indemnity, warranties and insurance, and its trust center holds SOC 2 Type 2, ISO 27001 and ISO 42001 reports. Founded in New York and Paris by François-Xavier Leduc and Edouard d'Archimbaud, it has raised $40 million and reports more than 500 law firms and in house teams as customers.
DeepJudge is an AI search and workflow platform that helps a law firm find and use what it already knows. It indexes a firm's documents where they sit, across the document management system, email, SharePoint, OneDrive, HighQ, intranets and experience systems, without moving them. Search works by intent. It sorts documents into a taxonomy, spots near duplicates and redlines, and links information on clients, matters, documents and people. A lawyer can ask whether opposing counsel ever conceded a point in an earlier negotiation, or build a timeline of a matter. Access permissions sync continuously from the source systems, so existing ethical walls carry over, and the firm controls what is indexed. A workflow builder lets the firm assemble AI agents that pull from several sources and act, using whichever commercial or open source models it chooses. DeepJudge can run in its cloud, the firm's cloud or fully on premises, with a hybrid option where only model processing leaves the firm. Its published terms say customer data is not used to train the models. Named customers include Freshfields, Greenberg Traurig, Holland & Knight, Gunderson Dettmer, Cozen O'Connor, Homburger and Lenz & Staehelin. DeepJudge AG of Zurich was founded by former Google Brain researchers with AI doctorates from ETH Zurich.
Definely is a suite built natively in Microsoft Word for drafting, navigating and reviewing complex, high value contracts, aimed at large law firms and corporate legal departments doing transactional work. It has five products. Read navigates definitions, cross references and linked documents without leaving the provision, and Proof runs automated proofreading across hundreds of checks. Vault indexes clauses and searches precedent in a connected document management system, and Enhance provides AI contract analysis and redline suggestions. Cascade, launched in August 2025, detects the first, second and third order knock on effects of a change across related contracts. Definely integrates with iManage and NetDocuments and ships an official Model Context Protocol connector in the Anthropic Claude marketplace that exposes its deterministic checks as tools. The company, Defeyene Legal Solutions Limited, was founded in London in 2017 with an accessibility first mission, one of its co founders being registered blind. Its first product launched in September 2020.
Octimine is a semantic patent search, analytics and monitoring platform sold by Dennemeyer, the intellectual property services group, to patent law firms, corporate IP and R&D teams, universities and patent offices. A user enters a description, an abstract or publication numbers, and machine learning models return the most similar documents from a database of more than 120 million patents in seconds, combinable with Boolean queries and filters. Octi, an assistant on advanced language models, summarizes, compares and answers questions about patents in plain language. Monitoring profiles follow technical domains and competitors with alerts on legal status changes and new publications. A shared workspace supports highlighting, comments, tags, ratings and visibility controls, more than twenty patent indicators drive analytics, and an API embeds the search in a customer's own systems. Octimine was founded in Munich in 2015 by researchers from LMU Munich and the Max Planck Institute and was acquired by the Dennemeyer Group on 5 November 2018. The search servers are stated to be in a data center in Germany. Customers named at acquisition included Siemens, Deutsche Post, Harvard University and the Swiss Federal Institute of Intellectual Property.
Depositions by Filevine is a remote deposition service and platform for attorneys, insurance carriers and court reporting firms, formerly sold as Parrot and now part of Filevine. It is still sold on its own Parrot website under the terms of Parrot Tech, Inc. A firm books a deposition or examination under oath online and gets a Zoom link at once, and a vetted digital reporter attends every proceeding. The platform delivers an AI transcript draft within 90 minutes, synced to the audio and video, and generates summaries in narrative, page and line, or custom topic form, each linked back to the transcript. Users cut clips, annotate, tag findings and look things up across all their transcripts by meaning, including transcripts taken elsewhere. Exhibits are managed through a Zoom app. Deposition Summaries by Filevine is also sold on its own as an upload service and through an API, and Medchron by Filevine summarizes medical records. Each proceeding is priced as one line item. Filevine sells separate deposition tools, including Depo CoPilot, inside its own case management platform.
Derwent Patent Monitor is Clarivate's collaborative patent review platform for freedom to operate, patentability, opposition and monitoring work. It launched in November 2025 as a product separate from Derwent Patent Search. Patent alerts from Derwent Innovation and Innography flow into review projects, where patent analysts, attorneys and technical reviewers work from feeds set by role. They assign documents, comment on patent text, carry annotations across related families and projects, and start actions such as opposing, monitoring or acquiring a patent, with a full activity history. Its AI feature, Threat Analysis, ranks the documents in a review by risk and explains each ranking by mapping product features to specific claims. That lets reviewers clear irrelevant documents faster and look first at the patents most likely to block a product. Clarivate says it combines generative AI with more explainable AI. The product is built on the Derwent World Patents Index, Clarivate's own editorially written invention summaries. Clarivate Plc, listed on the New York Stock Exchange and based in London, publishes it.
Derwent Patent Search, formerly Derwent Innovation, is Clarivate's patent research platform for prior art, patentability, freedom to operate and invalidity searches. Its core asset is the Derwent World Patents Index, where human editors rewrite patent disclosures as plain summaries of each invention's novelty, use and advantage, for more than 70 million invention families. AI Search, launched in December 2024, takes free text such as an invention disclosure and returns relevant patents, using a model trained on that index. Other AI features fill in missing data, resolve current ownership and predict legal status. Clarivate says 40 patent and trademark offices use the platform and its data. Clarivate Plc is listed on the New York Stock Exchange and based in London.
Descrybe is a US primary law research platform built on AI summaries of judicial opinions, now at descrybe.com (descrybe.ai redirects). It was founded in July 2023 by Kara Peterson and Richard DiBona near Boston, is self funded, and began as a free service aimed at opening legal information to smaller firms, journalists and the public. Its coverage page, with data as of 18 July 2026, lists 10,969,112 opinions across 492 federal, state, bankruptcy, specialized, agency and tribal courts and tribunals, plus statutes, regulations, constitutions, session laws and court rules, each court with its own count and date range. Summaries and search work in English and Spanish, with plain language versions. The Descrybe Platform includes DescrybeLM, launched March 2026, a guided legal reasoning engine that clarifies jurisdiction, posture and facts and returns citation backed answers with a table of authorities, along with brief checking, search, citation and quote verification, and the Cytator citator. Descrybe Legal Engine offers citation lookup, quote verification, treatment review and source retrieval to assistants such as Claude, ChatGPT and Perplexity through MCP. Pricing is $25 a month for the Engine and $50 for the full Platform. A security page names OpenAI's API as the main model provider and DigitalOcean's New York region for storage.
DigitalOwl analyzes medical records with AI for both legal and insurance professionals. Datavant acquired it in 2025, and it is still sold under its own name. Its proprietary AI, built in house for these uses, extracts medical data from conventional and electronic health records and turns it into structured chronologies, summaries, timelines and insights. The vendor says it can review a thousand page record in minutes, with typical turnaround inside 24 hours. The platform also surfaces provider and billing details, injury assessments and medical evidence for demand letters and settlements, and offers a chat interface over the records. Products include View for AI medical record summaries; Connect, an API for pulling structured output into other systems; and a Self-Serve portal where attorneys and paralegals upload records and receive chronologies, summaries and demand letter support. Legal coverage spans personal injury, medical malpractice and mass tort. Insurance coverage spans underwriting, claims review, workers compensation, bodily injury and review of settlement demand packages. The vendor claims third party testing at over 98 percent accuracy, states SOC 2 Type II, HIPAA and GDPR compliance, and offers a business associate agreement. Pricing is not published.
DiliTrust sells an integrated suite for in house legal departments and corporate boards, built around five modules. The Board Portal runs the meeting cycle, from agenda and document distribution through votes to minutes. Contract Management covers the contract lifecycle. Entity Management gives one view of legal entities, mandates and delegations of authority. Matter Management tracks disputes and litigation with their risk and cost. The Documentation Library, also sold as a Dataroom, stores documents with access control and audit. Lini, the AI engine, runs across all five and was given its own name in late 2025. It offers a natural language assistant, data extraction from contracts with OCR, document summaries, board minute drafting, audio transcription, a Risk Detector that flags risky clauses against the firm's own rules and suggests alternatives, and QuickView matter snapshots. DiliTrust says its models are built and trained in house on synthetic data, public datasets and its own knowledge base, and run in data centers in the regions where clients operate. Customers can also connect their own language models through its API. DiliTrust SAS is based at Paris La Defense, with offices in nine more countries, and bought the US legal management company doeLEGAL in September 2024.
Discernis is an AI document review platform from Discernis, Inc. of New York, sold to law firms, corporate legal departments and legal service providers for litigation discovery and internal investigations. Its Discovery product takes the guiding questions from a review protocol, written in plain English, and runs the company's own models over every document in a collection. The models assess responsiveness, prioritize what they find and flag likely privileged communications, attaching an explanation to each call. Reviewers validate or override the tags in a side pane with a quality control workflow. Every action is recorded in an audit log, and results export as load files or as a CSV of responsive documents with scores and explanations. Discernis Investigations reads a collection against chosen topics to reconstruct timelines, map parties and flag anomalies. The company builds and hosts its own models and states that no third party AI service is called. The platform runs as Discernis Cloud (on Azure in the US by default), Discernis Private Cloud, or on the customer's own premises, including air gapped environments. Discovery is priced per document, on matter or annual terms.
DISCO is a cloud ediscovery and litigation platform covering hold, ediscovery, review, timelines, deposition management and case building, sold to law firms, corporate legal teams and government. Cecilia AI is the generative layer. Cecilia Q&A answers questions about case evidence with citations, and single document Q&A, document summaries and definitions sit beside it. Auto Review runs first pass review at up to 32,000 documents an hour from tag descriptions the customer writes, alone or with DISCO's AI consulting team, with an explanation for every tagging decision. DISCO bills on processed data at a rate per GB, with unlimited use of Cecilia AI included. Its terms and conditions, AI supplementary terms, data processing addendum and subprocessor list are published. The operator, CS Disco, Inc., is listed on Nasdaq as LAW and reported 1,549 customers, including 330 large customers, at 31 December 2025.
DocJuris is a contract review and negotiation platform for in house legal departments, built around playbooks. A company loads its own positions, fallback language and precedent, and the software screens incoming third party paper against them, returning a Word document with tracked changes and a screening report. There are two review modes: Quick Pass for speed, and Guided Review, which asks the user to confirm each position. Every proposed edit is a tracked change that a lawyer accepts or rejects. Around that core sits a catalog of roughly two dozen task specific applications covering contracts and commercial work, legal operations, compliance, real estate and finance. They include vendor screening, document generation on the customer's own form, outside counsel invoice review, lease abstraction, trademark clearance, security questionnaires and legal research across eight jurisdictions. Where no application fits, the company builds one for a fee and then charges for usage. Each customer gets a single tenant deployment on its own subdomain, with single sign on, permission groups and audit logging. Named customers include Siemens, Flex, Ancestry, Purolator, GEODIS and CMA CGM America. The contracting entity is DocJuris, Inc., of Bellaire, Texas.
Docket Alarm is a litigation intelligence platform built on United States court records. It holds over a billion dockets and documents from every federal court, more than 43 state court systems, the USPTO, the Patent Trial and Appeal Board, the Trademark Trial and Appeal Board, the International Trade Commission and a growing set of international jurisdictions. The core product is search, alerts and retrieval: full text search across dockets and documents, alerts on any case, party, attorney or judge, and direct PACER retrieval with court fees passed through at the government's own rate. Litigation and motion analytics are sold as add-ons, and a developer API returns one normalized JSON structure across jurisdictions. The AI layer has two parts. Talk to the Docket answers a plain English question about a case and links each statement to the docket entry or document behind it, and AI Summaries condense a filing when it is opened. Buyers include litigators, IP counsel, in house and corporate legal teams, law students and developers. Filings one subscriber retrieves enter a shared library open to all subscribers. Pricing is published in full. Docket Alarm, Inc. is the contracting entity; it joined Fastcase in 2018, Fastcase combined with vLex in 2023, and Clio acquired vLex in 2025.
Docketwise is immigration case management software from 8am for immigration law firms, nonprofits and other legal service providers, built around a forms library rather than a case file. A single multilingual questionnaire, sent by email or text, collects a client's details once and fills every matching form in the USCIS, EOIR, DOL and DOS libraries. The vendor updates those forms as agencies revise them. Around the library sit document requests, eSignature, deadline and priority date tracking, automatic USCIS case status updates, a client portal, invoicing, trust accounting and electronic filing with USCIS. A CRM captures leads from the firm's website, Facebook Messenger, WhatsApp and SMS. The AI, DocketWise IQ, comes with the Pro and Advanced plans. Its Document Assistant reads scanned passports and green cards into forms and client profiles, and its Writing Assistant edits client messages and translates them for clients who speak Spanish or Arabic. Docketwise connects to Clio, MyCase, PracticePanther, QuickBooks, LawPay, common storage, email and calendar tools and Zapier, and publishes an open API. Founded in 2016 and based in Austin, Texas, it is owned by 8am, formerly AffiniPay.
Docsum is a New York company selling AI contract software to in house legal teams, with finance, procurement and sales teams as secondary users. Its base is a contract repository that finds and syncs signed agreements from DocuSign, Google Drive, email and other tools, extracts dates, clauses and obligations, groups related documents and entities, and sends alerts. On top of it sit a Microsoft Word add in that reviews and redlines agreements against playbooks generated from the customer's own templates and precedent, an AI chat across the repository, intake agents that take contract review, drafting and legal questions from Slack, Salesforce and email, and an MCP server that lets assistants such as Claude query the repository. Pricing starts at $1,250 a month for up to 2,500 contracts, with AI contract review added per user. The company also sells contract review and negotiation support by its own staff as a separate service.
Doctrine is a Paris legal research and AI platform published by Forseti SAS, used by 27,000 legal professionals across France, Italy, Germany, Spain and Luxembourg. It rests on what the company describes as 80 million interconnected French legal documents. A legal chatbot answers in natural language strictly from that legal corpus, a documents chatbot answers only from files the user supplies, and a company chatbot covers corporate and litigation records, with the vendor stating that the chatbots always cite their sources. Further tools summarize, extract, compare, check conformity and translate. Flow Litigate runs a contentious file with automated classification, chronology and statement of facts, and Flow Counsel analyzes contracts for risk. Doctrine connects to firms' document management systems and runs inside Microsoft Word. Each subscription gives unlimited access to all features across every area of law. RELX completed its acquisition of Doctrine on 3 September 2026, and the company joined LexisNexis. On 7 May 2025 the Paris Court of Appeal held that Forseti had committed unfair competition against five legal publishers through the unlawful collection of court decisions, and Doctrine did not appeal.
Docusign Agreement Manager is the agreement repository in Docusign's Intelligent Agreement Management (IAM) platform. It gathers a company's signed agreements in one place. Its AI pulls out parties, dates, financial terms, renewal and termination terms and governing law, plus custom fields the customer defines. Teams can search agreements, run reports, track renewals and obligations, and control who sees what. Docusign agents can be given tasks that analyze agreements and work across connected tools. The AI is branded Docusign Iris. The product was formerly called Docusign Navigator and is built on technology from Docusign's May 2024 acquisition of Lexion. It is not sold on its own. It comes in selected IAM plans, which Docusign sells to legal, sales, procurement, human resources and customer experience teams. Docusign, Inc. is listed on Nasdaq as DOCU, is based in San Francisco and reports 1.9 million customers.
Docusign CLM is Docusign's contract lifecycle management product for enterprises. It generates contracts from templates and from data in systems such as Salesforce, and draws on a clause library that legal maintains. Routing and approval workflows are built from more than 100 preconfigured steps. Negotiation runs with version control, eSignature handles signing, and contracts sit in a searchable repository with obligation and renewal reporting. AI runs through the product under the Docusign Iris brand. AI-Assisted Review checks agreements against a playbook and suggests redlines, AI extraction pulls data points out of contracts, and generative features summarize agreements and answer questions about them. The product began as SpringCM, a Chicago contract management company that Docusign agreed to buy in July 2018 for about $220 million. It now sits in Docusign's Intelligent Agreement Management (IAM) platform beside Docusign Agreement Manager. Docusign sells it through its sales team to legal, sales, procurement, human resources and customer experience teams, with government editions authorized under FedRAMP, GovRAMP and DoD Impact Level 4. Docusign says 2,200 enterprises use it. Docusign, Inc. is listed on Nasdaq as DOCU and is based in San Francisco.
Dodonai is an AI document processing platform for litigation teams, built around two jobs. It summarizes deposition transcripts with page and line citations, and it turns medical records of any length into structured chronologies of diagnoses, treatments, providers and dates on a timeline. Around those sit transcript management with full text lookup, a chat assistant over the whole transcript, automated Bluebook citations, and OCR for scanned PDFs including tables and handwriting. Extraction agents fill reusable report templates, and semantic ediscovery finds evidence by meaning. Practice material is aimed at personal injury, medical malpractice, mass tort, product liability, workers' compensation and disability benefits work, and the company also sells to court reporters, IME companies and medical record retrieval businesses. Pricing is published and based on usage, starting at $25 a month with no seat fees or feature gates, and a free trial opens with a sign up form. Dodonai states SOC 2 coverage and HIPAA compliance, with isolated workspaces for each client. Its terms treat both submitted documents and output as attorney work product, and its LLM partners, OpenAI among them, may not use customer content to improve their own services. Dodonai, LLC is governed by Florida law, and a separate AI Managed Services arm builds custom agents for firms.
DorothyAI is a patent search and IP analysis platform for patent attorneys and agents and the businesses they advise, published by Three10 Legal, Inc. Activ8 Novelty searches the worldwide patent collection from a plain English description of an invention rather than keywords and Boolean operators; Activ8 Freedom searches the claims of granted patents for a product, its components and combinations of them to assess infringement risk; AskDot is a generative assistant over DorothyAI's global patent database; and Activ8 Alignment pulls prior art together with market, regulatory and court data into a shareable report that can be refreshed on a schedule or on demand. CrossCite prepares primary and supplemental Information Disclosure Statements for patent prosecution. Underneath sits Adaptive Research Technology, the vendor's framework for querying several search models at once and surfacing the results that more than one model agrees on. The platform is sold on a monthly subscription with a free trial; separately, DorothyAI sells People+AI report services staffed by a network it describes as more than 200 advisors.
Draftwise is AI for drafting, reviewing and negotiating contracts inside Microsoft Word, working from a firm's own precedent rather than a generic corpus. It connects to the firm's document management system (DMS) and reads its full deal history, including documents, clauses and tags. From that history it drafts new agreements, interprets incoming redlines and comments, follows version history and edits whole documents. Playbooks are built automatically from existing precedent and guidance, and contract collections are curated in the background once the DMS is connected. For negotiation it shows comparable terms from past deals by client, counterparty or industry, and checks proposed positions against EDGAR filings. The Legal Ontology platform, announced in August 2026, makes positions, fallbacks and counterparty patterns searchable across every deal a firm has done. Draftwise can run in a private cloud on the customer's choice of AWS, Azure or GCP, with the firm's IT holding the encryption keys, in a firm's existing cloud, or on premises. Named customers include Orrick, Gunderson Dettmer, Mishcon de Reya, Katten, McGuireWoods, Womble and Maddocks.
Drafty AI is a case preparation platform for US immigration attorneys from DraftyAI, Inc. of Coral Gables, Florida, founded by immigration attorney Nadine Navarro with engineers Antuan Vazquez and Javier Garcia. Work starts from a client matter. Smart Upload reads the client's documents and fills in case details, and a guided questionnaire or a client intake form covers the rest. The Strategy Outline engine maps evidence to each legal element, builds an evidence matrix and flags deadlines, bars and weak points before drafting begins. One Draft action then routes the matter to the right flow. Petitions and briefs, motions for immigration court, expert letters, declarations and exhibit lists each have one, as do RFE, NOID and NOIR responses in the RFE Studio, asylum, withholding and CAT claims, and I-601A waivers. Drafts come back in sections for review, with case law and statutes gathered in a table of authorities and unmatched citations flagged, and export as Word files. A Translation Studio and a Document Improvement Studio rework existing files. Plans start at $250 a month for one seat and ten matters, with no sales call.
Dragon Legal is speech recognition software for lawyers and legal staff from Nuance Communications, a Microsoft company. It turns dictation into text inside the applications a firm already uses, such as Microsoft Word and Outlook, and transcribes recorded audio files. The editions share one legal engine. Dragon Legal v16, sold as Individual and Group, is installed on Windows 11 or Windows 10 desktops and laptops. Dragon Legal Anywhere is a hosted subscription with a light Windows client, run on Microsoft Azure. It works on virtual desktops and thin clients and syncs a user's custom words and commands with the Dragon Anywhere mobile app. The legal vocabulary was trained on more than 400 million words from legal documents and formats legal citations automatically. Users add their own word lists, voice commands that insert standard clauses, and macros for multistep tasks. A firm shares them through the Nuance Management Center, which also tracks usage and moves licenses between users. Nuance says dictation runs three times faster than typing with up to 99% accuracy from first use, and that its deep learning engine copes with accents and open offices. Buyers range from solo practitioners to large firms and legal departments.
Edge sells AI tools for patent and trademark practitioners. It is operated by Edge Innovations, Inc., founded by Evan Zimmerman and Len Boyette and backed by Y Combinator. Its patent product, renamed Ingenia in April 2026, drafts and edits patent claims and specifications, generates and edits patent figures such as line drawings and flow charts, parses inventor disclosures, and produces forms such as information disclosure statements and ST.26 sequence listings. It supports USPTO and EPO drafting in more than 12 languages, with features for life sciences, chemistry and other technical fields. Certus, launched on 23 April 2026, is an AI agent for trademark work. It writes a search strategy, runs it against a global trademark database, ranks the results by risk, adds evidence such as abandonment and owner information, and drafts a clearance report on the attorney's own template. It also supports application filing. The vendor says it works with outside and in house counsel at firms of all sizes, and its site shows logos including K&L Gates, McCarter English, Taft and Nestle.
eDiscovery AI applies large language models to document review inside a litigation workflow a firm already runs. Its Review suite has two parts. Relevance classifies documents against instructions the reviewer writes in plain language, restates the instruction for each classification, and explains why it categorized the document as it did, replacing the Boolean searches and seed set training that older methods need. Privilege identifies attorneys and names them in a separate field, sets out which elements of privilege are present, and drafts a document summary and privilege reasoning as a log entry that can be used or edited. Three more suites cover early case intelligence, detection and extraction of personal information, and multimedia, including image comparison, image filtering and facial recognition. The product is delivered as a Relativity plugin listed on the Relativity App Hub. A reviewer selects documents, supplies the review instructions, submits them through the plugin, and then validates the returned classifications and generates standard performance metrics. The same instructions can run on more documents without indexing or retraining. The company, based in Bloomington, Minnesota, publishes a large library of practitioner material on AI document review.
eimmigration is immigration case management software built by Cerenade and sold to immigration law firms, nonprofit legal service providers, corporate legal teams and university international offices. The core is casework rather than AI: more than 300 USCIS, State Department and Labor Department forms with version control, 120 case templates, intake questionnaires, a client portal, electronic filing, USCIS and Visa Bulletin tracking, CBP travel history import, billing and trust accounting. Four AI features, branded AI Workmates, sit on top. Summarizer digests an uploaded PDF, pasted text or a URL. Extractor pulls data from passports, USCIS receipts and other PDFs, handwritten ones included, into client and case fields. The Translator moves intake questionnaires and government forms between English and twelve other languages. Report.AI answers questions about a firm's own caseload in plain language. Further drafting and translation tools on the site belong to partners. The customer agreement, data processing addendum and subprocessor list were updated in February 2026, and prices are published per user. The vendor is Multimedia Abacus Corporation, trading as Cerenade, of Inglewood, California.
Epiq AI is the AI product line of Epiq Systems, Inc., a New York legal services and technology company whose other businesses include class action and bankruptcy administration, managed review and cyber incident response. Launched in January 2025 as Epiq AI Discovery Assistant on technology from Epiq's 2024 acquisition of Laer AI, it now runs on the Epiq Laer platform, which orchestrates models, agents and human reviewers. The line comprises Epiq AI for Review (responsiveness, issue, PII and privilege classification from review protocols, with recall, precision and elusion metrics), Epiq AI for Privilege (privilege classification and log generation with reasoning and citations at line level), Epiq Assist (conversational fact research over a dataset), and versions for antitrust, compliance and plaintiff class actions. Accelerators run inside RelativityOne and Relativity Server. It is sold per matter through the Epiq Service Cloud and Epiq Access, alone or with Epiq review teams, and Epiq says 130 clients had adopted it by early 2026. Epiq also resells third party AI, including Leah contract software, which is a separate product. Software is governed by the published Epiq Software Terms and Conditions and the Epiq Global Terms of Service.
EsquireTek is a written discovery platform and service from EsquireTek, Inc. of San Diego, built for plaintiff trial lawyers, litigation firms and corporate legal teams. Its Alpha product is software a firm runs itself. AI scans an opposing party's discovery requests and turns them into a response document within 60 seconds, and objections are added from a library with a click. Questions go to clients by text or email, their answers populate the responses, and verifications and electronic service are built in. Omega is a managed service in which EsquireTek's team prepares discovery responses, objections, medical chronologies and exhibits for personal injury firms with AI support. It delivers them for attorney review and is priced per set of discovery. A Mass Torts offering combines a portal with trained specialists and AI assisted drafting for plaintiff fact sheets and short form complaints. EsquireTek integrates with MyCase. Its terms, effective 28 May 2025, state that the information provided is not legal advice and make attorney users responsible for reviewing documents and citations the service provides. They also grant EsquireTek a broad license over user content. Its privacy policy says data may be processed in the United States and India, and pricing figures are not published.
EstateScribe is estate planning software from EstateScribe, LLC for law firms. It collects client information through intake forms and a client portal branded for the firm, extracts details from uploaded intake documents with AI, drafts wills, revocable living trusts, powers of attorney and other estate planning documents from that data, tailored to the jurisdiction, for attorney review and editing, and tracks each matter and document through to execution; the portal also offers clients an AI copilot. Client data is processed in an isolated AI environment on AWS in the United States and is not used to train generalized models, and the company has completed a SOC 2 Type II examination. Pricing is not published.
Ethyca is a data governance and privacy engineering platform for enterprises. It is built on Fides, an open source privacy taxonomy and policy language that Ethyca wrote and maintains on GitHub. The platform has five parts. Fides is the governance taxonomy. Helios finds and classifies personal and sensitive data across databases, warehouses, websites and third party apps. Janus captures consent and lawful basis. Lethe handles data subject requests and deidentification. Astralis enforces purpose based access at runtime, including on AI agent calls through a policy gateway, and runs ongoing risk assessment against regimes such as GDPR, the EU AI Act and CPRA. Helios uses a large language model on database metadata only, never table contents, and Ethyca publishes precision and recall figures for it. Privacy and legal teams use it for records of processing, consent, subject requests, deletion, and vendor and transfer risk. Named customers include The New York Times, Ramp, SurveyMonkey, WeTransfer and Vercel.
Eudia is an AI platform for large in house legal departments. It turns a company's own contracts, policies and know how into what it calls an Enterprise Brain, then runs legal agents on top of it. The platform covers five areas: marketing compliance, contracting and deal speed, self service decisions for the business, mergers and acquisitions, and litigation. A separate offering serves government acquisition teams. It connects to the systems where the work already sits, including Google Drive, SharePoint, Box, Salesforce, DocuSign, Onit and LinkSquares. Published customer stories name Duracell, Graybar and Cargill, each with a figure. Eudia's SafeBase trust center lists SOC 2 Type 2, ISO/IEC 27001, ISO/IEC 42001:2023 and GDPR, and a subprocessor list that names Anthropic and OpenAI. Eudia also runs Eudia Counsel, a separately branded legal services arm with a law firm, on the same platform. This entry covers the software platform sold at eudia.com. Eudia is the trading name of Cicero Technologies, Inc.
Eve is an AI platform for plaintiff law firms, covering the case from intake to resolution. It handles intake and case evaluation, medical overviews and chronologies, demand letters, complaints, discovery in both directions, and case value analysis. In January 2026 it relaunched as an AI Workforce of three coordinated agent roles, Agents, Auditor and Analyst, that move cases forward without waiting for prompts. In June 2026 it launched EveOS, an operating platform for plaintiff firms. Eve says its answers cite sources with links back to the firm's own documents, that it checks its own responses, and that users can verify in one click. It learns a firm's tone and style so drafts match the firm's voice. Personal injury is the main focus, with medical malpractice, employment and general litigation also served. Eve claims SOC 2 Type 2 and HIPAA compliance. It says it treats attorney client privilege as a first principle, never trains shared models on case data, and isolates data by firm, user and workflow. It reports more than 450 firms and more than 200,000 cases a year. Founded in San Francisco in 2020 by chief executive Jayanth M, Eve has raised $164m, including a $103m Series B led by Spark Capital on 30 September 2025. Pricing is not published.
EvenUp is a vertical AI platform built only for plaintiff personal injury firms, marketed as a Claims Intelligence Platform. Founded in 2019 and based in San Francisco, it turns the raw material of an injury case into the documents a personal injury firm produces repeatedly: demand letters, medical chronologies and case valuations. Inputs include police reports, medical records, billing statements, photographs and intake notes. Its AI engine, Piai, is described by the vendor as trained on a large dataset specific to personal injury. MedChrons summarizes medical records into chronological reports with treatment timelines and ICD code extraction. Other components cover case materials and drafts, case and negotiation preparation, a Settlement Repository of past settlements used for valuation, and caseload analytics. Demand packages cite comparable verdicts inside the document, and a Thomson Reuters and Westlaw integration supports legal citation. Demands come in tiers from instant AI generation to an expert reviewed tier checked by an in house team before delivery. A Trust Center offers documentation on request, alongside a SOC 2 Type 2 examination recertified in April 2026 and a HIPAA attestation. Pricing is per case and not published.
Everchron is litigation management software for case teams, operated by Icebox Inc. of Los Angeles. Its founders practiced as litigators at Irell & Manella, and the product entered the wider market in 2016. Each matter gets a shared workspace: a case chronology linking facts, events, documents, issues and people; a master file built for large document sets, including multidistrict litigation; witness profiles; deposition transcript management and designations; and full text search. It integrates with RelativityOne and Relativity Server. The AI layer, EC:AI, is optional and must be switched on. It offers agentic chat that plans work across a matter and returns cited answers, fact extraction that drafts facts for the team to accept or reject, assisted search, transcript summaries, and extraction into custom fields. Administrators enable it by organization, matter and user, and a user can see the plan, sources and steps behind each request. AI generated content is labeled throughout the matter, and Everchron says the label carries through on export. The customer agreement, published as the Terms of Use, states that output may contain hallucinations and that the customer must evaluate accuracy, including by human review.
Everlaw is a cloud ediscovery, investigation and litigation platform covering upload and processing, review, production and trial preparation. It is sold to law firms, corporate legal departments and government agencies at federal, state and local level. The Everlaw AI suite adds Review Assistant for summaries and extractions, Coding Suggestions for first pass review and Writing Assistant inside Storybuilder for drafting from the evidence. Deep Dive answers natural language questions across matters of more than 20 million documents, with citations to the source documents. Predictive Coding and Clustering run beside them. Everlaw connects to Claude, ChatGPT Enterprise, Gemini, Microsoft Copilot, Harvey, Legora and Thomson Reuters, offers API and MCP connectors, and collects data from Microsoft 365, Zoom and Google Workspace. It runs on AWS in the United States, United Kingdom, Germany, Canada and Australia and holds FedRAMP Moderate and GovRAMP authorizations. Its customer terms, data processing addendum, subprocessor list and a government request transparency report are published.
Exterro is a data risk management platform for corporate legal, compliance, privacy, security and IT teams, covering ediscovery, digital forensics, data privacy and information governance in one system. The ediscovery suite runs legal hold, preservation in place, collection, processing, early case assessment, review, production and subpoena response, and FTK handles forensic acquisition and analysis. More than 190 native connectors reach email, chat, collaboration tools, cloud storage, endpoints and business applications such as Salesforce, acting on data where it sits. Exterro Intelligence is the AI layer, with Smart Labeling, summaries, translation, transcription, image and video recognition and agents for analysis, validation, classification and reporting. ARMOUR is Exterro's framework for agentic work, and Subpoena Manager, launched in May 2026, is its first autonomous product. Exterro is based in Portland, Oregon, with almost 500 engineers in Coimbatore and Chennai, India, and reports more than 2,700 organizations as customers. Its customer agreement and a trust center with a subprocessor list are public.
Fileread is an AI fact finding platform for litigation and investigations, sold to case teams at law firms, corporate legal departments and litigation support providers. It reads an entire document production and returns answers pinned to the exact place in the source, across text, images, handwritten notes, audio, video and spreadsheets. Users ask questions in plain language rather than by keyword, then generate work product from the record: fact memos, chronologies, contradiction reports, character lists, org charts, deposition outlines and factual briefs. A module called Workbench runs longer research chains and assembles these items as drafts for professional review. The platform is offered as a standalone application and as a native integration inside Relativity. The company publishes practitioner reviewed papers on source citation, human oversight and failure modes in litigation AI. Data is encrypted and hosted in Azure, and the vendor says nothing a customer uploads trains a shared model. A trust center names the subprocessors in the AI path (OpenAI, Baseten, Pinecone, Langfuse and Microsoft Azure) and lists SOC 2 Type 2, ISO/IEC 27001:2022, HIPAA, GDPR and CCPA. Named customers include Kellogg, Hansen, Todd, Figel & Frederick, Nutter McClennen & Fish, Fields, Han & Cunniff, JND Legal Administration and Cimplifi.
Filevine is case management software for law firms and legal teams, built around the life of a matter from intake to settlement. Its AI layer, LOIS, includes MedChron for medical chronologies, DemandsAI for demand letters, Depo CoPilot for live deposition help, and drafting inside Microsoft Word. Filevine says its customers draft about 100,000 demand letters a month with it. The buyer base is wide: personal injury and other plaintiff firms, defense and family practices, prosecutors and public defenders, government agencies and in house teams, from solo to big law. What sets it apart is the contract. Third party model providers are barred from training on or keeping customer data, and users must check citations before output reaches a client or a court.
FinregE is an AI regulatory compliance platform for regulated institutions, which it presents as a regulatory operating system. Seven modules cover horizon scanning and regulatory change management, a library of machine readable rules and legislative text, mapping rules to internal policies and controls, impact assessment workflows, policy drafting and version control, regulatory project management, and risk assessment and control testing. Its AI engine, AI RIG, classifies and prioritizes regulatory changes, summarizes them, extracts obligations, maps them to internal controls while flagging gaps, suggests policy language, and answers questions within controlled workflows. The vendor says every AI output cites its source and that an immutable audit trail records who assessed a change, what changed, when, why, the supporting evidence and the workflow history. When a regulation changes, affected policies and controls are flagged for review. Stated coverage is more than three million regulatory data points from over 2,000 sources in more than 160 jurisdictions. Founded in 2018 and based in Canary Wharf, London, FinregE has a strategic investment from Moody's Corporation and was selected by the Financial Conduct Authority to redesign, host and manage the FCA Handbook website. It is certified to ISO/IEC 27001:2022, holds Cyber Essentials Plus, and is hosted on Microsoft Azure.
FirmPilot is an AI marketing engine for law firms from FirmPilot AI, Inc. of Miami, founded by chief executive Jake Soffer and sold as a replacement for a digital marketing agency. Its proprietary engine, which FirmPilot says is trained on more than five million pieces of legal marketing content and more than 3,000 legal cases, watches competing firms. It crawls their websites, ads, links and rankings every 90 minutes. Agents for blogs, social media and Google Business Profile then write and publish content, run Google Ads bidding and creative, build links and fix website problems. The work aims at both Google and AI answer engines such as ChatGPT. Each client has a dedicated success manager and a dashboard reporting leads, rankings, ad performance and return on spend, and the platform works only with WordPress sites. Practice area pages cover personal injury, family, criminal defense, employment, estate and probate, immigration, business and bankruptcy law, for firms of two to fifteen attorneys. Three flat monthly prices run from $4,250 to $9,250, with no percentage of ad spend. FirmPilot closed a $22 million Series A-1 in February 2026 led by DeepWork Capital, with Thomson Reuters Ventures and HubSpot Ventures among its investors.
Flank runs supervised AI agents that take over high volume legal work for enterprise in house teams, delivered by a forward deployed team rather than as a software rollout. The agents triage requests from the business and draft NDAs, MSAs, DPAs, statements of work, term sheets and franchise agreements from the team's templates. They also review and redline third party paper against the playbook, handle objections in negotiation and answer legal and policy questions. Requests arrive by email, Teams, Slack, forms or an intranet portal, so business users never open a new tool. Work outside the team's guardrails lands in a supervision queue, reviewed by the team's own lawyers, a partner firm such as Simmons & Simmons, or Flank's commercial counsel as a managed service. Flank Record files every executed contract at signature and answers questions about the estate in plain language. The company is Legal OS GmbH of Berlin, and models from OpenAI, Anthropic and Google run on Google Cloud and Azure in a regional tenant for each customer.
Foundation AI runs the document operations of law firms with high document volumes. Everything that arrives by post, electronic fax, portal, shared mailbox or individual inbox is captured, read, matched to a matter, named to the firm's convention, filed, routed and tasked, with every step tracked. The platform combines fine tuned language models, retrieval, vector search, taxonomies specific to each jurisdiction and deterministic guardrails. It evaluates each document from several angles and reconciles the results into a calibrated confidence score for every field, so confident results pass straight through and uncertain ones go to a reviewer rather than being guessed. Extracted data drives downstream work such as calendaring and updating treatment and damages records, and dashboards and BI feeds show where documents are. Integrations cover CASEpeer, Clio, Filevine, Litify, SmartAdvocate and Smokeball. The customer base is concentrated in personal injury, workers' compensation, SSDI, VA and insurance defense practices, with a separate Claims Operations product for insurers. Foundation Inc., trading as Foundation AI, is a Delaware corporation based in Irvine, California.
fynk is a contract management platform from fynk GmbH in Vienna, founded in April 2022 by a team that had built and sold the recruiting software Prescreen. It covers drafting from templates, negotiation, approval workflows, electronic signatures at simple, advanced and qualified levels with no envelope fees, and a searchable contract repository, for legal, finance, sales, procurement, HR, IT and operations teams. Its AI features include an assistant for questions across contracts, extraction of key terms and dates, review against a company's own rules with each clause marked green, orange or red and explained, drafting from templates, summaries and import. An MCP server lets assistants such as Claude and ChatGPT draft from templates, file documents and start signature runs within a user's permissions. Prices are published per user: a free plan for one user, Essential at 19 euros and Business at 39 euros a user a month, each with monthly AI credits, and a custom Pro plan. The platform runs on AWS in the European Economic Area, with the AI service hosted at Hetzner in Germany, and fynk holds ISO 27001 certification issued by DQS. Named customers include Conrad Electronic, 1. FC Nürnberg and Unite.
Gaius-Lex is an AI research and drafting agent for lawyers and tax advisers covering Polish, Czech, Austrian and German law. It is run by FLATHUB sp. z o.o. of Krakow, the contracting party in the terms of service, and backed by Digital Ocean Ventures, which calls it its first investment. It retrieves from a daily updated database of statutes, case law and tax interpretations, naming the Polish KRS company registry, the Eureka jurisprudence database, and Constitutional Tribunal and Supreme Court rulings, along with the main primary sources for the other three jurisdictions. Answers come with a footnote and a link to the authority, and case signatures are checked for existence against the database. The platform is sold as SaaS, hybrid or on premise. The site runs across three domains: gaius-lex.com in English, gaius-lex.pl in Polish and gaius-lex.de in German. The Polish site carries the application, the contact address and the binding terms of service, which are governed by Polish law.
Gatekeeper is a vendor and contract lifecycle management platform that treats the supplier and the agreement as one record. It covers contract intake and requests, authoring from templates and clause libraries, negotiation and redlining, approval routing with set thresholds, electronic signature compliant with ESIGN, UETA and eIDAS, a central repository with obligation and renewal tracking, and modules for vendor onboarding, third party risk, scorecards and spend. Its AI layer, LuminIQ, launched in March 2025 as a library of agents that extract metadata, summarize contracts in plain language, review clauses against approved language, flag risk and policy breaches, find obligations, route approvals, screen third parties for financial, cyber and sanctions risk, and build workflow cards from intake documents. Published AI Terms prohibit training on customer input and require customers to label AI output before publishing it, and the data processing agreement names every subprocessor with purpose and location. It runs on Amazon Web Services in four selectable regions, with a private cloud option, and plans include unlimited users with a quota on third parties managed. Buyers are legal, procurement and finance teams. The contracting entities are Gatekeeper Ltd of Jersey and group companies in the UK, US and Canada.
Gavel, formerly Documate, makes two legal products under its own name. Gavel Exec is AI contract review and drafting for transactional lawyers and in house teams, working in Microsoft Word and on the web. It redlines whole agreements against a firm's precedent and playbooks, drafts and rewrites clauses, benchmarks terms against market data, and answers questions about a document with explanations of its reasoning. Gavel Workflows is no code document automation that turns intake questionnaires and Word or PDF templates into finished documents, with client portals, a template and court form library, and tools for selling legal services online. It is used heavily in estate planning, family law, real estate and probate. The company says its AI features are optional, that it holds zero data retention agreements with its AI providers including OpenAI, and that Gavel Exec is SOC 2 Type I certified. Gavel was founded by Dorna Moini, a former Sidley Austin lawyer, is based in Los Angeles, and contracts as Documate, Inc. d/b/a Gavel. Relativity acquired Gavel in June 2026 and plans to bring its Word drafting into RelativityOne.
GC AI is an AI platform for in house legal teams, made by General Counsel AI, Inc. in San Francisco. Cecilia Ziniti, a three time general counsel, founded it in 2023 with CTO Bardia Pourvakil, and Sound Ventures, Worklife Ventures and Fellows Fund back the company. It launched in 2024 and serves more than 2,100 legal teams in 53 countries. Lawyers work in a chat workspace with projects, shared files, a skill library and Easy Prompt, and in a Microsoft Word add in that redlines against the team's playbooks. Automations rerun saved instructions on a schedule. Contract Intelligence extracts and reconciles terms across a contract portfolio synced from Google Drive, SharePoint, OneDrive, Dropbox or Ironclad. Exact Quote links each answer to highlighted source text, and legal research draws on more than 14 million United States court opinions and an International Law database covering more than 30 jurisdictions. Agent Connectors read and act in about 20 business apps, with write actions waiting for approval by default. A REST API, an MCP server and a command line tool reach people without seats. An individual seat costs $500 a month.
GenIA-L is the generative AI legal assistant of the Spanish legal publisher Lefebvre, built to answer only from the publisher's own library rather than the open internet. One chat brings together modules for answering legal questions (Consulta), building arguments from similar judgments (Argumenta), drafting documents from the user's files and Lefebvre sources (Redacta), reviewing contracts, briefs and claims for citation errors, legality and risk (Revisa) and analyzing a document against a chosen article (Analiza). It adds a deep reasoning mode and twelve guided workflows. Its sources are the Memento commentaries, consolidated state and regional legislation, case law and administrative doctrine, and each answer carries reference notes that open the original document. GenIA-L also runs inside Lefebvre's LexON practice management software. It is licensed per user to lawyers, in house legal departments, advisory firms and public bodies, and its product conditions commit to processing personal data only within the European Union. GenIA-L launched in September 2023 and is operated by Lefebvre El Derecho, S.A. of Madrid, part of the Lefebvre Group, which sells editions in France and other European countries.
Genie AI is a contract drafting, review and negotiation platform sold to business teams rather than law firms, with in house legal setting the playbooks and guardrails that commercial, procurement and sales colleagues work within. It drafts from templates or from scratch, reviews incoming third party paper against the customer's own playbook, redlines in tracked changes that export to Word, compares versions, extracts tabular data across a document set, and runs agentic workflows across a deal. Genie calls the architecture behind this Eidetic Intelligence and says it holds recall across documents through a semantic graph. Legal context is supplied at inference time from a proprietary corpus the vendor puts at 300,000 contracts and 10 million clause revisions, alongside open source templates, legislation and case law. OpenAI and Anthropic are named as model providers on a published subprocessor list, under zero data retention agreements. Free, Pro and Enterprise plans each carry a published starting price. The product terms state that the company is not a law firm, is not regulated for legal services, and that communications with it do not attract legal professional privilege.
Gist, formerly Bradwell, is a legal AI workspace and deployment service from Bradwell Tech, Inc., a Delaware company led by cofounders Shir Wisenberg and Tzuf Paz-Argaman. It serves law firms, from boutiques to full service firms, and in house legal teams. The workspace pairs a document editor inside Microsoft Word and the web app with Gist in Outlook and AI retrieval across a team's files, and every answer links to the document and passage it came from. Users build skills in plain language from their own templates and examples, and the workspace keeps a memory of each team's standards and preferred language. Beside the self serve platform, a team of lawyers and AI engineers builds custom agents for a firm's own processes. Examples include drafting a Series A share purchase agreement from the firm's precedent, answering a USPTO office action along the firm's decision tree and triaging NDAs against a legal team's positions. Agents are delivered within two weeks and maintained as models change. Each task is routed between Claude, GPT and Gemini models. Professional costs $80 and Team $180 per seat a month, billed yearly, with a 14 day trial, and custom builds are quoted.
Global IA Jurídica is the AI legal toolset of Economist & Jurist, the Spanish legal publisher and magazine operated by Difusión Jurídica y Temas de Actualidad, S.L. of Madrid. Its assistant, presented as JuristIA, answers legal questions and resolves cases put to it. Four tools sit beside it: a drafting chat, extraction of data from documents, comparison of documents, and a search that locates and summarizes relevant judgments in short case sheets. The publisher describes a language model specialized in Spanish law that searches its own collection of millions of legal documents, from national and European legislation and case law to decisions and legal articles, using vector embeddings. It is aimed at lawyers, law firms, self employed practitioners, legal aid lawyers, bar associations and public administrations. A free version is offered for trial, and no price for a paid plan is published. The product page says the information returned is one hundred percent reliable, without a published measurement. The tool was introduced in February 2024. The terms and data protection policy linked from the product page are the publisher's general website documents and do not address the AI tools.
Hadrius is an AI compliance platform for firms regulated by the SEC and FINRA, sold by Quantbase Investments, Inc. of New York. It brings the supervisory program a registered investment adviser or broker dealer must run into one system. AI reviews marketing and advertising against the SEC Marketing Rule, ADV requirements and performance presentation standards. Email, chat and social messages are supervised across more than sixty channels and archived under Rule 17a-4 with write once retention. Employee and firm trading is checked against restricted lists, blackout windows and personal trading rules, and further modules cover attestations, outside business activities, gifts, political contributions, controls testing and branch examinations. Every review, escalation, approval and remediation is timestamped into an audit trail the firm can produce at an examination. Buyers are broker dealers, RIAs, private funds and the compliance consultants who serve them, and the platform is configured to each firm's own compliance manual. The agreement says AI output is informational and must be independently verified by qualified compliance personnel before it is relied on. Customers include M1 Finance, Republic Capital, SmartAsset, Csenge Advisory Group and United Advisor Group.
Hanzo is an ediscovery and preservation platform for dynamic and collaborative data, sold to corporate legal and compliance teams. Chronicle preserves websites and social media. Illuminate handles legal hold, collection and review across Slack, Microsoft Teams, Google Workspace and email. It preserves messages in place with threading, reactions, edits and deletions intact, applies holds by custodian, channel and timeframe, and captures new messages posted after a hold. Spotlight AI, an optional layer within Illuminate, ranks and tags content for relevance by breaking a case into facets, explains why each item was flagged, and detects personal data and toxicity during early case assessment. Hanzo says it runs on local language models deployed inside the customer's tenant, so data does not leave the customer's environment, and it published a ninety five percent recall figure at launch in 2023. The company is Hanzo Archives, Inc., a Delaware corporation based in Portland, Oregon, with a European office in London, and it states annual SOC 2 Type 2 audits since 2019 by a CPA firm. Its published master services agreement for purchases through the IBM Marketplace includes prior notice of compelled disclosure, an intellectual property indemnity, a twelve month liability cap and five million dollars of insurance. The agreement for direct purchases is not published.
HAQQ is a legal AI platform from HAQQ Inc., built in Beirut and sold to law firms, in house legal teams and individuals, with its deepest coverage in the Middle East and Europe. Two products run on one engine, Justinian. Legal AI Chat answers legal questions with a citation behind each claim and drafts contracts and memos from a firm's own templates. It also reviews and redlines counterparty paper and pulls parties, dates and change of control terms from a data room into one table. eFirm is practice management for law firms, covering intake and KYC checks, matters and hearings, time tracking, invoicing, a financial ledger, email and a client portal. The AI works on the firm's own records. Before a third party frontier model writes an answer, Justinian classifies the request, detects the jurisdiction and language, retrieves sources and replaces personal details with stand ins. HAQQ maintains named statutes and codes for 33 countries and answers in more than 200. The interface runs in seven languages with native Arabic. Plans are priced per user and by credits, with a free tier, iOS and Android apps, and private cloud or on premises deployment for enterprises.
Harvey is an AI platform for legal and professional work, sold to large and mid sized law firms, in house legal departments and professional services firms. Agents plan multistep tasks, show the plan for approval, run in parallel or on a schedule and return cited output. Vault holds up to 100,000 documents per vault for tabular review and reports. Knowledge answers research questions from more than 500 legal sources, including LexisNexis content through Ask LexisNexis. Spaces gives firms and their clients a shared, governed workspace, and Contract Intelligence reviews incoming contracts against playbooks. Intake routes requests from email, Slack, Jira and ServiceNow to an approved agent or a lawyer. Command Center reports adoption with peer benchmarks, Memory keeps each user's preferences, and Horizon Scanning tracks regulatory change. More than 200,000 lawyers at over 3,500 organizations in more than 85 countries use the platform.
Hebbia is a New York company whose platform, Matrix, runs structured analysis in several steps across large sets of documents a customer uploads. It returns answers in a grid where each row is a document and each column a question, with sources shown for each cell; Max is its agent product. It is sold to asset managers, investment banks, corporate finance teams and law firms. Its legal page names due diligence, credit agreements, capital markets drafting, fund formation, databases of a firm's past matters and bespoke firm workflows, and shows Latham & Watkins, Cleary Gottlieb, Ropes & Gray and Seyfarth as customers. The Main Services Agreement, Data Processing Agreement, acceptable use policy and privacy policy are published. The DPA names OpenAI, Anthropic, Google and Microsoft as model providers and five inference hosts, each with a processing location. Hebbia states it does not train on customer data, while its agreement permits improving models used solely by that customer. Hebbia holds SOC 2 Type II and states ISO/IEC 42001:2023 certification; the platform runs on AWS in United States and European regions, and pricing is quoted per order.
HelloCounsel is an AI voice agent platform from HelloCounsel Inc. for plaintiff personal injury, workers' compensation and mass tort firms with roughly 10 to 200 staff. Its agents answer inbound calls and place outbound calls around the clock, handling new client intake and the calls that follow a signed case: client status updates, medical provider and records follow up, insurance adjuster and claim calls, lien balance checks and appointment changes. Routine requests are completed on the call, and sensitive or complex calls are routed to staff with context; the agents give no legal opinions, settlement estimates or outcome predictions. After each call a transcript and structured summary are written into the firm's case management system through native integrations with Filevine, Litify, Clio, SmartAdvocate, MyCase, CasePeer and Neos, alongside RingCentral. Pricing is a fixed monthly figure set by licenses and call volume, from $500 a month according to the company's blog, and every firm starts with a free pilot of two weeks.
HighQ is Thomson Reuters' collaboration and legal work management platform for law firms, corporate legal departments and government legal teams. It runs client portals, virtual data rooms, file sharing, iSheets, legal project management, workflow and document automation and dashboards, and for in house teams it covers contract management, legal intake and matter management. The HighQ AI engine in its AI Hub classifies documents by type and language and extracts dates, parties and clauses in English and German, at no per document cost for low volumes. With CoCounsel licenses, HighQ adds generative features. Document Insights runs CoCounsel's review and summarize skills on HighQ files, Self service Q&A answers clients and staff from documents an administrator chooses, and CoCounsel Drafting opens HighQ documents in Word. A read only MCP server connects HighQ to assistants such as Claude and ChatGPT Enterprise for Premium customers. Thomson Reuters' ISO 27001 certificate names HighQ in scope, and its AI terms bar training generative models on customer prompts, content or outputs. Bird & Bird, Geldards and Best Best & Krieger are named customers, Thomson Reuters counts more than one million users, and a UK government marketplace listing prices HighQ at £199 per user a month.
Holistic AI sells an AI governance platform built from three modules. Identify finds and inventories models, agents, APIs and pipelines across cloud, code and SaaS through read only connectors with no installed agent. Protect tests those systems for bias, robustness, efficacy, privacy and transparency, and runs red teaming for jailbreak, prompt injection, toxicity, hallucination and counterfactual bias. Enforce turns policy into workflows with sign offs, risk classification, approvals by a person, escalations, kill switches and deployment blocks. It assesses systems against the EU AI Act, the NIST AI Risk Management Framework, ISO 42001, New York City Local Law 144 and custom frameworks. What the company calls Guardian Agents run across all three. Sentinel agents watch production behavior and alert without interfering. Operative agents step in once a risk threshold is crossed, controlling which tools a system may call, what it may access and how much it may spend. The platform connects to AWS, GitHub, Databricks, Jira and others, and through MCP, REST APIs, webhooks and an SDK. Holistic AI Limited is based in London with a United States presence. Pricing is quoted, not published, and no customer agreement or data processing agreement was found.
Hona is a client communication platform for personal injury firms, built around an AI case manager called Lia that runs the treatment phase of a case. Once a client is enrolled, Lia texts them the same day, maps the treatment plan, sends appointment reminders, checks in after each visit to capture symptoms and provider details, and builds a timestamped treatment timeline on the case. Missed appointments, new symptoms, unfamiliar providers and long silences are flagged to the case manager under escalation rules the firm writes in plain language, and high priority alerts repeat until someone resolves them. Lia introduces herself as an AI in her first message, is set never to give legal advice or opinions, and passes any question about legal strategy to the assigned case manager, who can join any conversation or call from the dashboard. She works in English and Spanish, by text or voice, and enrollment is optional case by case. Hona connects to case management systems PI firms already use, including Filevine, Clio, MyCase, CASEpeer, SmartAdvocate, Assembly and Smokeball. Hona Software, Inc. is a Delaware corporation based in Orem, Utah, and says more than 500 personal injury firms use the platform.
Huski.ai is an AI trademark platform for IP attorneys, paralegals and legal staff, covering search, docketing, watch and online brand protection. It was founded in 2020 and is based in Middletown, Delaware. Its core technology is image recognition applied to trademark work, which the vendor says removes the need for design search codes: a user uploads an image and gets visually similar results from the USPTO database in seconds. Search covers text and image clearance against the USPTO, with a report and a customized opinion letter generated in a few clicks. Watch applies the same recognition to newly filed applications, so conflicts surface at filing rather than at publication. Docketing offers portfolio upload in one click, deadline tracking, a daily email, Office Action management and integration with US Customs and Border Protection to track recordation statuses. Brand Protection monitors online stores and marketplaces for infringing listings, including independent Shopify stores, and compiles evidence into a report for litigation. Pricing is published, starting at $299 per month for unlimited text and image clearance searches, with no contract or credit card required to start.
HyperStart CLM is contract lifecycle management software from HyperVerge, a bootstrapped AI company with offices in Bangalore, Coimbatore, Palo Alto and Ho Chi Minh City. It covers drafting from templates, intake forms and conditional logic, no code approval workflows, negotiation with AI redlining and version history, eSignature through Docusign, Adobe Acrobat Sign, Zoho Sign or a native one time password option, a repository with AI search filters, AI extraction of metadata for obligations and renewals, reminders, and an InFlight dashboard that tracks contracts in progress. HyperStart sells it to legal, sales, procurement, finance and HR teams; its legal pages speak to in house counsel and mention law firms alongside. AI Smart Assist gives a first pass redline and contract summaries, and HyperStart says its AI is built on HyperVerge technology that has processed more than a billion documents. Its FAQ quotes implementation at four to six weeks, with contract migration, workflow setup and a named account manager included, and offers a seven day trial before purchase. Prices are quoted by team size and contract volume. Case studies name LeadSquared, Qapita, Rentomojo and Lumelight. The contracting entity is HyperVerge Technologies Private Limited, under Indian law, with hosting in India or the United States.
IamIP is a patent intelligence platform from IamIP Sverige AB, founded in 2013 and based in Stockholm, with offices in Cologne and Szczecin. It covers more than 105 countries, over 131 million patents and 338 million legal events, updated weekly. Features include patent search with machine translation, monitoring alerts, legal status watch, analytics, team collaboration and an idea database for invention decisions. The AI toolkit adds natural language and similarity search, monitoring set up from an AI search, an AI Patent Summarizer, an AI Claim Comparer that matches claims by meaning across jurisdictions and languages, and an AI Claim Clarifier that adds definitions taken from the patent's own description. IamIP says AI search processing happens within its own secure environment. It sells to management, R&D and IP teams and to patent attorneys and law firms, and publishes case studies from Grundfos, TRUMPF, Sartorius and the German patent firm terpatent, among others. Its pricing page lists Starter, Pro and Enterprise plans at 0, 89 and 299 a year with no currency shown. No customer terms are published.
Iberley IA is the AI assistant built into Iberley, the Spanish legal information database run by Iberley Información Legal, S.L. of A Coruña. The company shares a business group with the legal publisher Editorial Colex and the practice software company Sudespacho Cloud. The current version, Iberley IA 5.4 Uxía, analyzes and drafts legal queries and documents, with answers grounded in Iberley's collection of current legislation, case law and doctrine together with Colex content. Every Iberley subscription now includes AI. The basic legal plan allows ten AI queries a day without documents or history. The advanced plan allows unlimited queries, up to ten documents per query, conversation history and Copilot, which runs nine guided workflows such as analyzing a claim or answering an administrative notice. A free seven day demo is offered. Iberley's general conditions commit that client documents are never used to train its own or third party models, that providers do not access their content, and that storage, processing and backups stay inside the European Union. It is sold to lawyers, legal departments and tax, labor and business advisers.
Icertis Contract Intelligence is an enterprise contract lifecycle platform covering authoring, negotiation, approval, execution, obligation management, risk and compliance, and analytics for buy side and sell side agreements. It was renamed from Icertis Contract Management as its positioning moved from storing and routing contracts to extracting structured data from them. AI runs through the platform as Icertis Copilots and a contract intelligence engine that extracts clauses, obligations and risk. An agent layer branded Vera was introduced across Engage, Operate and Analyze in 2026, and the vendor says it acts autonomously within boundaries the customer sets. Prebuilt adapters connect the platform to SAP, Microsoft, Salesforce, Workday, Adobe Sign and DocuSign. The platform is built on Microsoft Azure, with Microsoft as a strategic partner. Icertis was founded in 2009, is based in Bellevue, Washington, and has raised more than $851m. It says 30 percent of the Fortune 100 are customers, across more than 90 countries, and publishes an annual State of Contracting research report.
iCONECT is a document review and data analysis platform from iCONECT Development, LLC, founded in 1999. It is sold for eDiscovery, cyber breach response and data governance to law firms, corporations, public sector organizations and the legal service providers that host it. The eDiscovery product covers processing, full text lookup, deduplication, email threading, automated redaction and production. Its machine learning includes continuous active learning and Oversight, a quality control tool in standard licensing that looks for tagging errors after a reviewer seeds a model. Generative AI features include document summaries, document and image classification, entity redaction, image description, audio transcription and translation. The cyber data mining product finds and extracts personal information for breach notification and lets users send documents to a model of their choice, including models from OpenAI, Microsoft and Google. iCONECT can run on premises, in the cloud on Azure, Google Cloud or AWS, in a hybrid setup, through hosting partners or as its own SaaS on Microsoft Azure. Its SaaS platform holds a SOC 2 Type 2 report from A-LIGN. No customer agreement and no pricing figures are published.
Imagility is an immigration platform from Imagility LLC of Cambridge, Massachusetts, for immigration law firms, corporate HR and mobility teams, and individual applicants. For attorneys it combines intake, OCR and language processing that extract data from resumes and immigration documents, an interactive Immigration Wizard, petition building with automated drafting, and a petition analysis report. That report checks fees, job descriptions against specialty occupation requirements, and missing documents. It also offers RFE response building, case and practice management, LawPay payments and electronic filing. It covers employment based, family, humanitarian and naturalization cases, and a separate compliance suite handles I-9, LCA and public access file obligations for employers. Pricing is not published.
iManage is a cloud document and email management platform for law firms, corporate legal departments, financial services, accounting and government. It is built around iManage Work, with add on products for sharing, information barriers, security, records, conflicts and knowledge search. Its AI is sold as separate products on top of a standard cloud subscription and runs only on the cloudimanage.com endpoint. AI Enrichment classifies documents and extracts data points at scale. Ask iManage takes a plain language question, retrieves material from the firm's own repository and returns an answer with citations the user can open. It also extracts clauses, compares redlines, summarizes documents and applies a firm's contract playbook. iManage states that by default neither it nor its third party model providers train on customer data, including AI inputs and outputs. The published Cloud Services Agreement includes the security exhibit and data protection agreement, and commits to notice before compelled disclosure. iManage LLC contracts from Chicago, and iManage EMEA Limited, registered in England and Wales, contracts for Europe, the Middle East and Africa. Customer data is stored in the region named in the order.
Inhouse is an AI legal assistant for small business owners, founders and individuals in the United States, sold by Inhouse AI, Inc. of Santa Monica. Users ask legal questions in plain language, draft and review contracts, letters and corporate documents, and keep their chats and files in a personal dashboard. The AI runs on foundation models hosted inside Inhouse's own Amazon Web Services account through Amazon Bedrock and is tuned to United States business law. A free tier answers questions. The $49 a month Inhouse AI plan adds unlimited document drafting. The $149 a month Inhouse Counsel plan adds lawyer time from Inhouse Counsel P.C., an affiliated law firm, with discounted rates from a network of outside attorneys for specialist work. On the Counsel plan the AI acts for the firm and conversations are privileged. On the AI plan they are confidential but not privileged, and attorneys may review them and offer their services. Inhouse also publishes a GPT in the ChatGPT store and playbooks for formation, hiring, fundraising, contracts and disputes, and reports more than 160,000 businesses served.
Inhubber is contract management software from key2contract GmbH in Berlin, sold to companies of all sizes for procurement, finance, legal, HR, logistics and sales teams. It stores contracts in a repository encrypted on the user's side, tracks deadlines and obligations, and routes approvals between reviewers, editors and approvers. Every action is recorded in an audit trail anchored to a private Ethereum blockchain. Contracts can be signed with a simple electronic signature, a blockchain sealed signature, or an eIDAS QES signature through its partner Nect. The AI, included in the Standard and Professional plans, summarizes contracts and extracts dates, payment schedules and obligations. It flags financial and legal risks such as unlimited liability, marking clauses red, yellow or green and pointing out missing clauses. Inhubber claims accuracy above 90 percent without describing how it was measured. Data is hosted on AWS and DigitalOcean in Frankfurt, and the company states an ISO 27001:2022 certificate from Proks Certification. Inhubber began as a university research project and names rebuy, Ansorge Logistik and 17er Oberlandenergie in case studies, with EDEKA Baur and the OECD among its logos. Prices are quoted, the customer terms are not public, and a data processing agreement is offered on request.
Inlet is AI timekeeping software for law firms that bill by the hour, from Inlet, Inc. of 169 Madison Avenue, New York. Founded in 2023 by Sean Adler (CEO) and Adam Miller (CTO), it went through Y Combinator's Summer 2023 batch and lists Twenty Two Ventures, Olive Capital and Shine Capital among its backers; Y Combinator describes its customers as small and medium sized law firms. A desktop application runs in the background and records which applications and matters an attorney is working in, including Outlook, Gmail, Word, Acrobat, Google Calendar, Zoom, Microsoft Teams and Slack, using activity signals and email and calendar metadata rather than the content of what is typed. AI turns that activity into draft time entries assigned to clients, which the attorney reviews, edits and releases in one click to Clio, MyCase, Filevine, PracticePanther or Aderant. Nothing reaches the billing system until the attorney approves it, and administrators see approved time and firm level reporting. Inlet's home page names 19 firms, publishes results for nine of them and offers a 14 day free trial.
InnovationQ+ is IP.com's search and analytics platform for patent and nonpatent literature, used for prior art discovery, patentability screening, freedom to operate work, landscape mapping and competitive monitoring. It searches 154 patent authorities at once across more than 190 million IP data points, and offers full text access to IEEE alongside IP.com's own Prior Art Database of technical disclosures. Users can search by concept, keyword, hybrid, image or whole document, so a draft invention disclosure or a full claim can serve as the query. Analysis covers trends, leading filers, geography and gaps, plus scored reports: the self service Patent Vitality Report, and the Portfolio Intelligence Report, which scores each patent in a portfolio on fourteen factors against a peer group of the hundred most similar patents. The AI has two parts. Semantic Gist, the retrieval engine, is built in house and covered by United States Patents 8,539,000 and 8,548,951. CompassAI, the reasoning layer, works only on evidence Semantic Gist retrieves, assessing novelty, similarity and technical differences, and is described as supporting expert judgment rather than replacing it. IP.com, Inc. has operated since 1994 and also offers InnovationQ, IQ Ideas+ and analyst delivered search services.
InPractice reads medical records and turns them into chronologies and narrative summaries for legal and medical professionals. Records are uploaded to a case and processed at a stated three seconds a page. Chronologies are organized by date, with an outline view that jumps to the source document and a side by side view that puts each summary next to the original record. Users can edit entries, search records with OCR and export to Word, Excel or PDF. Duplicates are automatically, and a cost statement for each case reports pages used and spend. Case Chat answers questions against the record set. The company sells to personal injury, workers' compensation, medical malpractice and mass tort practices, to medical examiners and to insurers, in the United States only. Pricing is charged by the page with no subscription or user fee, from 100 dollars for a thousand pages, and credits do not expire. A free trial covers 500 pages over seven days. InPractice states that it does not use customer information to train AI models and describes itself as HIPAA compliant. InPractice, Inc. is based in Goleta, California.
IntakeOS is an intake platform for high volume plaintiff law firms, sold by Case Compass, the New York company formerly known as Gideon Legal. It sits between a firm's marketing channels and its case management system. Prospective clients arrive through a website chatbot, embedded webforms or a live phone transfer, and branching questions follow each case type. Waypoint is the AI layer. It reads every finished intake against criteria the firm writes in plain language and returns a numeric score, a category breakdown, a written summary and red flags before staff open the lead. It runs on the firm's own OpenAI key. A prospect who meets the firm's rules can sign a prefilled retainer in the same session, and the signed case syncs to Litify, Filevine, Clio, Lead Docket or HubSpot. An agent workspace adds a live transfer queue, a RingCentral softphone, call scripts and speed to lead dashboards. A referral partner portal tracks referred leads and fees, and mass tort firms group claimants into MDL portfolios with plaintiff fact sheet exports. Stern & Cohen and McCune Law Group are named customers. Pricing is quoted after a demo. Case Compass also sells Dwellex to landlord and tenant firms. The old gideonlegal.com address now carries unrelated content.
Intaker is a cloud intake and client relationship management platform for law firms, built around website chat that qualifies leads around the clock. Its distinguishing feature is video: lawyers record intro and outro videos that play inside the chat, so a prospective client sees the attorney rather than a text widget. The chat runs on more than 1,400 custom prompts with prebuilt scripts for different practice areas, and Live Call Connect, a click to call widget, turns a chat lead into a live phone transfer to the firm. Beyond chat, the platform covers lead tracking, two way texting, automated email and text follow up sequences, virtual inbox workflows, staff reminders and reporting. Stated capabilities include natural language processing, language detection and automated responses. Named integrations are Clio, Filevine, Salesforce, Calendly, Google Analytics and Google My Business. Independent software directories list pricing from $80 per month with no free trial. The company is Intaker, Inc.
Intapp sells cloud software to law firms, corporate legal departments, accounting and consulting firms, investment banks and private capital managers. It is listed on NASDAQ as INTA and contracts as Integration Appliance, Inc. Its legal products cover the client lifecycle: new business intake, conflicts, AML and know your client checks, lateral hire onboarding, ethical walls (Intapp Walls), outside counsel guideline compliance (Intapp Terms), timekeeping (Intapp Time), prebilling and billing (Intapp Billstream), Microsoft 365 matter workspaces, and relationship intelligence (DealCloud). Generative AI reaches buyers two ways. Intapp Assist is built into Time, Terms and DealCloud and answers questions from firm data; its Ask Intapp feature runs in Microsoft Teams and answers questions about client obligations with links to the source records. Intapp Celeste is the firm wide AI layer, and customers can choose between Anthropic models on Amazon Bedrock and Azure OpenAI models. The company publishes a dated AI transparency statement, a detailed subprocessor list with change notices, a data processing addendum, and ISO, SOC and CSA STAR certifications audited by Schellman. Hosting is on Microsoft Azure across seven named regions.
IntelAgree is an enterprise contract lifecycle management platform for legal, procurement, sales and finance teams, covering drafting, redlining, approvals, eSignature, a searchable repository, obligation tracking and renewals for both buying and selling contracts. Its generative AI layer, Saige Assist, is sold in five nested levels: comparison and summaries in every plan, then chat across a contract and up to 20 related agreements, redlining in Microsoft Word against the customer's playbook, data extraction from a plain description, and risk scoring built from the customer's own attributes. Saige Assist proposes changes and legal approves them; redlines within thresholds the customer sets can be accepted automatically, approval gates hold contracts on chosen terms, and an agent mode asks for confirmation at every action. IntelAgree says it has built its own contract AI since 2017, starting with models trained on contracts from SEC EDGAR filings. Native integrations cover Salesforce, Workday, Bullhorn, Microsoft Dynamics 365, DocuSign and Adobe Acrobat Sign, with Workato and a REST API for others. The platform runs on Microsoft Azure in the United States with a separate database for each customer, and holds a SOC 2 Type II report. Named customers include MultiPlan, Bullhorn, Casey's, Enlyte and Pebble Beach. IntelAgree, LLC was founded in Tampa by David Hull, Marc Miller and John Wagner.
Intelligize+ AI is the AI version of Intelligize, a LexisNexis platform for SEC disclosure, reporting and transactional research, run from New York. It combines search across more than 17 million SEC filings, SEC comment letters, ESG reports, M&A data, accounting standards from FASB, PCAOB, AICPA and IFRS, and law and accounting firm guidance with Protégé, the LexisNexis AI assistant, which answers questions over several turns, benchmarks disclosures across peer groups, builds comparison tables and produces grounded first drafts, with links to the filings behind each result and a view of the search logic used. Traditional Boolean and conceptual search remain available. It is sold to public and private companies, law firms and accounting and consulting firms, with an API for bringing the data into internal systems and a customer research team that can help validate findings. The platform operates under the LexisNexis general terms and trust center and the RELX Responsible AI Principles. Pricing is not published; trials are available on request.
IP Author is an AI patent platform for practitioners, covering drafting, prior art search, office action responses, claim drafting, invention management and patent classification. It drafts a complete first application from an invention disclosure, with claims, specification and figures kept consistent, in a stated fifteen minutes. Prior art search is built into drafting and covers patent and non patent literature and technical standards across more than 100 jurisdictions. Office action support covers rejections under sections 101, 102, 103 and 112 and double patenting. The vendor states that attorneys and agents stay in full control of the final work product. A 14 day free trial is available from the website, which also publishes a pricing page and a Trust Center.
ipQuants builds Qthena, a copilot for patent professionals built around a digital cockpit for working on documents. The cockpit handles review, annotation and management of published patent documents, with project views and panels for collaboration. An analytics layer lets a user query ipQuants' own datasets and statistics without uploading anything, including insights on individual EPO examiners and opposition and appeal board members. The generative layer, AskQthena, runs document analysis, summarization, drafting and conversational queries across many documents. Qthena is organized into named skills: analysis across documents, EPO and USPTO examination, claim feature breakdown, prior art comparison, invention disclosure generation, patent drafting, and patent drawings from sketches, photographs or text. The company states that drafting covers about 80 percent of the work with the user finalizing, that drawing generation reliably completes around 90 percent, and that a human decides at each step. It says publicly that it does not tie itself to one model provider and has moved its default between vendors. Users are corporate IP departments, law firms and R&D teams. Questel also distributes Qthena inside its own IP platform.
IPRally is a patent search and analysis platform for corporate IP departments, R&D teams, patent attorneys and search professionals. Its core is a proprietary graph based AI, trained on millions of patent examiner citations, that runs prior art searches from a plain text description, a publication number, an image or a search graph instead of Boolean queries, across what the company describes as 120 million or more patents in 58 jurisdictions, with machine translation of documents not in English. Review tools include Ask AI for single patents or whole result sets, AI highlighting and relevance scoring, relevance feedback, custom classifiers trained on a customer's own data, and Graph AI monitoring of technologies and competitors. IPRally Agent takes an invention disclosure or target document, confirms the claims and features with the user, searches, and returns a claim chart with prior art mapped to each claim and a written novelty or invalidity report for professional review. Generative features are optional, marked in the interface and can be switched off by an administrator. Plans are Individual and Team, the latter with unlimited seats. Published Generative AI Additional Terms name Anthropic, OpenAI and Google as possible model providers and require that none train on customer data. IPRally Technologies Oy is based in Helsinki, holds ISO 27001 certification and runs its servers in the EU.
Ironclad is a contract lifecycle management platform for in house legal, procurement, sales, finance and IT teams, covering intake, drafting, no code workflows, approvals, negotiation, eSignature, the repository and analytics. Its AI layer runs through Ironclad Agent, a conversational front door that finds contracts by meaning and answers questions about the portfolio. It calls specialized agents for intake, contract review, renewals, analytics, contract families and workflow design. Contract Review Agent, formerly Jurist, redlines against a company's playbooks and past negotiated agreements, flags risk and drafts, in Ironclad or in Microsoft Word. MCP connectors bring repository answers into Claude, ChatGPT and Slackbot. The agents draw on models from Google Gemini, OpenAI and Anthropic, and Ironclad trains its own models only on data from customers who opt in. Founded in San Francisco in 2014, it reports more than 2,000 customers and over 2 billion contracts processed.
Irys, formerly Iqidis, is a legal AI platform from Iqidis, Inc. of New York, which rebranded in March 2026; the main product, Irys One, was formerly called Iqidis. It organizes legal work around matters. It researches case law against retrieved sources, with results linked to the opinions relied on, and drafts motions, memos, contracts and letters in a firm's voice. It also redlines against playbooks, analyzes a matter's documents through a knowledge graph, and runs Cite Check, which checks citations and flags those it cannot match. Irys Workbench agents gather material from connected email and files and return finished documents, and an add in brings Irys into Microsoft Word. Most processing runs on Irys's own retrieval and orchestration layers, with named third party models called for discrete inference steps under terms that bar training and retention. It serves solo practitioners through large firms, in house teams and insurance defense firms. Plans run from a free tier and $19.99 a month to $299 per seat a month for Irys One, with Enterprise priced to scope.
Ivo is an AI contract review platform for in house legal teams at large enterprises. Ivo Review checks agreements against a company's own playbooks, executed contracts and deal context such as value and urgency, then applies redlines directly in Microsoft Word or Google Docs. It also benchmarks clauses against executed contracts by governing law, contract type, party role and industry, and turns templates and contracts already in the repository into a working playbook. Ivo Assistant compares documents against prior agreements, reports on changes in the law and researches regulations. Ivo Intelligence connects to contracts wherever they are stored, extracts data for plain English questions, shows an agreement and its amendments as one timeline, and flags where executed contracts depart from standard positions. Ivo Collaborate, now available, runs the contracting lifecycle from intake through approval, negotiation and signature, with intake in Salesforce, redlines in Word and approvals in Slack. The company publishes a benchmarking study in which three attorneys judged its redlines blind across 19 real contracts. Atlassian, Canva and CDW are its featured customers. Ivo is operated by Ivo AI, Inc., based in San Francisco.
Jhana.ai is an AI legal research and drafting platform built for Indian law, marketed as India's first AI paralegal. Its core collection, described as India's National Legal Archive, holds more than 16 million machine enhanced judgments and statutes, built as a proprietary Indian dataset. AI Paralegal reads case files and produces propositions, citations, advisories and memos from plain language requests, and Document Intelligence reviews documents to flag risks, suggest edits and spot deviations from standard practice. Two public sector agents, Courtroom for judicial and registry work and PUBSEC for administration, run extraction, synopsis, forensic scrutiny, research, drafting and communications; the vendor says these are owned and hosted by the courts, work with existing systems and run over API. The vendor claims proprietary verifier and graph models and says its agents always cite their work. It reports more than 10,000 users, over 150 judges and registrars in five or more courts, more than 100,000 paralegal sessions and over 200,000 searches. Founded in 2022 at Harvard by Em McGlone, Hemanth Bharatha Chakravarthy and Benjamin Hoffner-Brodsky, it is based in Bengaluru and raised a $1.6m seed round led by Together Fund. In January 2026 it announced a partnership with CADRE ODR for online arbitration.
Jimini AI is a legal AI assistant built for continental civil law, sold to French law firms, individual avocats and corporate legal departments. It covers three jobs: analyzing documents, drafting, and legal research grounded in recognized sources. It adds agentic workflows that plan and run legal tasks with several steps, with more than 200 built and validated with in house lawyers. It works inside Word and Outlook through Microsoft add-ins included in the subscription, and connects to Google Drive and SharePoint. The platform is hosted in France on Scaleway and S3NS, and all customer data is stored in France. Model inference runs in the European Union across Mistral AI, OpenAI's Europe deployment and Anthropic Claude models reached through Google Cloud Vertex AI, each under a zero retention agreement. The terms state that uploaded documents and prompts are never used to train models, and a dedicated clause addresses the avocat's professional secrecy under French law. The product is published by Odysai SAS, registered in Nanterre with offices in Paris, and has partnerships with the Paris, Hauts-de-Seine and Nantes bars. An individual plan is available self serve with a two week free trial; organization pricing goes through sales.
Josef is a no code platform on which in house legal and compliance teams build self service tools for the rest of the business. Teams can build AI question and answer tools drawn from their own policies and playbooks, automate contract and document generation, and set up workflows for legal intake and approvals. The AI module, Josef Q, answers only from content the customer uploads and says so when it cannot find an answer, and a moderation layer lets the legal team review, edit and change the sources of what a tool tells people. It connects to SharePoint, Confluence, Slack, Teams and Salesforce, and to legal systems including HighQ, Xakia, Dazychain and Actionstep. Data residency options cover the US, Europe, the UK and Australia. Josef Legal Pty Ltd is an Australian company, and named customers include L’Oréal, adidas, Bupa, Bumble and Orrick.
JUPUS is an AI secretariat for German law firms from JUPUS GmbH of Cologne. Its phone AI, Marie, answers calls around the clock, recognizes the area of law, the topic and whether the caller is a new client, an existing client or the other side, and prepares the client information. The platform adds digital questionnaires, an AI chatbot for the firm's website, an inquiry overview, online appointment booking and electronic signature, and creates a matter file in RA-Micro, DATEV or other practice software with one click. Its document AI and assistant, Jara, analyze documents, research case law and draft briefs, which the company says draws on training on more than a million judgments. The Terms include a professional secrecy agreement under section 43e of the Federal Lawyers' Act (BRAO) and a commitment that third party AI services are used without training on client personal data. JUPUS says more than 2,000 lawyers in Germany use it. Pricing is published: the AI secretariat costs 97 euros per user per month billed annually plus a 97 euro platform fee, the phone AI starts at 99 euros a month with 100 call minutes, and setup and training are free.
Jurimesh runs legal due diligence on a corporate transaction from the data room to the report. A seller's data room usually arrives unsorted. Jurimesh recognizes and classifies each document, maps it against the buyer's request list and shows what is missing, so the gap analysis happens before anyone starts reading. Agents then check every clause against a library the company describes as more than a thousand legal checks written by experts. They surface change of control provisions, uncapped indemnities, automatic renewals, expired insurance and drafting defects, each cited back to its source clause and schedule. The output is a due diligence report the deal team works on together, with assigned reviewers, review states and comments. Jurimesh connects to the data rooms deal teams already use, naming Ansarada, Virtual Vaults, HighQ and iDeals, and to Google Drive and SharePoint. It sells to M&A law firms, private equity and corporate development teams, holds ISO 27001 certification, and stores and processes all data inside the EU. Pricing is per Transaction, each covering the documents for one deal. Jurimesh is the product of Artificieel BV of Ghent, Belgium.
Jurisage TOA Builder is a web tool that builds tables of authorities for briefs filed in United States courts. A user uploads a finished brief, the tool finds every legal citation and groups the authorities, and the user reviews and corrects the list before downloading a formatted table to insert into the brief. Jurisage describes the citation finding and grouping as AI driven and says the tables follow court specific rules for many state and federal courts. It is sold per document with no subscription, and firms can prepay credits at discounted rates with central billing. A free demo runs on a built in test document. Jurisage says a task of two to four hours becomes a review of about ten minutes. TOA Builder is made by Jurisage Group Inc of Kitchener, Ontario, which also makes CiteRight, a citation and drafting platform for Canadian litigators with its own entry. Jurisage is joining Clio.
Jurisphere is a legal AI workspace for law firms and in house legal teams, operated by Coresphere100 Technologies Pvt. Ltd. of Greater Noida, India. It was founded in 2024 by Manas Khandelwal, Varun Khandelwal and Sumit Ghosh, and raised $2.2 million in May 2026 from Info Edge Ventures, Flourish Ventures, Antler and 8i Ventures. Ask Juris handles research, document review and drafting. Research runs over a database the vendor puts at more than 200 million documents from Indian courts, tribunals and regulators, with further coverage of the UAE, the United States, the United Kingdom, Canada, the EU, Singapore and Saudi Arabia. Around it sit Skills and Review Playbooks, Projects with member roles, a file library, translation across more than 22 Indian languages, List of Dates, Parallel Review, Redline Analysis, a Word add in and a mobile app. Named customers include ICICI Bank, Tata Capital, CMS IndusLaw and Argus Partners. The terms commit that customer content is not used to train any model. Seats are licensed per named user at fees agreed in writing, and a separate Network matches clients with independent lawyers.
Juristat is a patent prosecution analytics and workflow platform built on United States Patent and Trademark Office data, sold to patent law firms and to corporate IP, legal operations, IP strategy and finance teams. Juristat Analytics turns data on more than ten million patent applications into examiner analytics, prosecution strategy, cost forecasting, appeals benchmarking, portfolio management, competitor comparison, outside counsel scorecards and custom reports. Its AI-Powered Insight feature answers plain language questions from the USPTO dataset with quantified answers backed by sources. Office Action Strategy Briefs and Juristat OAR prepare and manage office action responses, and Juristat IDS generates and audits information disclosure statements by tracing patent family trees. A Data Layer with Model Context Protocol access supplies Juristat's structured patent data to customers' own AI systems. Juristat, Inc. is based in St. Louis, Missouri, and says it serves more than a third of the top hundred patent law firms, with named quotes from Sterne Kessler, Orrick and others. Pricing is by custom quote, with a Solo tier for one user at a single price. The company publishes terms of use and a privacy policy and has a trust center on Secureframe.
Juro is a contract lifecycle platform for in house teams, built so that colleagues outside legal can create and complete contracts within templates and workflows legal controls. It covers creation from templates, approval routing, negotiation, native electronic signature designed to meet advanced electronic signature requirements, storage and tracking. AI runs across it: AI Review for triage and redlining, AI Extract for pulling data from signed contracts, an AI Assistant for reviewing, summarizing and drafting, and Operator, an agent that answers plain language questions about the contract repository and cites its sources. A public Operator demo runs on the home page without signup. Integrations include Salesforce, HubSpot, Slack, Microsoft Word, Docusign, Google Drive, Zapier, a REST API, and MCP connections to Claude and ChatGPT. The vendor says its AI runs on OpenAI's GPT model provided by Microsoft on Azure servers. Juro publishes its agreements as dated downloads, including Master Services Agreements for customers in and outside the US, AI terms with version history, a data processing agreement, an EU Data Act addendum, API terms and evaluation terms. An open trust center covers the UK GDPR, the GDPR, the CCPA, the EU AI Act, the EU Data Act, security and responsible AI use.
Jus Mundi is a research platform for international law and arbitration. It is built on a database of awards, orders, decisions, judgments, treaties, laws and case materials. The company says the database is updated daily and drawn from more than twenty institutional partnerships, and primary documents are open through a free light version of its search. Its AI layer, Jus AI, launched in June 2023. It answers research questions with citations to the database, assesses arguments, compares cases across jurisdictions, and drafts, translates and analyzes. Each reasoning step is shown so a user can trace every citation to its source. CiteMap maps citation links between documents, and the AI Enterprise plan connects Jus AI to a firm's own documents. The company also runs Jus Connect, a directory and conflict check tool. Jus Mundi is a French company based in Paris, which closed a twenty million euro Series B in August 2024. Pricing is published per user, from twenty nine euros a month for individual academics to one hundred and twenty nine euros for practitioners. It states ISO 27001, ISO 42001 and SOC 2 certifications, with models served through Microsoft's Azure OpenAI Service.
Jusbrasil is a Brazilian legal information platform operated by Goshme Soluções para a Internet Ltda. of Salvador, Bahia. It indexes and republishes material from official gazettes and court systems, and describes its base as more than 1.2 billion legal documents covering case law, legislation, pleadings and articles. Its AI assistant for legal professionals, Jus IA, launched in March 2025 with three skills: conversational legal research over the database, drafting of pleadings and other documents from case details the user supplies, and analysis of references. The vendor says it uses established third party models alongside its own foundational model trained on its legal database, developed with the Brazilian company Maritaca AI, and that legal specialists calibrate the assistant continuously. Every reference Jus IA uses links into the Jusbrasil base, and at the end of each response the assistant checks the references it cited against the base and flags any it could not find. A separate assistant gives general information to people who are not lawyers and routes them to advocates on the platform. The terms of use state that no AI feature substitutes for a qualified lawyer.
Justia Elevate is the law firm website platform sold by Justia, the Mountain View, California legal information company founded in 2003 and led by Tim Stanley and Stacy Stern. Justia also runs a free legal information portal and the Justia Lawyer Directory. Its designers build each Elevate site on a WordPress platform tailored for lawyers, and the firm then edits pages and publishes blog posts itself. Every tier includes Justia AI Writer, which drafts practice area pages from a practice area, subtopic and target location, or writes freeform text blocks for the lawyer to review. Justia Chat, an AI virtual assistant, talks with site visitors in English or Spanish and emails each lead to the firm with a summary. The FAQs AI Optimization Tool proposes questions for the firm to answer, and the AI Visibility Report tracks how ChatGPT, Gemini, Copilot, Claude, Grok, Perplexity and Mistral describe the firm. Contact forms connect to Clio, Lawmatics, Law Ruler, Lead Docket, Litify and other intake systems. Elevate starts at $82.50 a month paid yearly across four tiers for firms of up to 12 lawyers, sold beside Amplify ads management and Premium Placements in the Justia directory.
JusticeText is an evidence review platform for criminal defense attorneys, built mainly for public defender offices by JusticeText Inc. It transcribes body camera footage, interrogation videos, jail calls, dashcam and courtroom recordings into searchable transcripts synced to the media, in more than 100 languages, and flags passages where transcription confidence is low. Its AI assistant, MirandaAI, answers questions across a case's evidence to build timelines and spot inconsistencies, and the platform produces summaries and key moments, reads PDF discovery, and compares documents against video. It supports proprietary evidence formats such as GTL jail calls and WatchGuard cameras, syncs multiple camera angles, and provides clipping, redaction and captioning for courtroom exhibits. Named users include the Kentucky Department of Public Advocacy and public defender offices in Harris County, Travis County, Santa Cruz County and Montana, as well as private defense firms. JusticeText's terms state that its AI transcripts are review aids that must be checked and must not be relied on directly as evidence. It does not publish pricing.
Kalinda is an AI intake agent for personal injury law firms from a San Francisco company founded by Sayan and Sohil Bhatia, two former AI researchers, and part of Y Combinator's Summer 2025 batch. It answers inbound injury calls within seconds and calls back web form, referral, missed and after hours leads by voice and text. It runs the firm's intake questions, qualifies the case against the firm's rules and sends the retainer for signature. The company launched with a different product, which extracted and summarized medical, financial and employment records to qualify claimants for class action and mass tort firms; its public website now presents only the intake agent.
Ketch is a data privacy management platform for privacy, legal and security teams, covering consent management, data subject request automation, data mapping, privacy risk assessments, preference and identity management and AI governance. A server side permission store carries a person's consent and preferences into every connected system. Its AI layer, the Ketch Agent Network, connects to a customer's systems and contracts, classifies data fields by sensitivity and purpose, and reads data processing agreements and subprocessor lists to extract what each vendor may do with data, citing the clause. It flags where a contract and a system configuration disagree and keeps the processing record current, and a regulations hub summarizes laws and enforcement actions by where a customer operates. Ketch Kloud, Inc. is a Delaware corporation based in San Francisco, with a free tier and paid plans whose Pro tier adds single tenant data residency. Its published agreement bars training on customer data, gives prior notice of compelled disclosure and commits to challenge unlawful government requests and to delete data thirty days after termination. It holds ISO 27001 and SOC 2 Type II and runs on Amazon Web Services in a multi tenant environment.
Nebula is KLDiscovery's ediscovery platform, covering discovery from ingestion and processing through early case assessment, review, analysis and production in one environment. The processing engine handles email, documents, images, audio and video, with deduplication, NIST filtering, language identification, machine translation and transcription in several languages. The review layer adds batching, automated routing through Nebula Workflow, reporting, redaction inside Excel files and automated redaction. The AI toolkit, Nebula AI, sits inside the platform. It provides document summaries, entity recognition, sentiment analysis, detection of personal and health information, and machine learning classification for predictive coding across TAR 1.0, TAR 2.0 and continuous active learning, along with email threading and near duplicate detection. The vendor frames the toolkit around defensibility: outputs link back to source documents, and all AI runs inside the review environment with access controls and audit logs. Nebula can run matters end to end or cut a data set down before moving it into RelativityOne. KLDiscovery Ontrack, LLC operates under the KLDiscovery, Ontrack, Nebula and Ibas brands, with offices in seven countries and data centers in eight cities across six countries.
Kleos Expert AI is the generative AI assistant built into Kleos, the cloud practice management software for law firms that Wolters Kluwer sells in Spain and across Europe, where it says more than 30,000 legal professionals use Kleos. Expert AI works on the documents a lawyer processes. It analyzes them, breaking down clauses, separating facts from arguments and finding inconsistencies; answers questions about their content; summarizes long texts; and extracts deadlines, obligations, clauses, arguments and dates. It reads Word, PDF, text, email and image files, up to five at a time within a 6 MB limit, and stores prompts and results in the firm's Kleos system. Analysis of a single document is available now, and analysis across a whole case file is announced as coming. Expert AI is included in the Advanced plan at 65 euros a month per user and the Advanced+ plan at 79 euros, not in the Core plan at 49 euros. Wolters Kluwer says client data is never used to train its unnamed technology partners' public models, and that the AI does not replace legal judgment. Kleos runs on Microsoft Azure, with EU customers' data stored in the EU.
Knovos Discovery is the eDiscovery platform of Knovos, a Fairfax, Virginia company founded in 2002 as Capital Legal Solutions and renamed Knovos in 2017. Gita and Dharmesh Shingala founded it and run it as a women and minority owned business. The platform covers processing, early case assessment, review with technology assisted review, redaction including native Excel files, analytics and production, and handles chat data from Slack, Teams and WhatsApp across more than 150 languages. Generative AI comes from Knovos Insight, a retrieval augmented engine shared across the Knovos products. It tags documents from natural language prompts with a rationale and confidence value, answers questions with cited excerpts, summarizes across languages and finds more than 150 types of personal and health information. Customers can plug in their own model from OpenAI, Google, Anthropic or a private source. It runs as Knovos Cloud SaaS, in a customer's own AWS, Azure or Google Cloud account, in its own data center including air gapped sites, or as Discovery Lite on a single laptop. Service providers can white label it. Licensing is a fixed annual fee per user or case with no per gigabyte hosting charge, or pay as you go.
Laurel, formerly Time by Ping, is AI timekeeping for professional services firms, operated by Time By Ping, Inc., doing business as Laurel, in San Francisco. It captures timekeepers' work across the applications they already use, including Outlook, Teams, Zoom, browsers and document systems such as iManage and NetDocuments. It groups the activity into time entries with generated billing narratives and checks them against each client's billing rules; timekeepers review and assign entries to matters before release. Further tools analyze project profitability and how work is split between people and AI. Laurel sells to law firms, with entries flowing into billing systems such as Aderant, Elite, Clio, ProLaw, SurePoint, Tabs3 and Juris, and to accounting and consulting firms, including Big Four practices. Named law firm customers include Tonkon Torp, Saul Ewing, Watson Farley & Williams, Obermayer and Lerners. Laurel describes its AI as firm specific, single tenant and running without public large language models, with customer managed encryption keys and in region storage, and states SOC 2 Type 2 and ISO 42001 certification. Its customer agreement and pricing are not published.
Law Insider is an AI contract drafting and review product from Law Insider Inc., run together with SimpleDocs, Inc. The About page announces that SimpleDocs acquired Law Insider, and the data processing terms describe SimpleDocs as a sister company that runs the Word add in's infrastructure. The SimpleAI add in reviews contracts inside Microsoft Word against playbooks, including a library of more than 40 standard playbooks, flags missing clauses and risks, and proposes redlines and alternative language that the user accepts or ignores. It also compares documents and answers questions about a contract through chat. A web AI Assistant drafts contracts and clauses. Suggested language is benchmarked against the company's public contract and clause database through a Law Insider Index score, and clause generation uses OpenAI models. The site also hosts the oneNDA, oneSaaS and oneDPA open contract standards. SimpleAI is sold per user, at $179 a month or $1,790 a year after a seven day trial, with enterprise pricing on request, and the company reports more than 10,000 customers worldwide.
Law Practice AI is AI software for plaintiff law firms, founded in 2019 and based in Woodland Hills, California. Its core products are Demand AI, which drafts personal injury and lemon law demand letters from a firm's own case documents with unlimited revisions, and Document Collector, which requests, chases and organizes medical records, police reports, repair orders and other files from clients and third parties by email, text and a client portal. The wider platform adds Case Summary AI for long records, litigation support, and an AI intake agent that answers calls, qualifies leads and schedules callbacks. It connects to CASEpeer, MyCase and SmartAdvocate, and syncs documents to Google Drive, OneDrive and Dropbox. The company says it is SOC 2 Type II, ISO 27001 and HITRUST certified and signs a business associate agreement with every firm, and it names Microsoft Azure AI as a provider of its AI services. The published plan costs $97 a month with one demand letter included and additional demands at $97 each, month to month, with custom pricing for high volume firms. The platform is also offered white labeled to Legal Soft's clients.
Law Ruler is a client relationship management, intake and marketing automation platform for law firms that take on leads in volume. It has material for personal injury, mass tort, criminal defense, consumer protection, business, Social Security disability, immigration and employment work. Its features are operational: a softphone with local presence dialing, two way SMS and MMS, prerecorded voice campaigns and email drip sequences. Intake forms qualify or disqualify inquiries as they are completed, and documents can be automated and sent for electronic signature by text. The AI is an integration: an AI Email Assistant and a ChatGPT integration through the OpenAI API, included on every paid tier, which draft emails, replies, intake questionnaires and onboarding documents for a person to review. Law Ruler says OpenAI does not train on API submissions and keeps API data for thirty days for abuse monitoring, and an administrator can switch the feature off. The platform is hosted on Microsoft Azure. Three tiers, Pro, Premium and Enterprise, are priced on a quote, with usage rates published in the customer agreement. Law Ruler Software, LLC is part of ProfitSolv, which also owns CosmoLex, Rocket Matter, Tabs3 and TimeSolv.
Lawcus is cloud practice management software for law firms from Lawcus Inc. of San Diego, covering matter and case management, client intake and CRM with appointment scheduling and marketing automation, document automation and electronic signature, time tracking, billing, trust accounting and more than 115 reports, with a client portal and a mobile app. Its AI layer, Nova AI, drafts emails, text messages, notes and matter and task descriptions and turns quick notes into time entry narratives. The Terms describe Nova AI as generative AI running on large language models hosted on Amazon Web Services, and a release note dated 31 October 2025 says it moved to Claude Sonnet 4.5. Nova AI is included from the Growth plan up. Integrations cover Microsoft 365, Outlook and Gmail, QuickBooks and Xero, LawPay, Dropbox, Box, OneDrive and Google Drive, Zapier, and intake partners such as Intaker, with API documentation published. Plans are priced per user per month on the website: Essential, Growth and Elite at $39, $59 and $79 billed annually, with Enterprise quoted for ten users or more and a private cloud option.
LawDroid is an AI legal automation platform for law firms, legal aid organizations, courts and government agencies, operating since 2016. LawDroid Builder is a no code platform for building client facing chatbots, conversational intake, document automation and online legal services from the firm's own workflows, templates, questions, logic and content, with natural language answers to common questions. It turns Word documents into templates with conditional logic, captures leads into case management systems, reports on client choices, and lets a person take over an automated conversation. LawDroid Copilot is an AI assistant for legal professionals covering case law research, document review and summaries, drafting, grammar and citation format checking, and brainstorming. At the Enterprise tier LawDroid builds and manages custom chatbots for firms with heavy website intake. The vendor pitches Builder as a way for firms to sell self service documents, issue spotting and legal guidance. Builder integrates natively with Clio Grow and Clio Manage; Copilot connects only through Zapier. Pricing is published: Copilot at $25 per user per month with a 7 day free trial, Builder at $99 per user per month, both month to month, and both together at $99 per user per month on an annual commitment.
Lawmatics is a client relationship management and marketing automation platform built for US law firms, founded in 2017 by a team including practicing attorneys and a cofounder who previously founded MyCase. Its intake forms embed on a firm's website and feed automated workflows, alongside lead and contact management, scheduling with round robin assignment, electronic signature, document and retainer generation from templates, task management and conflict checking. Marketing automation covers email and SMS drip campaigns, and attribution reporting shows which advertising channels and referral sources produce signed clients. QualifyAI, sold as a paid add on with credit bundles, scores incoming leads against firm criteria including practice area fit, case value and geography, and routes them. Integrations include two way sync with Clio Manage and MyCase, Microsoft 365, Google Workspace, Twilio, Zoom, QuickBooks, LawPay, Google Ads, Facebook Ads, Zapier, Make and a REST API on the Enterprise plan. Essential, Premium and Enterprise plans are priced per user with a three user minimum and annual contracts; the vendor publishes no figures. The stated target is firms of roughly three to fifty attorneys in personal injury, family, criminal defense, immigration and estate planning.
Lawpath is an Australian platform that handles legal, tax and compliance administration for small businesses in one place, without engaging a separate adviser for each task. Its core is a document builder: more than 550 templates drafted by Australian lawyers and supplied through a partnership with LexisNexis, generated by questionnaire, editable clause by clause in the browser, brandable, downloadable in Word or PDF, and signable with built in eSignature and an audit trail. Around that sit company and business name registration, ABN and trademark applications, trust setup, an ASIC compliance dashboard, a virtual office, and tax and accounting subscriptions. The AI layer, Atlas, is included on every plan, including the free one: it answers legal questions using the business's own details, drafts documents, reviews contracts for problem clauses, explains legal language and translates documents into thirty one languages. Plans are bought self serve: a free tier, an Essentials software plan, and a Legal Advice plan with unlimited lawyer consultations, which can be bundled. The lawyers work in a separate law firm, Lawpath Legal, and accountants in Lawpath Tax Advisory. All documents are stored and processed on Amazon Web Services in Australia. Lawpath Operations Pty Ltd launched in 2014 and is based in Sydney.
LawPro.ai reads the medical file on a personal injury case and turns it into the documents a firm builds a claim from. A firm uploads a client's records, and the platform sorts and indexes them and returns a categorized medical chronology, a case summary, an itemization of medical costs and drafted documents; the vendor says organizing an uploaded file takes under a minute. Named modules include TimeLineD for a searchable visual chronology, FileLens for seeing inside each file without opening it, Snapshot for injuries, treatments, medications and referrals at a glance, and SpecialsAI for identifying every medical cost. LegalDocs turns records into demand letters, mediation and arbitration statements and deposition preparation material, and Case Assistant answers plain English questions from the records with citations to the source. The vendor markets a proprietary framework called Hallucination Prevention Technology, described as patent pending and as checking that outputs are grounded in the documents before a user sees them. It is sold to personal injury firms and separately to healthcare networks and revenue cycle operations, through a browser, with a free trial.
LawToolBox, from LawToolBox.com, Inc. of Englewood, Colorado, does court rules deadline calendaring and matter management inside Microsoft 365. A user enters a trigger date and the platform calculates the dependent deadlines from the vendor's own rule sets, covering thousands of state and federal courts in the United States and Canada. It then syncs them to Outlook, Google or Apple calendars or to a case management system. Each matter gets its own Microsoft group, calendar, Teams space, SharePoint folders and OneNote. LawToolBox AI, licensed separately and running on Azure OpenAI in the customer's own Microsoft tenant, reads emails and attachments, including handwritten court orders. It extracts deadlines and appointments for the user to review before they reach a calendar, maps them to the civil rules behind them, summarizes documents and runs custom prompt libraries. The company also publishes Model Context Protocol connectors that let a firm's own assistant, in Microsoft 365 Copilot, Claude or ChatGPT, reach its matters and deadlines. Named integrations include Actionstep, MyCase, Smokeball, Filevine, iManage and NetDocuments, among others. Rates are published by firm size, and the agreement requires the firm to keep a second independent deadline system.
LawVu is a legal operating system for in house legal teams, built in Tauranga, New Zealand, since 2015 and marketed as LegalOS since June 2026. Its plans cover intake and triage, matters, contract lifecycle management, legal spend with electronic billing, reporting and a document repository, and LawVu says hundreds of in house teams in more than 30 countries use it. LawVu Intelligence adds an Assistant for the legal team that answers questions and updates records once a user approves, and a legal assistant for business users in the Business Portal. It also adds an agentic workflow builder sold as an add on, and contract and invoice extraction with billing guideline review. LawVu Lens analyzes executed contracts with citations to the source, and LawVu Draft, formerly ClauseBase, drafts and redlines in Microsoft Word against the customer's playbooks. The AI runs on Microsoft Azure AI Foundry and Azure OpenAI, and each customer chooses a data region in Australia, the United States, Europe, Canada or the United Arab Emirates. LawVu publishes its SaaS terms, AI service terms, data processing addendum and subprocessor list, and its terms bar third parties from training on customer data. A Power Platform connector, an MCP server and a REST API connect it to other systems.
LawX is a German practice operating system for notaries' offices and law firms that runs a matter from opening to invoicing. It creates the matter and pulls party details from official registers, prepares deeds and drafts from the firm's own templates in Word, reads land register extracts, handles execution and export to XNP, and raises the invoice. Email is assigned to matters automatically, with interfaces to the commercial register and Microsoft 365. The AI works across those steps: it checks entries for gaps, suggests wording, proposes next steps and prepares execution, on the stated principle that the professional approves before anything happens. Partners add accounting with a DATEV interface, an AI telephone assistant, money laundering checks and notary escrow accounts. The price is 159 euro per license per month on annual payment, with onboarding, data migration and support included. Accounts are hosted in German data centers certified to ISO 27001 with a BSI C5 attestation, and LawX says its own ISO 27001 certification is in preparation. It is listed on the Federal Chamber of Notaries register of notarial software. LawX GmbH, based in Berlin, raised a 7.5 million euro seed round led by Motive Partners in May 2026.
LBOX is a Korean legal research and AI platform built on a database of South Korean court judgments, statutes and administrative rules, used on the web and by mobile app. Its AI agent, LBOX AI, runs the whole task itself. It reads the question, searches, checks what it finds and writes the answer, with linked citations to the cases and statutes it relied on. Access to the agent is limited to verified legal professionals, recognized courts and public bodies, and staff working under a qualified professional's supervision. The company states that queries and uploads are deleted once an answer is produced and are not used to train models. Plans run from an individual Standard plan to firm, law school and public sector plans. LBOX Co., Ltd. is based in Seoul and led by its founder Lee Jin.
Lead Docket is intake and lead management software for law firms. It covers the stretch from a prospective client's first contact to a signed retainer. Leads from web forms, calls, chat and referrals land in one queue. The platform captures the contact, sends personalized follow up emails and tasks automatically, and tracks each opportunity through vetting to signing. Its AI layer, LeadsAI, reads intake documents, summarizes lead details, messages and notes, and scores each lead for viability as soon as it opens. Referrals run as their own workflow, with templates that let a receiving firm accept or reject a case and scheduled follow ups so referral fees are chased. Reporting shows which advertising sources and campaigns produce signed cases and what each one costs. Retainers and payments can be collected inside the platform, and signed leads move into Filevine matters without entering the data twice. Lead Docket is a Filevine product, sold under its own name on its own site. It is governed by Filevine's subscription agreement, which covers Filevine, Lead Docket, Outlaw and Vinesign together. Pricing is quoted rather than published.
Leah, formerly ContractPodAi, is an agentic platform for contracting, legal, procurement and finance work at large enterprises. The contract lifecycle product covers guided intake, review and redlining in Microsoft Word against playbooks, approval routing with automatic escalation, and signing through built in DocuSign and Adobe Sign. A searchable repository tracks obligations and sends renewal alerts. A legal helpdesk answers contract questions with sources attached. Around the contract product sits what the vendor calls the Agentic OS. It is an orchestration layer that assigns work to agents for legal, contracting, procurement and finance, with a no code builder for workflows and apps and Leah Maestro as orchestrator. The vendor leads with its governance model. The customer sets which agents may act, on which data, within which limits and where escalation is required, and every action is logged with its rationale, governing policy and outcome. Leah runs on several large language models chosen per task, and a private environment in Azure OpenAI Studio is available for full isolation. Integrations include SAP, NetSuite, Coupa and Okta. Leah is a product of ContractPod Technologies Limited of London. PwC, Epiq, Integreon and Pinsent Masons are partners that deliver or resell it.
LEAP is a cloud practice management platform for small and midsize law firms, sold at one subscription price. It combines case management, document automation with forms and templates for each jurisdiction, legal and trust accounting, billing and online payments, and a client portal with intake forms, scheduling and electronic signing. It has four AI features, introduced in July 2024. LawY is a legal research assistant that answers questions from a knowledge base for each jurisdiction, with the option of having an answer verified by a practicing lawyer in the user's state. Matter AI is a chat over the emails, documents and data in a matter, including scanned and handwritten material. LEAP Generator and a prompt library draft documents, letters and forms from matter details, and AI assisted time recording logs activity for billing. Integrations include Microsoft 365, Xero, QuickBooks, InfoTrack, WealthCounsel, LawConnect, Power BI, DecisionVault and Lawmatics. LEAP Legal Software was founded in Australia and operates in Australia, New Zealand, the United Kingdom, Ireland, Canada and the United States. Its US business is headquartered in Jersey City, New Jersey and backed by Serent Capital, and it states more than 61,000 lawyers on the platform.
Learned Hand is a case preparation platform for judges, law clerks, staff attorneys and court staff, developed by Learned Hand, Inc. of New York. A judge or clerk uploads a case, or connects the platform to the court's case management system. The software extracts the facts, maps the disputed issues and structures the parties' arguments. It analyzes them against the procedural standard for the motion type, such as summary judgment or postconviction relief. It then produces a first draft order whose citations link back to the record. Every statement can be clicked through to its source, and the draft can be edited in the platform or exported to Word. A companion product, The Red Pen, checks the citations in filed briefs. It tests whether each cited case exists, whether the pinpoint is right and whether the holding supports the proposition, and marks every citation red, yellow or green. The company describes itself as built exclusively for the judiciary. It says its technology is used by the Michigan Supreme Court and trial courts in ten states, and the Superior Court of Los Angeles County began a pilot in 2026. No parent company is named on the company's own materials.
Legal Decoder analyzes legal invoices for corporate legal departments, law firms and bankruptcy fee examiners. Its technology reads the billing narrative itself rather than the UTBMS code and breaks each line item into structured data. Each item is checked against more than 45 proprietary compliance flags grouped into staffing efficiency, workflow efficiency and billing hygiene. A reviewer can see block billing, skill set mismatches, internal conference time, file churning and vague entries for each line item. Compliance Decoder enforces outside counsel guidelines and flags billing anomalies before invoices are approved. Pricing Decoder benchmarks rates and builds pricing and budget models from historical invoice data. Aperture, released in 2026, is a natural language interface over the same structured data. AI agents work out which data and calculations a question needs, a separate deterministic engine does the arithmetic, and identifying fields such as matter, client and attorney names are tokenized before anything reaches the model. The company publishes retrospective analyses of public Chapter 11 fee applications, including the Allied Nevada Gold and Toys "R" Us cases. Legal Decoder, Inc. is a Delaware corporation based in Falls Church, Virginia.
Legal Tracker is Thomson Reuters' legal spend and matter management platform for corporate legal departments, built on the earlier Serengeti Tracker. It is sold in two tiers, Legal Tracker and Legal Tracker Advanced, and the Advanced tier carries the generative AI features. Core functions are electronic billing with enforced billing guidelines, matter management, budgeting, rate management, workflow automation, outside counsel collaboration, invoice approvals and reporting. AI invoice review converts non LEDES invoices to LEDES format, detects duplicate line items, flags excessive timekeeper hours and helps audit block billing, and a plain language interface answers spend questions. Benchmarking draws on aggregated data the vendor describes as covering 1,800 law departments, 120,000 law firms and $230 billion in legal spend. Named integrations are Microsoft Outlook and Microsoft Teams. The vendor states that 164 of the Fortune 500 and 343 of the Fortune 1000 use the product. Thomson Reuters publishes company level AI Principles and a Legal Tracker data security and certification guide.
LegalBridge is an immigration case management platform from LegalBridge Technologies Inc. for immigration law firms, from solo practitioners to large firms, and for corporate global mobility teams. It runs a case from first contact to filing. A website evaluation gives prospective clients a visa eligibility assessment from a résumé and books consultations. The platform handles retainers, electronic signature and payments, and offers a client portal with questionnaires in several languages. AI pulls passport and identity data into intake, sorts evidence and flags missing documents, and drafts petition, support, recommendation and RFE response letters in the firm's own style. The platform assembles exhibits and fills USCIS, Department of Labor and DS-160 forms for filing. It covers employment, family and humanitarian US immigration cases. The AI runs on named providers, OpenAI, Anthropic and open weight models through AWS Bedrock, and the agreement forbids training on customer data. A free plan is published; paid plans are quoted on request.
LegalClerk.ai is an AI voice receptionist that answers a law firm's phone. Calls forward to a number issued to the firm, and the system answers on the first ring, at all hours or only during the hours the firm chooses. It works from an intake script the firm writes in plain English. It asks the qualifying questions a receptionist would ask, records the answers in structured fields, books consultations in a connected calendar, transfers priority callers, takes messages and escalates anything the firm has marked urgent. Question flows are published for each practice area; for personal injury it detects the accident type, timestamps the incident against limitation periods and flags the strongest matters for a priority callback. Every call is recorded and transcribed, and the firm receives a written summary and a lead profile that syncs to Clio, MyCase, Lawmatics, PracticePanther, Google Calendar and Calendly, among more than thirty five stated integrations. Pricing is published at 400 dollars per seat per month for unlimited AI calls with no setup fee. The product is operated by Better Financial Corporation trading as LegalClerk, with contractual notices addressed to a Slovak entity in Bratislava.
LegalFly is a Belgian legal AI platform for in house legal teams and the business functions they serve, sold to regulated enterprises in banking, insurance, manufacturing, technology and professional services. Six products share one workspace. Discovery takes a question or task in plain language, researches it against legal sources and the team's own documents, produces Word, Excel or PowerPoint output, or routes the request to a specialist agent. Review checks contracts against playbooks and writes redlines, and Draft builds first drafts from approved language. Multi Review reads hundreds of documents at once for diligence and audits, Legal Radar monitors regulators across more than 70 jurisdictions, and Agent Studio builds workflows that start from email, Slack or Teams. Playbooks, built from a team's guidelines or its golden contracts, carry approved clauses and fallback positions into every review. Every document is pseudonymized before a model sees it, and the anonymization component can run inside the customer's own environment. The company was founded in Ghent by four former AI leaders at Tinder.
LegalMation is an automation platform for high volume litigation and claims defense, run by LegalMation, Inc. of Los Angeles and launched in 2018. It is sold to corporate legal departments, law firms from AmLaw practices to litigation boutiques, and insurance carriers with staff counsel. It has eight modules: Complaint Response, Discovery Response, Subpoena Response, Demand Letter Response, Deposition Assistant, Case Summaries and Reports, Matter Profiling, and Data Analytics. The core workflow is drafting: a user uploads a complaint, and the system answers each allegation, generates affirmative defenses and produces a draft answer and other responses tailored to the filing jurisdiction. Users either select an answer for each allegation themselves or review answers the system drafts from the organization's own past responses, and customers can submit work samples so output follows their guidelines. A demand letter capability launched in April 2024, starting with EEOC complaints. The customer agreement is not published, and the privacy policy excludes customer legal documents from its scope. Named users include Walmart, Ogletree Deakins, Fisher Phillips, Baker Donelson, Nelson Mullins and American Integrity Insurance Group, and the vendor says it processes over 100,000 matters a year.
LegalOn is a contract review and legal workflow platform for in house legal teams, legal operations, procurement, contract management and sales, with a law firm edition. Review runs a contract against attorney written playbooks, ranks each issue low, medium or high and writes redlines in Word or the browser. More than 135 prebuilt playbooks cover common agreements by contract type and negotiating position, and the Playbook Agent turns a team's templates, guidelines or past redlines into playbooks of its own. Assistant answers questions about contracts. Matter Management takes requests from email, forms and Slack through intake and triage agents, Vault stores signed agreements and extracts terms, obligations and renewals, and Translate works across 28 or more languages. Entity and board management sit on the same platform. Plans run from Core Review for a solo attorney to a Productivity Suite for a whole department. Two corporate lawyers founded the company in Japan, and it now has headquarters in Tokyo and San Francisco, more than $200 million in funding and more than 9,000 customers.
LegalSifter is an AI contract review company. Its software product, ReviewPro, reads a contract inside Microsoft Word or Google Docs and flags risks and missing terms against a playbook. It uses more than two thousand pretrained machine learning classifiers the company calls Sifters, and applies generative redlines with one click. Standard playbooks written by lawyers for NDAs, goods and services agreements, master services agreements and SaaS agreements are included, and customers can build their own. The company also sells managed services around the software, including playbook customization, managed redlining, contract data extraction and contract operations as a service. It owns Contract Logix, a contract lifecycle management platform hosted on Microsoft Azure, and sells full review by a lawyer as a separate offering. LegalSifter, Inc. is a Delaware corporation headquartered in Pittsburgh, Pennsylvania, operating since 2013 with customers in eighteen countries. It states plainly that it is not a law firm and does not provide legal advice. ReviewPro is priced per contract of up to ten pages, at 80, 72 and 65 dollars on the Basic, Team and Enterprise tiers. Organizations can choose whether OpenAI or Google Gemini processes their contracts.
LegalVIEW BillAnalyzer reviews outside counsel invoices for corporate legal and insurance claims departments. It checks line items against the department's own billing guidelines to find errors, enforce compliance and reduce spend. Its engine is a patented machine learning model trained on LegalVIEW, which the vendor describes as the world's largest legal performance dataset, at more than $230 billion in benchmark and invoice data. The model reviews over $5 billion in invoices a year. Every decision comes with a plain English explanation and a citation to the guideline relied on. The department sets whether the AI recommends an adjustment, applies one on its own, or must hand the item to a person. It is sold in three tiers off the same engine. Invoice Review Agent is agentic AI running inside TyMetrix 360. Data Service adds expert support for tuning and spend analysis; Expert Service hands invoice review, appeals and law firm engagement to Wolters Kluwer's bill review team. Reviewer decisions feed back to refine the model. It was introduced in 2017, is covered by a granted US patent, and comes from Wolters Kluwer ELM Solutions, which also offers TyMetrix 360 and Passport.
Legalyze is an AI medical record review and chronology platform for plaintiff personal injury, medical malpractice and workers compensation practices. It is positioned as pure software, and the vendor says having no human in the loop is what keeps its costs low. Chronologies are generated from uploaded records at a stated ten pages per minute, broken down by visit type; the vendor says a thousand page file drops from fifteen to twenty hours of manual review to about two. Each medical event links in one click to the exact page in the original record. Case Chat answers plain English questions about the records, with each answer cited to its location in the source. The platform flags missing records, treatment gaps, prior injuries and inconsistencies. It accepts Word documents, PDFs, images and spreadsheets, including handwritten, scanned and electronic health records. It integrates with Smokeball and CASEpeer, and a free trial is available. The vendor says it never uses customer data to train its models, has business associate agreements with its AI providers, encrypts all data and stores it on servers it controls. Independent material reports pricing by page volume, starting around $500 a month for 2,000 pages.
LegalZoom is an online legal platform for small businesses and individuals. It sells business formation and compliance filings, registered agent service, trademark and copyright filings, legal forms, estate planning documents and attorney plans. LegalZoom.com, Inc., listed on Nasdaq and based in Mountain View, California, states that it is not a law firm; attorney services come through independent attorneys and, where authorized, its subsidiary law firm LZ Legal Services, LLC. Its AI features include Doc Assist, a free document summarizer, a business name generator, a grant finder, an expense categorizer and AI research for business licenses. It also publishes a catalog of 24 MCP tools that let assistants such as ChatGPT, Claude and Microsoft 365 Copilot form LLCs, analyze documents against a clause framework curated by attorneys and book attorney reviews. Formation packages are priced publicly from $0 plus state fees. The assessment covers the platform and its AI features, not the attorney services.
Legartis is a legal AI workspace for contract work, sold to in house legal departments and the procurement and sales teams around them rather than to law firms. It reviews contracts against playbooks the customer defines, drafts and edits from those playbooks, and answers legal questions and translates through a Legal Agent. Since September 2026 the Legal Agent also runs agentic workflows, from incoming requests and review through negotiation, approvals, reporting and signature, within boundaries the customer sets. Dashboards surface risks, deadlines and critical clauses across a whole contract portfolio. A Playbook Creator Agent builds a playbook for a contract type in hours rather than weeks. AI Quality Scores show how reliably the system detects each requirement, and customers tune them by correcting the system's work in test sets. It runs in the browser and inside Microsoft Word, offers a REST API and an MCP integration, and supports every European language. Hosting is in Switzerland and Europe, and the company states it is ISO 27001 certified. Its main pricing page lists a free plan covering two NDAs a month and a Team to Enterprise plan priced on request. A separate plans page lists Professional at CHF 2,500 and Team at CHF 3,000 per user a year, with custom Enterprise terms. Excluding customer data from model training is offered only on the Team and Enterprise plans. Legartis Technology AG is based in Zurich.
Legau is a legal drafting platform that runs inside Microsoft Word and Outlook, covering research, planning, creation, review and translation across all document types rather than contracts alone. It was founded in 2021 by attorneys in Lisbon and launched in the United States at ILTACON in August 2024. The product connects to a firm's document management system, with support published per pricing tier for SharePoint, OneDrive, iManage, NetDocuments, Google Drive and Dropbox. It retrieves from its own court decisions database and legal papers engine alongside the firm's own documents. An add on called the Advanced AI Layer runs a model specific to the firm inside the firm's own infrastructure. Five law firm customers are displayed by logo on the homepage, including PLMJ and Morais Leitao. No parent company is stated on the site.
Legisway is legal department management software from Wolters Kluwer for corporate legal teams. It keeps contracts, legal entities, claims and litigation, powers of attorney and deeds, privacy and risk, vendors, intellectual property and real estate in one system. Legal ticketing takes requests from the business, and document generation, workflows and eSignature run around it. Legisway Expert AI, included in every package, answers questions about documents and matters, summarizes, rewrites in plain language and compares up to ten contracts in a table, using Azure OpenAI in Sweden. Its terms bar training on customer input. Legisway Analyzer captures key data from uploaded contracts for a user to validate, and its own terms let Wolters Kluwer train it on customer data weekly. Legisway Advisor, launched in February 2026 and also sold on its own, reviews contracts in Word against the customer's playbooks. Data is hosted on AWS in Germany with backups in Ireland. Legisway began as a French startup that Wolters Kluwer acquired in 2019, and Wolters Kluwer says more than 900 legal departments and 130,000 users in Europe use it. Legisway Meetings, launched in Germany in 2026, adds board meeting management. UK packages start at €8,000 a year.
Legito is a no code document automation and contract lifecycle management platform for legal, procurement, HR, finance and other back office teams, operated by Legito s.r.o. of the Czech Republic. It combines interactive document templates, lifecycle management with routing and approvals, a no code application builder, and an electronic signature product offered at no fee. Its AI layer, Kedy AI, is positioned as complementing rule based automation rather than replacing it. Kedy AI extracts metadata from documents, drafts by placing data from emails and other text into automated templates, converts Word documents into templates, runs lifecycle operations by conversation, and offers agents for recurring workspace tasks. Legito states that Kedy AI is hosted entirely on its own servers, that no third party service processes customer data in AI, and that customer data is never used for AI training. Optional integrations with OpenAI, Anthropic Claude and Google Gemini are offered as alternatives. Customers choose a storage region in Virginia, Germany or Australia. The company holds ISO/IEC 27001 certification issued by Lloyd's Register. Named users include PwC, Deloitte Legal, Holland & Knight and two New York district attorneys' offices.
Legl is a client onboarding, anti money laundering and payments platform for law firms, operated by The Justice Platform Ltd of London and used by more than 600 firms in the United Kingdom and Australia. It covers onboarding workflows, due diligence on individuals and businesses, source of funds, digitized risk assessments, ongoing monitoring and client payments, with a compliance dashboard for money laundering reporting officers. Its AI layer, Risk Agents, is one of three platform pillars. The agents gather and parse documents, structure screening data, and go back to the client for missing information. They read bank statements for income, large single payments and higher risk activity, and analyze trust deeds for trustees, settlors and beneficiaries. Screening matches come with a recommendation, a confidence level and supporting evidence. A governance layer turns a firm's risk policies into rules the agents enforce, escalating high risk factors to a named reviewer, and the vendor states the decision stays with the reviewer. Legl is on the UK Digital Verification Services register, holds ISO/IEC 27001 certification, and publishes a dated list of sixteen subprocessors. It integrates with iManage, NetDocuments, Clio, Elite 3E and UK practice systems. Named users include Lewis Silkin and Michelmores.
Legora is an agentic operating system for law firms and in house legal teams, built so lawyers, agents and clients work in one place. The Agent plans, carries out and checks multistep legal work across documents, email, research and data rooms, and Skills encode a team's own standards. Tabular Review turns large document sets into a grid with a source behind every cell, and legal research is verified against primary law. Word and Outlook add ins, an editor, Monitors for regulatory change, Lists, Intake and Portal, for delivering work to clients under the firm's brand, sit around them. It was founded in Stockholm in 2023 as Leya, took the Legora name in February 2025, and in 2026 bought the Swedish legal research company Qura and the company Wexler. In September 2026 it announced a rebuilt research layer with its own citator, in limited beta. Legora counts more than 1,800 teams in over 50 markets and publishes its general terms, data processing agreement, security measures annex and subprocessor list openly.
Lex Machina is a litigation analytics platform that turns court records into structured data on how judges, courts, counsel, parties and expert witnesses have behaved. Proprietary machine learning reads filings, extracts findings, damages, resolutions and timelines, reads signature blocks to identify and group firms, attorneys and parties, and fills gaps the docket leaves, with lawyers reviewing the output before it becomes data. Coverage as of April 2025 is 45 million documents across more than ten million cases and over 8,000 judges and 6,000 expert witnesses, spanning all 94 federal district courts, the 13 courts of appeal, the PTAB, specialty venues and a set of enhanced state courts, plus 18 million state cases used for party analytics. Modules cover state court motion metrics across more than 40 motion types, court timing, legal findings, federal civil appeals since 2012 and class actions. An API is available. Generative querying comes through Protégé, the LexisNexis AI assistant. Lex Machina is a LexisNexis product, part of RELX, follows the RELX Responsible AI Framework, and states it never uses customer data to train AI models.
Lexbe is a cloud eDiscovery platform for law firms, corporate legal departments and managed review providers, sold by Lexbe Inc. of Austin, Texas, which was founded in 2006. The Lexbe eDiscovery Platform takes a matter from upload and processing through review, redaction and production, with privilege logs, Bates stamping, near duplicate grouping, email threading, Bayesian predictive coding and translation across 75 languages. Three generative AI tools sit on top. CoPilot summarizes, pulls out entities and dates, finds personal and health information and translates inside the document viewer, linking each answer to its source. Pilot answers questions across a whole case and writes a Strategic Case Insights Report with a timeline, entity index and issues matrix. AutoPilot codes documents for responsiveness and privilege one at a time, returning a rationale and a confidence rating, and runs as a paid service set up by Lexbe staff. The models come from OpenAI and Anthropic. Pricing is by gigabyte hosted, with unlimited users and CoPilot and Pilot included. Lexbe also sells digital forensics and managed eDiscovery services.
LexCheck is AI contract review software that applies a company's own negotiation positions to incoming contracts and returns an issues list and proposed redlines inside Microsoft Word. Its playbook builder captures preferred positions from an uploaded template, and the customer reviews and edits the playbook in a self serve platform, adding fallback positions and adjusted language. Review flags language that departs from those positions, explains why each passage needs attention, and proposes redlines. The two named products are LexCheck Insights, for review and playbooks, and LexCheck Copilot. The platform works alongside a contract lifecycle management system rather than replacing one, covering the negotiation stage. It sells to legal, sales and procurement departments, global enterprises, high growth businesses, private equity firms and law firms, and publishes case studies with NetApp and RSM. LexCheck was founded by Gary Sangha, who earlier founded Intelligize, and is based in New York; it raised a $17 million Series A led by Mayfield Fund and a later round led by Ulu Ventures. It runs on Amazon Web Services in Northern Virginia and Oregon, with customer data stored and processed in the United States, and states it holds SOC 2 Type II. Its terms, data processing addendum and privacy policy are all published.
Lexi is an AI workspace for legal work from a Y Combinator company with offices in the United States, India, Australia and Singapore, sold to law firms, in house teams, corporate legal departments and litigation practices. Client onboarding turns scattered emails, meeting notes and documents into organized case files, and a meeting tool captures action items. Lexi drafts letters, motions and contracts in a firm's own voice, reviews contracts for risk, and runs tabular review to pull answers from hundreds of documents at once. Research finds precedents, statutes and case law with citations, chronologies turn documents into timelines, and translation covers more than 100 languages. The assistant learns each account's preferences and writing style, and a Chrome extension carries it into the browser. Lexi reports more than 20 million documents processed across 200,000 cases for more than 1,000 organizations and law firms. Data is processed in the cloud by default, with on premises deployment available on request, and prices are quoted after a call.
Lexis+ AI is LexisNexis's generative AI product for legal research, drafting and summarization, built on the Lexis+ research platform. It became generally available to US customers in October 2023. It offers conversational search, drafting, summarization and document upload. Answers are grounded through a proprietary retrieval platform in LexisNexis content, including case law reviewed by Shepard's editors, statutes and Practical Guidance. Citations are linked in the answer and checked against Shepard's Citations, and a user can submit a citation to be checked. The product was developed through a preview from May 2023 with global law firms, corporate legal departments, small firms and US courts. LexisNexis runs a SafeBase trust center at trust.lexisnexis.com and says an independent auditor performs an annual SOC 2 Type 2 examination of Lexis and Lexis+ across all five Trust Services Principles. Governance follows the RELX Responsible AI Principles. The product was marketed as giving citations free of hallucination, a claim an independent preregistered Stanford study later tested and contradicted. LexisNexis Legal and Professional is a RELX company.
Lexlegis.ai is an Indian legal AI platform operated by Lexlegis Solutions Private Limited of Mumbai. It is built on a curated, closed collection of Indian laws, circulars and judgments. Its live product, Legal AID, has three parts. Ask answers questions on direct tax, indirect tax, corporate law and general laws in the IRAC format, with the sources relied on listed and explained. Interact lets a user upload contracts, orders and notices and query across them. Draft produces contracts, submissions, written and oral arguments, and authority bundles. MIRA is an agent that builds a plan from a library of 215 production skills and checks its reasoning against a verification layer before producing output. Five deployment modes run from multi tenant software as a service hosted in India to on premises and fully air gapped installations. The terms commit that customer content is not used to train shared models. Legal AID is sold on published subscriptions per user, with a seven day free trial for legal and compliance professionals. Named customers include KPMG, Dhruva Advisors, Thermax and the Government of India.
Lexroom is an AI research and drafting platform for legal professionals in continental Europe, sold in Italy, Spain and Germany and working entirely in the local language. Legal research is its core: questions are asked in plain Italian, and every statement in the answer links back to the original source, which the user can open, verify and download. The sources are curated rather than scraped, drawn from institutional legal sources and organized into more than fifteen subject modules validated by partner jurists, and customers buy the modules they need. Document analysis summarizes filings and contracts and flags problem clauses, and drafting produces documents from the firm's templates or Lexroom's inside Microsoft Word through an add in. A private library lets a customer upload its own filings, doctrine and policies to personalize output. Buyers include law firms, advocates, notaries, accountants, labor consultants, in house teams and public administration. Processing runs on servers in the European Union, with the principal server in the Netherlands, and Lexroom names Google and OpenAI as its AI providers. Named customers include Satispay, Fastweb, Italgas, CRIF, Withers and the law firms LCA and Gatti Pavesi. Lexroom S.r.l. is based in Milan.
Lextel AI is an AI legal research and drafting platform for Italian lawyers, built on a legal database of more than 8 million documents updated daily. The database holds about 4.8 million court decisions, from the Court of Cassation, the Constitutional Court, the Council of State, administrative and tax courts, merit courts and the EU Court of Justice. It also holds 2.1 million legislative texts, 0.3 million items of regulatory practice and 0.8 million works of doctrine, including notes from Il Foro Italiano. Deep Legal Search runs an AI research pass across the whole database and returns a sourced report, beside a quicker Legal Overview mode and keyword and citation search. The platform drafts nine types of court filings and legal opinions from material a lawyer selects, proposes replies to an opposing brief, and adds case law to a lawyer's own Word draft. It is sold to individual lawyers, law firms, in house counsel and public administration lawyers, with a 7 day free trial and published monthly prices. The service is hosted in Europe on managed Google Cloud services. Lextel AI S.p.A. of Rome is controlled by Tinexta Visura S.p.A., part of the Tinexta group listed on Euronext STAR Milan.
Libra is an AI workspace for legal professionals that brings research, drafting and document review into one chat based environment. In Research mode, answers cite the legal databases they draw on, and each citation opens the passage behind it. Assistants and Workflows automate recurring tasks. Review checks a contract against a firm's playbook and rates the risk on each topic. Discovery asks the same questions across hundreds of documents and returns a table with citations. Add ins bring Libra into Word and Outlook, and connections to SharePoint, OneDrive and Wolters Kluwer's Kleos practice management software let it work on files where they live. Content comes from Wolters Kluwer's national research platforms, Otto Schmidt and Stämpfli commentaries and official sources such as EUR-Lex. The models come from Anthropic and OpenAI. User data is stored in Germany, and AI processing stays in Europe. Libra is sold to law firms, in house legal departments and solo practitioners in eleven European countries, and named users include dm, Taylor Wessing, NEON and CRIDO. Libra Technology GmbH of Berlin, founded in 2023, was acquired by Wolters Kluwer in November 2025 and is sold as Libra by Wolters Kluwer.
Lighthouse is an eDiscovery, review and information governance company founded in 1995 as a Seattle document copy shop. It contracts as Lighthouse Document Technologies Inc. of Bellevue, Washington, with Lighthouse Global Europe Ltd in London. Funds affiliated with Lightyear Capital took a controlling stake in 2019, and the group holding entity is Lighthouse Holdings, LLC. Alongside forensics, managed review and consulting, it sells software. LighthouseIQ, launched in January 2026, has four AI applications. IQ Answers answers questions in plain language only from a matter's documents, with cited source passages, and IQ Case Strategy builds chronologies, timelines and deposition preparation. IQ Review codes for responsiveness and issues with predictive and generative AI and delivers the results into Relativity, and IQ Priv identifies privilege and generates privilege logs. Spectra is a self serve eDiscovery platform over Relativity under a published subscription agreement. Lighthouse says LighthouseIQ outputs have been accepted by the DOJ and FTC, and that its AI workflows run in a private Azure environment, retain no customer data and train no models on customer content. Lighthouse holds ISO 27001 certification from A-LIGN and SOC 2 for its United States operations.
LinkSquares is contract lifecycle management software for in house legal teams, made by LinkSquares, Inc., founded in Boston in 2015. Its platform covers intake through a Legal Front Door, drafting, review and approval in Finalize, a signed contract repository in Analyze, task prioritization in Prioritize and electronic signature in Sign. In May 2026 LinkSquares relaunched the product as an all agentic platform, generally available from June, where agents draft, redline, research and write stakeholder communications. LinkAI, the engine underneath, combines in house extraction models trained on more than 10 million contracts with outside language models. It pulls more than 100 Smart Values such as renewal dates, governing law and liability terms from every agreement. The AI Legal Assistant redlines against a playbook as tracked changes, drafts amendments and answers legal questions with citations, and a risk agent rates clauses from 0 to 100 against weighted criteria. LinkSquares connects to Salesforce, Slack, Microsoft Word, DocuSign, Adobe Sign and cloud storage, and offers a REST API and a connector for Claude. It runs on AWS in the United States. Its SaaS Terms of Service let LinkSquares train its models on client data in aggregated and anonymized form. Prices are quoted, and LinkSquares counts more than 1,200 customers, among them DraftKings, TIME and ProPharma.
Lisia is an AI legal research tool for Italian case law. A lawyer types a question in plain language, and Lisia returns the full judgments and maxims it ranks as most relevant, highlighting the passage in each judgment where the answer is found. The company describes the technology as natural language processing over a proprietary semantic and vector search system, refined through user ratings of each answer. The database was built for the product and holds more than 6 million full judgments and maxims, updated weekly. About 2 million come from the Court of Cassation over 35 years, 2.2 million from tribunals and courts of appeal over 15 years, and 1.8 million from the regional administrative courts and the Council of State over 15 years. Searches can be saved in folders by client or case. Lisia is sold self serve per user to independent lawyers, law firms and in house legal teams, with a 14 day free trial, and the company reports more than 1,000 lawyer users. No hosting location is published. Lisia is operated by Valeo Legal Solutions S.r.l. of Rome, and the project was partly funded by the European Regional Development Fund.
Litem, from Deposely, Inc. of Bellevue, Washington, is a litigation platform that works across the life of a case. It begins in discovery, assists in real time during depositions, and extends into later phases with agentic features. It analyzes transcripts and testimony so a litigator preparing for or following a deposition can find the admissions, inconsistencies and threads that matter without reading every page. Litem Facts covers the wider case record and Litem Agent covers agentic work in later phases. Separate offerings handle integrations and court reporting agencies, which are a second buyer alongside law firms. The master services agreement states that Deposely will not train AI models on customer data, and the security page points to that clause. The agreement also requires attorney users to be licensed and in good standing in the United States, says paralegal use must not constitute the practice of law, and states that Deposely provides no legal services or advice. It requires immediate deletion of customer materials on termination. The platform is SOC 2 Type II certified and has audited its practices against HIPAA. Customers include Ogletree Deakins and Rutan & Tucker. The company renamed from Deposely in 2026.
Litera is a Chicago legal technology company. Its drafting, comparison, proofing, review and knowledge products run inside Word, Outlook, Google Workspace, a web app, iOS and a desktop client. Lito, the AI legal agent introduced in 2025, comes at no extra charge with the Draft Base, Draft Pro and Draft Advanced subscriptions and with Kira. Lito routes each task either to Litera's rules based comparison, document analysis and metadata removal engines, which the company says return the same result every time, or to generative models grounded in the firm's own templates, clauses, playbooks, precedents and matter data. A firm can switch the generative features off and keep the rules based engines. The subprocessor list for Litera One names Anthropic and Amazon Bedrock for model inference and You.com for web search. The generative AI terms say neither Litera nor its providers will train models on customer data, prompts or outputs. The software runs as a cloud service on Microsoft Azure in US, Canadian or European regions, or on premises. Litera sells to law firms and corporate legal departments, and firms with fewer than ten lawyers can buy Draft Base and Draft Pro from an online store.
Litify is a legal operating platform built on Salesforce that runs a firm's work end to end. It covers client intake with dynamic questionnaires and voice agents, matter management, document generation and PDF editing, timekeeping and billing, legal spend management with budgets and invoice review, and reporting without code. Four solution lines cover personal injury, insurance defense, immigration and corporate legal departments. Named customers include Brooklyn Defenders, Quintairos Prieto Wood & Boyer, AmTrust, Cole Scott & Kissane and the United States Postal Service. Litify AI centers on the Agentic Case Expert, or ACE, which works across a firm's cases and documents, alongside eight named agents running from intake qualification to deposition preparation. Some AI features come from partners: Supio powers the Damages Assistant and Instant Demands, Billables.ai powers AI Time Capture, and Salesforce Agentforce handles conflict checking and invoice review. The vendor says its AI runs in a closed, isolated environment on Anthropic models through Amazon Bedrock, and that customer data is never retained by or used to train the model. Litify is a Salesforce managed package that needs a Salesforce platform license on top of its own subscription, which the vendor lists from $200 per user per month.
Litmas AI is a litigation platform from Litmas, Inc. for trial and appellate lawyers, sold to solo practitioners, firms and in house teams in personal injury, commercial, insurance defense, criminal defense and other litigation practices. Working from the documents uploaded to a case, it answers research questions about the case with inline pincites to the record and to U.S. court opinions. It breaks each cause of action into its elements, maps the evidence to each one to show what is supported and what is missing, and visualizes parties, witnesses and facts in a graph. It flags a new document that contradicts earlier testimony. It drafts discovery requests and deposition outlines, drafts motions, pleadings and demand letters in guided steps, and exports a motion with its cited documents as exhibits. Every case, statute and pincite is checked against verified U.S. court opinions by what it calls dual layer validation, citations that cannot be validated are removed, and each cited case is checked for later treatment. Pricing is published: $125 per case per month or $999 per attorney per month for unlimited cases, with a separate drafting service in which its own legal team prepares documents on the platform.
Lucio is a legal AI workspace built by lawyers at Zenlegal Technology Private Limited in Bengaluru, which contracts outside India through Lucio Inc and has users in 13 jurisdictions. One subscription covers three products. Lucio Assistant researches case law and statutes with a source behind every answer, reviews hundreds of documents together in a Briefcase, builds chronologies cited to the page and drafts from precedents. In Word, the product drafts and redlines in tracked changes against the firm's playbook. In Outlook, it reads threads and attachments, drafts replies and turns the week's sent email into summaries for time entries. Practice versions cover disputes, corporate transactions, banking and regulatory work and competition, with curated decisions from the EC, the FTC, the CMA, CADE, the CCI and the ACCC. It connects to iManage, NetDocuments, SharePoint, OneDrive and Dropbox. More than 250 law firms and in house teams use it, with Trilegal running it across the firm. The price is $149 per user a month with no seat minimum, and data can be held in India, the UK, the UAE or the United States.
Lulius is an AI research platform for German federal law and EU law, sold to law firms and also to consumers, companies and tax advisers. A question returns an answer built from retrieved sources, with a reference under each statement. The sources are more than 4,600 federal statutes and regulations and about 84,000 decisions of the seven federal supreme courts since 2010, from the federal government's open legal information portal. An EU module adds EUR-Lex legal acts and the case law of the Court of Justice. For lawyers it drafts opinions in the classic German structure of issue, definition, application and result, analyzes case files of up to 600 pages, compares documents, checks deadlines and drafts letters. A connection to the Actaport practice management system reads case files and writes deadlines, notes, tasks and fee items back only after the lawyer confirms each one. A connector brings the statutes, decisions and calculators into Claude, ChatGPT and Mistral. The models are Anthropic's Claude, run through Amazon Bedrock in Frankfurt, where accounts, conversations and documents are also stored. Plans cost €19 a month for consumers, €99 for a solo lawyer and €499 for a firm of five users, VAT included and cancelable monthly. Lulius is operated by Elivya UG of Frankfurt am Main, which the site describes as a company of Voisa AI.
Luminance is a contract lifecycle platform covering generation, negotiation, analysis, compliance and investigation for corporate legal teams and law firms. It is sold across legal, compliance, procurement, sales, finance, HR and marketing functions. It was founded in Cambridge in 2015 by mathematicians. It runs a multi model architecture the vendor calls a Panel of Judges, combining foundation, fine tuned and proprietary models. In June 2026 it introduced Luna Crescent, its own legal intelligence model, trained on a curated selection of roughly 3.4 million legal concepts and data points drawn from more than 220 million verified legal documents. Luna is deployed inside the vendor's own AWS environment, which the vendor states reduces reliance on external model providers and limits exposure to additional subprocessors. Each customer receives a dedicated single tenant instance, and on premises deployment is available.
Luminary is an AI platform for trust and estate planning. It turns trusts, wills, amendments and entity documents into structured records with citations to the source, then uses them for estate diagrams, beneficiary and tax modeling, planning insights and client presentations in the firm's branding. It is sold to wealth managers, estate planning law firms, trust administrators and tax advisors, with a dedicated offering for estate planning attorneys, and it does not draft documents or give legal advice. Luminary AI extracts and summarizes document data with citations back to the source language, and an assistant answers questions about a household's plan. The company names OpenAI as an AI vendor under a data processing agreement and says neither it nor its AI vendors train on customer data. Luminary Platforms, Inc. is based in New York and raised a $22 million Series A in September 2026.
Luminos.AI is a Washington, DC company, founded in 2023 by Andrew Burt and Mike Schiller, that sells an AI governance and evaluation platform to legal, privacy and AI governance teams and the engineers they work with. Its evaluations, built by the company's lawyers and data scientists, test a customer's classical models, generative AI and agents against specific legal standards such as EEOC and state hiring rules, GDPR, CCPA, the EU AI Act, HIPAA and the FTC Act. They run inside the platform or through an API in a customer's build pipeline, run again when a model changes, and generate documentation that can be kept under legal privilege. Approval workflows clear systems of low risk automatically and send riskier ones to in house legal or outside counsel. A partnership with the law firm ZwillGen adds a governance package of policies and a library of impact assessment forms written by ZwillGen attorneys. The company grew out of Luminos.Law, a law firm focused on AI risk.
Lupl is a legal work management platform for law firms and legal departments, owned by Elevate since August 2026. Teams break matters into tasks with owners and deadlines, run templates, forms and workflow automations, and see status in list, calendar and board views, on the web and in iOS, Android and desktop apps. It connects to Microsoft Teams, Outlook and a firm's document management system, integrates with Slack, WhatsApp, DocuSign and Litera Compare, and creates matters and tracks time through APIs with practice management systems. Its AI generates summaries, reports and drafts for client updates, and agents act as matter members that triage email, extract instructions and draft documents under a human supervisor who can approve or override their work. Lupl says more than 10,000 lawyers use it, and its home page shows CMS, Cooley, Rajah & Tann Asia, Dykema, Gorrissen Federspiel and Withers among its firms. Its terms name Elevate Services, Inc. as the contracting party. They list OpenAI, processing in the United States, behind its AI features, with a note that data is not retained or used to train the model. Its trust center lists SOC 2 Type 2 and ISO 27001:2022. Pricing is quoted per user.
Luthor is an enterprise marketing compliance platform from Luthor, Inc. of San Francisco, sold to legal and compliance teams in regulated companies and to the marketing teams whose work they review. Content is uploaded before publication, including text, images, video, audio, SMS, social posts and live URLs. The AI runs a first review against rule sets the customer configures, flagging performance claims, guarantees, missing disclosures, testimonials, unsupported assertions, off brand language and personal information, and explains which rule was hit and what to change. Each review shows what was flagged and why, and rule hits, edits and approvals are timestamped for an examiner. Published rule coverage includes the SEC Marketing Rule, FINRA Rule 2210, Regulation Z, NMLS and state licensing, RESPA, UDAAP and FTC advertising rules. Two dated case studies describe deployments at a wealth manager and a regional mortgage lender. Luthor states SOC 2 compliance, US processing, separate data for each organization, and that model providers do not retain submitted content. Pricing is not published.
Magnar is a legal AI agent for lawyers in Latin America, built by Magnar SpA in Santiago, Chile. It is sold in Chile, Peru, Colombia, Argentina, Uruguay, Ecuador and Costa Rica, and Brazil and Mexico are opening after an $8M Series A in September 2026. A lawyer gives the agent an objective and approves its plan. The agent then reads case files of up to 10,000 pages, researches each country's legislation and case law with a citation behind every point, drafts documents and reviews contracts. It can also work in court and registry websites through a browser the lawyer watches live, and run scheduled tasks such as a weekly case summary. Copilot proposes the next step on any screen and acts only on approval. Around the agent sit tabular review of hundreds of documents, a Word add in that edits in tracked changes, Monitor alerts on new rulings and regulations, Vaults for document management with client datarooms, and electronic signature. Magnar reports about 30,000 users and 350 law firms. Individual plans start free, Plus costs $50 a month, and firm seats are priced per user in UF.
Maite.ai is an AI legal copilot for Spanish legal professionals that answers questions, analyzes documents and drafts claims, appeals and contracts in Spanish, Catalan, Galician and Basque. Its answers draw on a private legal knowledge base rather than the open internet. The base holds Spanish legislation from the Official State Gazette updated daily, regional gazettes, more than 2.5 million judgments from the judiciary's documentation center CENDOJ, binding tax rulings and decisions of regulators, with a link to the official text behind each citation. Users upload PDF, Word and scanned files for analysis, group conversations and documents into smart case files, and keep a firm library of templates and precedents that is anonymized before use. It is sold self serve after 20 free interactions, with Pro and Max plans per user for one to five users and a Biz plan quoted for larger teams. Buyers include solo lawyers, law firms, in house legal departments, advisory firms and public bodies. Data is stored in Europe, and OpenAI, Anthropic and Google are listed among its processors. Doctrine, a French legal AI company, acquired Maite.ai S.L.U. of Barcelona, founded in 2024, in February 2026; Doctrine has been part of RELX since September 2026.
Malbek is a contract lifecycle management platform for corporate legal departments and the sales, procurement and finance teams that work on contracts with them. The core platform covers contract creation, workflow, approvals, a repository and milestone tracking. Three modules sit on top: Malbek AI, which draws insights and recommendations from contract data; BusinessIQ, which turns a contract portfolio into reporting on revenue, risk and commercial exposure; and Klix, a clickwrap tool for online agreements. More than 50 integrations are configured through Malbek Marketplace without code, including a native Salesforce connector that syncs data in both directions, along with NetSuite, SAP, Coupa, Slack, DocuSign and Adobe Sign. A REST API covers other systems. The company states that customer inputs, outputs and embeddings are never accessible to its model vendors and never used to train models. Foundation models are reached through AWS Bedrock and Azure and work alongside Malbek's own models, which check one another's output. Malbek is SOC 2 Type II and SOC 1 Type II certified and runs on AWS. No price is published, and quotes are built from user count, user type, modules and integrations.
Manupatra is an Indian legal research platform, founded in 2000. Its database covers Indian case law from the Supreme Court, all High Courts and all tribunals, plus statutes, regulations, commentary and material from Commonwealth countries. It reports more than 10 million indexed documents and over 150,000 active users. Blue, yellow and red flags show whether a judgment or statute is still good law. AI Search, launched in December 2025, finds judgments by legal concept. It returns the ten most relevant cases broken into facts, issues, arguments, reasoning, ratio and summary, each linked to its source. AI Summary summarizes judgments and AI Compare sets them side by side. A separate toolkit, ManuWorks, offers OCR, summaries, translation, document questions, case timelines, comparison and drafting. AI use is paid for through a published credit wallet. Manupatra Information Solutions Pvt. Ltd. is led by founder Deepak Kapoor and based in Noida, with offices in India and Bangladesh.
MarqVision is an AI brand protection platform that finds and removes infringements of a brand's intellectual property online. Its detection engine scans more than 1,500 marketplaces, social platforms, websites and app stores across 118 countries. It compares what it finds with the brand's own product data at SKU level, catching fakes that copy specifications and images while avoiding the logo, and analyzes video frame by frame. Four further lines cover impersonation (lookalike domains, scam ads and spoofed social profiles), content protection against piracy, unauthorized sales and gray market resellers, and MarqLaw, which coordinates customs, criminal enforcement, investigations and litigation through partner law firms. A separate product, MarqFolio, handles trademark registration, renewal and monitoring. Enforcement runs on a letter of authorization from the brand, with a whitelist of sellers the customer does not want to act against. The company describes a tiered model in which borderline cases go to human analysts. Customers include Nissan, GM, Panasonic, Henkel, Miele, Lush, Wella, Coupang, Shinsegae and MSCHF. MarqVision is operated by Marq Vision Inc., a Delaware corporation with offices in Los Angeles, San Francisco, New York, Seoul, Paris, Shanghai and Tokyo.
Marveri is an AI due diligence platform for transactional legal work. It is sold to M&A and venture lawyers at law firms and to companies and deal teams on either side of a transaction. It takes a whole data room, organizes and renames the files to the user's conventions, and detects duplicates, missing signatures and gaps such as absent board approvals. It then produces the work product deal teams deliver: diligence memos, responses to request lists, disclosure schedules exported to Word, cap table reconciliations and clause tables for terms such as change of control. There is no chat and no prompting, and every output links back to its source document with checks on exact quotes and calculations. The company was founded in 2023 by a former Morrison Foerster corporate associate and machine learning researchers from MIT, and is based in Cambridge, Massachusetts. It raised a 3.5 million dollar seed round led by Alven in May 2025. Marveri states SOC 2 Type I and Type II compliance, encryption in transit and at rest, and that customer data is never used for training. It publishes a privacy policy and no customer agreement, and pricing is by demo.
Mary builds the factual record for a litigation matter and keeps it reviewable. A team hands over the case files as they are, including scans, old formats and material from connected document systems. Mary reads every page and extracts individual facts rather than storing documents as embeddings, tagging each with people, dates and events and linking it to its source page. The result is a single record the whole team works from to build timelines, issue analysis and financial analysis. Coverage is explicit, so a user can see what was processed, what informed an entry, what was reviewed but unused and what has not been processed. Contradictions are kept side by side rather than resolved, and every entry carries a status of supported, contradicted or unconfirmed that a user can check against the source in a click. Proposed updates stay pending until a person approves them. It is built for commercial litigation, family law, personal injury and in house disputes and investigations, with customer data isolated by matter and never used to train models. The product is operated through Mary Legal USA, Inc. in San Francisco, with the platform terms carried by the Australian company DEA Technology Pty Ltd.
Matey is an AI discovery analysis platform from MateyAI, Inc. of Austin, Texas, built for criminal defense. Its flagship product, CrimD, takes in case discovery of any kind, including scanned documents, email archives, text messages, jail call recordings, surveillance footage, and body camera video and audio. It transcribes media automatically and sorts documents into the user's folders as they arrive. Defense teams can ask questions in plain language, build timelines and draft outlines for motions and trial, with answers linked back to the underlying evidence. The company sells to public defender offices, private criminal defense firms and government agencies, and in 2026 began marketing the platform to civil litigators for deposition preparation, motion drafting and mediation. Its FAQ says the platform can be tailored to civil litigation, corporate and forensic investigation work. Its site shows an affinity partnership with the National Association of Criminal Defense Lawyers, and in October 2025 it was named SCACDL's exclusive AI partner for eDiscovery. Matey raised a $7.5 million seed round led by Timespan Ventures in August 2025. Pricing is not published.
Meet Gabbi is an AI voice intake and reception system built only for law firms, marketed as a custom AI intake employee. Its voice agent answers calls around the clock using speech to speech technology and a proprietary emotion detection layer it calls GabbiEmotion+, handles new client inquiries, existing client updates and after hours calls, and transfers calls to the firm. A chase protocol has the agent call, text or email new leads within seconds, and AI texting, webchat and an interactive video avatar extend intake to other channels. A lead management system sorts each interaction into new inquiries, referrals from other attorneys, existing clients, court notices and vendor calls, and real time transcription flags case type, urgency and liability signals. Native integrations cover Clio Grow and Clio Manage, CasePeer, Lawmatics, Lead Docket, Lawcus, MyCase, Salesforce and Zoho, and the company builds custom connections. Its published mailing address is in Camp Hill, Pennsylvania, and its press releases describe it as based in Ohio. Meet Gabbi sells subscriptions with a 14 day free trial and a six month minimum where custom integrations are built; prices are not published.
Merlin Search Technologies makes Alchemy, an AI ediscovery and investigations platform covering processing, search, review and production. A legal team can ask questions in plain language across millions of documents and get sourced reports in minutes. Five AI engines combine keyword, AI enhanced and semantic search with analysis and answering models, and ReviewPartner applies AI reviewers to large document reviews. The company also sells AI services delivered overnight, including medical record analysis, transcript analysis, document unitization, OCR and metadata summaries. Since April 2026 it has used TransPerfect's Reef ECA as its processing engine. Each client runs in its own Amazon Web Services account with separate servers, databases and storage, and each matter has its own servers, URL and login. Joint defense teams can share a site while keeping their own work product private. Environments can sit in any AWS region, in a client's own AWS account or in a FedRAMP environment. Pricing is by the hour, with a lower rate when a site is switched off. The company was founded in 2019 in Denver by John Tredennick, founder of Catalyst. It completed a SOC 2 Type II audit in November 2025 and publishes a privacy policy and GDPR disclosure but no customer agreement.
Legal research platform built for litigators and law students doing in depth research, covering case law from United States federal and state courts plus tribal and military courts, statutes and regulations, and selected administrative decisions. Also generates briefs. Available as a standalone product and through a bespoke integration inside ChatGPT. Founded 2022. Participated in the 2025 Vals Legal AI Report legal research study, an independent third party benchmark, where it was evaluated on its standalone research product and scored 78 percent accuracy, 74 percent authoritativeness and 70 percent appropriateness for a 76 percent weighted aggregate, against a lawyer baseline the study measured at 69 percent aggregate and 71 percent accuracy.
Minesoft PatBase is a global patent search and analytics platform used by more than 90,000 IP, legal and R&D professionals for prior art searching, freedom to operate work, portfolio management, competitor monitoring and landscape analysis. It covers more than 180 million patent publications from over 100 issuing authorities, organized by family and by publication, with full text for the major jurisdictions, daily data quality checks and a live feed of new publications. Searching ranges from natural language to complex Boolean and command line syntax. A spring 2026 release added fourteen standards bodies, including IEEE, ISO, ITU-T, IETF and ANSI, for standard essential patent work. Most AI features arrived in 2025 and 2026. Document Chat answers questions about a single patent, AI Explain highlights the wording that matched a query, Smart Images links reference numerals in drawings to the description, and alert classifiers can be trained on a user's own folders and search history. Machine translation is built in, developed with RWS, which develops PatBase with Minesoft. Minesoft Ltd is a private British company founded in 1996 and based in Richmond-upon-Thames, London.
Miramis is a contract lifecycle management platform built around an AI contract agent, PLAI, and sold to enterprise legal teams for use across the business. Sales, HR and procurement staff draft from approved templates with deal data pulled from HubSpot or Salesforce, and negotiate with counterparties in a shared workspace or through a Word add-in. Contracts are routed for approval and signature under a Delegation of Authority the legal team sets once. PLAI reviews every incoming redline against the company's playbook and says what the business can accept, what to change and what to escalate to legal. Electronic signing compliant with eIDAS is built in, with DocuSign as an alternative. Signed contracts sit in a repository where PLAI extracts metadata, tracks obligations and renewals, answers questions in plain language and builds dashboards. The company is Miramis Technologies AB of Stockholm, with a UK subsidiary in London. It traded as Pocketlaw until a rename on 11 February 2026 that marked its move from a self serve legal platform for startups to enterprise contract management. It publishes its terms with a data processing agreement and subprocessor schedule, and holds ISO 27001 and SOC 2 Type II certifications.
Mitratech's enterprise legal management platform for corporate legal departments and law firms is centered on TeamConnect. It covers matter management for complex global portfolios, legal spend management and electronic billing, billing guideline enforcement, accrual tracking, vendor analytics, compliance tracking, configurable workflow and dashboards. The AI layer is ARIES, which the vendor describes as embedded governed intelligence. Its components include Non-LEDES Invoice Capture for vendors who do not submit LEDES files, invoice review automation, intelligent document processing, anomaly detection, summarization, and an assistant that answers natural language queries across matters, invoices and reporting. Mitratech Managed Bill Review is a separate service in which AI analysis flags billing guideline exceptions and experienced billing professionals review flagged and complex entries. The TeamConnect Enterprise 8.0 release added native Microsoft integrations for managing matters, documents, workflows and invoice approvals inside Outlook. Other integrations include iManage, through Mitratech CaseCloud, and embedded HotDocs document automation. Stated adoption is more than 8,000 legal teams, including 70 percent of the Am Law 200 and 65 percent of the Fortune 100.
MyCase is practice management software for small and midsized law firms, holding cases, contacts, documents, calendars, time entry, billing and trust accounting in one place, with a client portal, two way texting and online payments through LawPay. For intake it offers custom web forms, a pipeline for tracking leads from first contact to signed retainer, and automatic generation and electronic signature of engagement documents. The AI layer, 8am IQ, is a set of assistants built into the product. Case Assistant answers plain language questions across a case's documents, notes, events, invoices, messages and call logs, with citations back to the source. Discovery Assistant runs OCR on scanned and image files to make them searchable. Document Assistant extracts parties, dates, obligations and clauses, and Writing Assistant summarizes, rephrases and translates client messages. The account owner controls a firm wide AI setting, and the assistants reach only records a user can already see. MyCase belongs to 8am, LLC, formerly AffiniPay, alongside LawPay, CasePeer and DocketWise. It serves legal and accounting professionals in the United States and Canada and says more than 19,000 firms use it.
Neos is cloud case management software built for plaintiff personal injury firms. It covers the work from the first intake call to settlement disbursement: intake and lead tracking, statute and deadline calculators, document assembly, medical records, treatment and lien tracking, demand drafting, and case value and settlement reporting. NeosAI, sold only in the top of three tiers, summarizes documents, extracts data from records into case fields, answers questions about the case file and generates documents. Demands Plus, in early access, builds a medical chronology with every entry linked to its source page, flags gaps in treatment, and drafts a demand letter with each claim cited to the record so an attorney can check it before approving. The vendor states the tool does not decide causation, damages, standard of care or case merit. Neos costs from $109 per user per month billed annually, with a three user minimum, and runs on Microsoft Azure with each firm's data isolated. It is made by Assembly Software of Coral Gables, Florida, which also supports its older Needles and TrialWorks systems and reports more than 1,450 personal injury firms on the platform.
Neota Logic is a legal automation platform that needs no code, from Neota Logic Inc. of New York, with group companies in London and Melbourne. It now positions itself as a governance layer for AI in corporate legal departments and law firms. Legal, compliance and risk teams build their own applications for intake and triage, contract generation, regulatory assessments, approvals and advice tools for clients. They build from process maps, decision trees and document templates, and connect to systems such as iManage, NetDocuments, SharePoint, Salesforce, DocuSign and Microsoft 365. Its AI Task Node calls a model the customer has approved, through the customer's own Amazon Bedrock, Azure or other provider account. The model extracts, classifies, summarizes or drafts inside an otherwise deterministic workflow. Confidence is captured as a variable that can route work to human review, and every call is logged with the prompt, response, model, token count and approver. An MCP connection, in preview, lets AI assistants such as Claude call Neota applications for answers based on rules. Neota states ISO 27001 certification, hosting on AWS or Azure in a region the customer chooses, and pricing per solution rather than per user.
NetDocuments is a cloud document and email management platform for law firms, corporate legal departments and public sector legal teams, used inside Microsoft Word, Outlook and Teams, on the web and on mobile. Its AI suite, ndMAX, includes a Legal AI Assistant that answers questions across one or many documents, AI Search, Tabular Review, an App Builder for making AI apps without a developer, and a library of ready made legal apps. Smart Answers, rolled out to ndMAX Enterprise customers from March 2026, answers questions from the firm's own repository and matter history with citations. The generative features run on Microsoft Cognitive Services and Azure OpenAI. The company says inputs and outputs are not kept beyond producing the answer and are not used to train the model. AI works inside the firm's existing permissions and ethical walls, and Model Context Protocol connections let outside AI tools such as Claude, ChatGPT, Microsoft Copilot, Harvey and Legora reach that content without it leaving the platform. NetDocuments Software, Inc. is based in Lehi, Utah. Customers choose the region where their data is stored, and the company says it supports more than 7,000 organizations.
Newcode is a workspace that sits across the systems a legal team already uses and adds AI on top of all of them. It does not hold documents itself. It connects to them and claims reach into more than 750 Model Context Protocol servers, including Outlook, iManage, SharePoint, OneDrive, Teams and the Microsoft Office apps. A lawyer can, for example, ask for an engagement letter drafted from a matter in Outlook, using past letters in SharePoint as fee benchmarks. Nova is the assistant. It searches the firm's own material and outside sources, returns answers with references, and offers tools for reviewing many documents in a grid, comparing jurisdictions, deep research, document management search and audio transcription. Aurora is a visual builder in which a firm assembles and deploys its own agent workflows from agents, prompt templates and model choices. Retrieval works in steps, planning, searching, checking and repeating within the taxonomy, labels and walls the firm sets. The firm controls configuration by matter, permissions, audit, model choice, and cloud or local deployment. Newcode sells to law firms, in house teams, insurers, banks and government bodies, and names customers including Kirkland & Ellis, DLA Piper, Reed Smith, Wolters Kluwer and The Bar of Ireland. Newcode.ai AS is based in Oslo.
Nexl is a client relationship and business development platform for law firms, built on the observation that lawyers do not update conventional CRMs. It connects to firm mailboxes and calendars, captures interactions automatically and enriches the contact records. The firm can then see who knows whom across offices and practice groups, where a client relationship is thinning and where cross selling opportunities sit between practices. Nexl Workspace turns business development plans into shared hubs with assigned next steps, and Nexl Marketing runs targeted campaigns with consent handling and unsubscribe management. Nexl AI answers plain language questions about the firm's relationships and writes company research reports that combine firm data with SEC filings and live web content, citing its sources. It also drafts follow up emails and logs notes by voice. Prospecting runs against a database of 25 million companies and 100 million contacts. The platform runs separate United States, Australian and European instances, and the agreement commits to keeping each region's data in that region. Customers include Greenberg Glusker, Harter Secrest & Emery, Marriott Harrison and Wiersholm. Nexl Pty Ltd was founded in 2018 and raised a 23 million dollar Series B led by Tidemark Capital in October 2025.
NexLaw is an AI legal assistant for US litigators from NexLaw Inc., founded in June 2024 by Francis Lui with Bernie Law as chief operating officer. NeXa, the core assistant, researches case law, statutes and regulations with each answer linked to its authority, builds arguments and counterarguments, and drafts memos, motions and pleadings in an issue, rule, application and conclusion structure. Document Insights summarizes long files and flags risks, Deposition Insights finds contradictions and admissions in transcripts, and ChronoVault maps every fact in a case to its supporting evidence on an interactive timeline. TrialPrep assembles witness outlines and trial materials, and Courtroom Assistant recalls arguments and exhibits during a hearing. Higher tier features stress test a case theory against opposing counsel's likely arguments, surface bad facts and model case outcomes. NexLaw sells to solo practitioners, boutiques and trial teams in personal injury, medical malpractice, criminal defense, family law and estate litigation. Data is stored and processed in the United States, and annual licenses start at $2,999.
Nextpoint is a cloud litigation platform for eDiscovery through trial, sold at a flat monthly price per user with no charge for data. It processes, indexes, reviews, redacts and produces documents, then carries the evidence into deposition review, case chronologies and a trial presentation tool. Its AI is a narrow layer. Results are ranked by models Nextpoint hosts, and AI Transcript Summaries condense a deposition using Amazon Bedrock inside Nextpoint's own AWS environment. Nextpoint states that case data never trains any model and is never shared with or kept by an outside model provider. Buyers include law firms of every size, corporate legal departments, government agencies and universities, and Nextpoint claims more than 600 law firms and legal teams. Nextpoint, Inc. is based in Chicago and was founded in 2001.
Noetica is an AI platform for market intelligence on deals, founded in New York in 2022 and acquired by Thomson Reuters in February 2026, which has said it intends to integrate the platform into CoCounsel. Its proprietary AI automatically indexes terms from public and private transactions into a knowledge graph of more than 1.5 billion terms across more than 3 million deals. It covers 60 or more transaction types in debt finance, capital markets, securities and M&A. Transactional lawyers use it to benchmark the language and numbers in their own deals against market comparables, search for precedents by concept and follow how terms move over time. They can filter by factors such as opposing counsel, market cap and credit rating, and investment teams use AI term ratings to assess credit deal risk. Firms can run the analytics over their own private deal library. The company describes an architecture with a single tenant and no outside AI providers. Pricing is not published.
Norm Ai builds regulatory AI agents that turn laws, regulations and corporate policies into executable compliance agents for large regulated enterprises. Its focus is financial services, covering SEC, FINRA and CFPB rules. Regulations are written in a proprietary Norm Regulatory AI Domain Specific Language as decision trees that a person can read and a machine can execute. An agent follows the tree, reaches a compliance determination and states which provision drove it. Agents are built on LEAP, the Legal Engineering Automation Platform, a no code environment in which Legal Engineers, former attorneys given intensive LLM training, build, evaluate and deploy them. Uses include review of regulated content in marketing, investor relations and internal communications, completing questionnaires and information requests from approved firm content, contract review, and agents that monitor other AI systems for compliance. The company was founded by John Nay, previously at Stanford's Center for Legal Informatics and a co author of the LegalBench benchmark. It is backed by Vanguard, Blackstone, Bain Capital, Citi, TIAA and Coatue, with $267m raised. In 2026 it launched Norm Law, which it describes as the first fully AI native law firm for institutional clients.
Normo.ai is an AI assistant for Italian professionals who work with the law, sold to lawyers and law firms alongside accountants, labor consultants, tax assistance centers and other advisers. Questions are asked in plain Italian, and answers come with references to legislation, case law and administrative practice. The sources include Italian and EU legislation updated nightly, Court of Cassation decisions from the last five years, tax merit case law, European court decisions, agency guidance, national collective labor agreements and Euroconference doctrine. Users can upload documents for analysis and draft filings, opinions, contracts and letters, using an advanced reasoning mode called N2 and their own templates and sources. The company says a committee of Euroconference experts continuously checks the model's output. The single user Plus plan is listed at 85 euros a month and team plans start at 49 euros per user a month, plus VAT, with a free trial. Customer data is located in the European Union, with AI processing by OpenAI, Anthropic, Google, Mistral AI and Cohere. Normo.ai is operated by Normo S.r.l. of Milan, founded in 2024, and is majority owned by TeamSystem, which acquired control in October 2025.
Novo drafts the two documents that carry a personal injury claim through the stage before litigation: the medical chronology and the demand letter. A firm uploads a client's medical records, and Novo turns them into a structured timeline of each injury, treatment and medical event. It then drafts a demand letter from that chronology, written to set out liability and account for every element of damages. The vendor says both take minutes rather than hours or days, and publishes a figure of five and a half hours saved per case. The output is a draft that the firm edits. The terms place the duty to review, revise and proofread everything on the lawyer, and require advice from a licensed attorney before acting on it. Novo names CASEpeer, Smokeball, SmartAdvocate and MyCase as case management integration partners. It publishes a list of the providers behind the product, naming OpenAI and Anthropic as its AI services and Google and Tesseract for optical character recognition. Firms can start on a free plan, and the service is offered only in the United States.
European sovereign legal AI for law firms, in house teams, auditors and tax advisers, courts and public authorities. Three products: Research, Understanding for matrix analysis across document sets, and Drafting, with a Microsoft Word add in. Built on proprietary models rather than third party foundation models, running on European infrastructure from IONOS and Deutsche Telekom independent of US cloud providers. Content comes from exclusive licenses with national legal publishers, shipped as jurisdiction specific editions including Beck-Noxtua in Germany, MANZ-Noxtua in Austria, Swiss-Noxtua, Ciela-Noxtua in Bulgaria and Blendow-Noxtua in Sweden. Founded in Berlin in 2017 as Xayn, renamed Noxtua SE, and co-initiated with the law firm CMS. Version 5 introduces knowledge graphs.
Nuix Neo is an investigative analytics and ediscovery platform built on the patented Nuix Engine, which turns more than a thousand file types of unstructured data into searchable form. It is sold as solution lines for legal ediscovery and early case assessment, fraud and investigations, and data privacy. Buyers include law firms, legal service providers, corporate legal departments, financial regulators, government agencies and law enforcement. Its AI layer classifies data, applies language models the vendor describes as trained for the customer's use case to reduce the volume for review, and automates redaction before production. A customer can also bring its own AI and run current models inside its own environment. Nuix Neo Discover, the review product, runs on the customer's premises or as a SaaS offering. The company is Nuix Limited of Sydney, listed on the Australian Securities Exchange. Its Solutions Terms of July 2026 bar Nuix from training AI systems on customer data, carry an infringement indemnity and insurance, and sit beside a published data processing addendum and security requirements.
Olava is a small language model trained for legal contract work, built by Onit AI Labs at Onit, Inc. and sold under its own name. Two models are offered today, olava-3.0 and the earlier olava-2.0, each with a 256k token context window. The contract skills cover clause and metadata extraction, drafting of clauses, amendments and full agreements, playbook based redlining and review, summaries, classification and anonymization, alongside reasoning, vision for scanned documents, multilingual work, coding and agentic workflows. Customers reach it through a hosted API, a command line tool that keeps files and history on the user's machine, or a model download that runs inside their own infrastructure. The CLI adds document operations such as tracked changes and OCR, connections to Microsoft 365, Google Workspace and CourtListener through MCP, evaluation runs and reusable skills. Self serve plans start at $9 a month, with a Team plan at $199 per seat a month. Olava describes itself as not yet generally available, and accounts run under Onit's Olava trial terms.
Omnilex is an AI workspace for Swiss law that brings statutes, court decisions, commentary and a firm's own knowledge into one place for research and drafting. The site counts 1,057,541 sources: 797,321 court decisions, 222,525 commentaries, 22,181 laws and articles, 13,162 official documents and 2,352 pieces of literature, federal and cantonal, refreshed continuously. The company writes the Omnilex Commentary article by article; it is drafted by AI, labeled as such and cited to statute and case law. Firms can build agents without code to run their own playbooks. Users pick the answering model from GPT-5.6, Claude Opus 5, Mistral Large 3, Kimi K2.6 and Grok 4.6, all processed on Swiss infrastructure. Hosting is on Microsoft Azure in Zürich, and the company holds ISO/IEC 27001:2022. Pricing is published per seat. Named customers include the Swiss Confederation, Bayer and the insurer Dextra. Omnilex is operated by Omnilex AG of Zurich.
One LEGALE is Wolters Kluwer Italia's online legal research platform for Italian lawyers, built on legislation, commented case law, doctrine, journals and practice tools from the group's Italian publishing brands Pluris, CEDAM, UTET Giuridica, Leggi d'Italia and IPSOA. Its AI layer, launched as One AI in May 2025 and available with specific subscriptions, has two parts. The One AI Assistant answers questions asked in natural language from that content, with links to its sources, and turns a described issue into a draft legal opinion with references. Giurimetria, available since 2021, searches Court of Cassation rulings by fact pattern and shows how judges have decided similar cases. One Legal Assist links the statutes and judgments cited in a Word or PDF document to their full text in One, and the platform connects with Kleos, Wolters Kluwer's practice management software. Since July 2026 the separately sold Libra legal AI workspace can be used inside One through an add in. One LEGALE is sold on annual subscription, with a trial on request. It is operated by Wolters Kluwer Italia S.r.l. of Milan, which holds ISO/IEC 27001 certification.
OneTrust is a governance platform for privacy, data and AI, sold to privacy, security and risk, data and marketing teams across five solution families. Privacy Automation keeps an automated data map, runs privacy impact assessments, assesses vendor privacy risk, manages data processing agreements and transfers, and in its fuller package automates data subject requests and privacy incident management. Consent and Preferences covers consent banners and preference centers across web, mobile and connected TV, backed by a database of categorized cookies and trackers. AI Governance keeps a register of AI initiatives, models, agents, datasets and vendors, aligns risk assessments to the EU AI Act, NIST and ISO 42001, sets approval and evaluation gates before production, automates model documentation and reporting, and applies runtime controls to prompts, outputs, data access and AI actions. Tech Risk and Compliance and Third-Party Management complete the set, the latter screening against Dow Jones databases. AI assists inside the platform, with AI risk assessments routed to privacy, security and legal reviewers for approval. OneTrust reports more than 14,000 customers, including Adobe, Samsung, Pfizer and Maersk, publishes its Master Terms, Data Processing Addendum and Standard Contractual Clauses with version histories, and offers its SOC 2 Type II report and ISO certificates for direct download from its trust center.
OnitX CLM is Onit's contract lifecycle management platform for enterprise legal departments and the business teams they support. It covers intake forms, approval workflows, a clause and template library, eSignature through DocuSign or Adobe Sign, a repository with contract hierarchies, obligation and renewal alerts, and Tableau dashboards. Its AI is ReviewAI, which runs in desktop Word and from the CLM workflow. A contract started in OnitX CLM can trigger ReviewAI, which checks the draft against the legal team's playbook and proposes redlines and fallback language. ReviewAI then logs its findings back to the CLM record as a risk profile. Since early 2026 the redlining is generative, with rules written in plain language, and Smart Mapping lets customers write their own extraction prompts. ReviewAI grew out of McCarthyFinch, a New Zealand company Onit bought in November 2020, and Onit's subprocessor list names Anthropic as the provider behind its generative features. Hosting is on AWS in the United States or Germany, with backups in Ireland. Onit's services agreement states that Onit is not a law firm and provides AI features as is. Wesfarmers is a named ReviewAI customer, and Onit quotes every price.
OnitX ELM is the configurable enterprise legal management platform from Onit, Inc. It is sold to corporate legal departments for matter management, outside counsel spend and invoice review, budgets and accruals, vendor management through the BillingPoint portal for law firms, and real time reporting, with configurable approval workflows. It sits beside two other Onit legal management products: Unity ELM, released in March 2026 on Onit's Unity platform, and SimpleLegal for mid market departments. The AI in OnitX ELM is Spend Agent. It reviews outside counsel invoices line by line against a department's billing guidelines, explains each finding with the guideline it rests on and recommends a monetary adjustment. Onit says it reaches more than 92 percent invoice level accuracy against 72 percent for experienced lawyers. Onit's published subprocessor list names OpenAI and Google Gemini as the model providers for Spend Agent, with hosting on AWS in the United States or Germany. OnitX ELM connects to NetDocuments, iManage and SharePoint. Onit's services agreement states that Onit is not a law firm and provides AI features as is, and the company states SOC 2 Type 2, SOC 1 Type 2 and HIPAA audits. Pricing is not published.
Onspring is a no code governance, risk and compliance platform for building and running GRC programs without developers. It covers risk management, regulatory change management, internal audit, policy management, control and framework mapping, third party and vendor risk, IT risk, ESG assessment, and business continuity. Business users configure applications, workflows, surveys, dashboards and reports through the interface, and frameworks including ISO, NIST and CMMC are mapped to controls. A separate Corporate Counsel solution for in house legal departments covers legal request intake, matter tracking, legal opinions and research, a reusable clause library, and legal cost and budget tracking. Onspring AI, an optional add on module launched in October 2025 and extended into agentic operation in July 2026, is powered by Anthropic's Claude family of models and overseen by an internal AI governance council. It drafts and revises field content, creates records from prompts, links related controls and requirements, detects duplicates, and summarizes documents such as SOC 2 reports. Named customers include American Family Insurance, Warner Bros. Discovery and Memorial Hermann Health System. Onspring maintains an annual SOC 2 Type II attestation.
Ontra is an AI platform for private markets firms, covering the routine legal and compliance work around funds. Its products cover outsourced negotiation of NDAs and other routine contracts, entity management and structure charts in Atlas, obligation and side letter tracking in Insight, automated investor questionnaires, and reverse KYC. Its AI turns fund documents and agreements into structured data. It produces summaries, clause comparisons, plain language search across a whole agreement set, and markup suggestions drawn from the firm's own digital playbook. Subject matter experts review outputs and flag potential hallucinations before they reach the customer. On Contract Automation, contract professionals or lawyers do the negotiating, depending on the edition. An MCP server gives a firm's own AI tools read only access to Atlas entity data. Ontra holds SOC 2 Type 2 across all five trust criteria, ISO 27001:2022 and ISO 42001, publishes a trust center, and says customer data is not used to train models. Ontra, LLC is a US company, and more than 1,000 private markets firms use the platform, including Blackstone, AllianceBernstein and Battery Ventures.
OpenText eDiscovery is an electronic discovery platform covering collection, processing, analysis, review and production, sold to corporate legal departments, law firms and investigating authorities for litigation, internal investigations and regulatory matters. It offers more than 45 data source connectors, deduplication, predictive search, a viewer with redaction, and review of audio and video in native and transcribed form. Technology assisted review has been part of the platform for more than fifteen years and includes TAR 2.0 with continuous active learning. The generative AI features, branded OpenText eDiscovery Aviator, summarize key documents with document ID citations, reduce first pass responsiveness review, and run agents that plan multistep search and review work from a goal in plain language. The models are Anthropic's, reached through Amazon Bedrock from the customer's own AWS environment, and OpenText states that customer data, prompts and outputs are never used for training. Deployment can be public cloud, private cloud, on premises, hybrid or managed service. Named customers include the UK Serious Fraud Office, Bosch, Gleiss Lutz, Eversheds Sutherland and Pillsbury. The product was formerly OpenText Axcelerate. Open Text Corporation is headquartered in Waterloo, Ontario and listed on Nasdaq and the TSX as OTEX.
Opus 2 is a platform for running commercial disputes from client instruction to the hearing room, built around case preparation, collaboration and live proceedings rather than document review. It has five solutions: Cases, for case management with a shared document workspace, annotation, chronologies and issue management; Hearings, for in person, remote and hybrid proceedings with an electronic bundle, real time transcription and evidence presentation; Transcripts, delivered real time, daily or deferred using speech recognition and professional editors; Arbitral Institutions, a case administration system for arbitral bodies; and Chambers, sold as LEX for barristers' chambers. The AI layer, Opus 2 Ingenuity, works on the matter data teams create in the platform: it summarizes and analyzes documents, extracts people, organizations, events and topics, answers questions about a matter or selected documents, offers saved prompts, drafts and checks work product, surfaces events for chronologies, and during a live hearing compares testimony with the bundle to flag inconsistencies. Its published AI principles commit that a lawyer must apply their own judgment before AI data is saved and that client data never leaves its instance or crosses between cases. Buyers are litigation and arbitration teams, chambers and arbitral institutions; the vendor says 98 percent of Am Law 50 firms use it.
Orbital is an AI platform for commercial real estate legal work, sold to the real estate practices of law firms, to real estate businesses such as investors, developers and REITs, and to corporate occupiers managing property portfolios. Founded in 2018 as Orbital Witness, the company now trades as Orbital from offices in New York, London and Los Angeles. The platform reviews title commitments, surveys, leases, CC&Rs and purchase agreements together to surface issues. It abstracts and compares leases, drafts from a firm's own forms, compares redlines, plots legal descriptions and easements against parcels, and keeps deal parties aligned on documents and deadlines. Findings link back to the source documents, and Orbital says attorneys remain responsible for the legal analysis and the final decisions. Documents can be brought in from iManage and NetDocuments. Orbital says more than 5,000 real estate professionals use it across more than 250,000 transactions a year. The security page states ISO 27001:2022 and SOC 2 Type 2 certification and that customer documents are never used to train AI models. Pricing is not published.
Ordalie is a French legal AI platform for lawyers in private practice, in house legal teams and notaries. It answers legal questions in French or English with every source shown and linked, down to the article, judgment number or page, mostly to official texts on Legifrance. It also drafts contracts, runs packaged workflows such as case timelines, and reviews sets of contracts in a Ledger view. It connects to eighteen systems, including iManage, SharePoint and Outlook, and reads documents in place. What sets it apart for a buyer is published price and location: PRO is €75 per user per month, data is hosted in France by Scaleway, and model inference stays in France under contract. Ordalie SAS is registered in Paris.
Otto Schmidt Answers is the AI research assistant of Verlag Dr. Otto Schmidt, the Cologne legal and tax publisher, built into its Otto Schmidt online databases. A user asks a legal or tax question in plain language and receives a short answer within seconds. The answer is generated only from the publisher's own collection of commentaries, handbooks, journals, statutes, administrative instructions and recent decisions, with links to the passages it drew on. The publisher describes the technology as an agentic retrieval system that combines semantic search over that collection with generative language models. It is powered by Taxy.io, an Aachen software company that began as a spin off of RWTH Aachen University, and the model runs on servers in Germany. What Answers can draw on depends on the modules a customer subscribes to, which span tax, civil, employment, family, corporate, insolvency and white collar criminal law. Every module subscription includes five prompts a day per user, and an Answers license for unlimited use costs 79 euros a month per person plus VAT. It is sold to lawyers, tax advisers, auditors and companies, and launched on 1 December 2023.
Parachute is a legal AI workspace for small and mid sized law firms from Veraty Tech Pty Ltd in Sydney, sold in Australia, New Zealand, the United Kingdom, the United States and Canada. It drafts documents from the firm's precedents, knowledge base and jurisdictions, and reviews contracts in several stages that identify obligations, flag conflicts with the firm's own policies and rate risks high, medium or low. Tabular review fills a grid across many documents, and research questions about Australian legislation come back grounded in the act and section with a link. Three AI modes, Paralegal, Lawyer and Senior Associate, trade depth for credits. Around the AI sit matters and workstreams, a collaborative editor with track changes, email forwarded into threads, a meeting notetaker, client invitations and branded Word export. It connects to NetDocuments, Clio, Smokeball, InfoTrack, OneDrive and Slack, with a Word add in. Data is hosted in Australia, and Standard costs A$400 a month for the firm's instance and first seat, then A$120 a seat.
Parambil is an AI platform for reading medical records at litigation scale. It takes in unstructured charts that commonly run to thousands of pages across several facilities and produces sortable medical chronologies, with every entry linked back to its source page. A Provider Guide removes duplicate clinicians and groups them by specialty, and the platform also runs billing analysis and flags gaps and documents referenced but missing from the file. On top of the chronology it runs agents: a Case Agent that investigates a case end to end, and a Drafting Agent that produces first drafts of complaints, demands, interrogatories and discovery requests from case data and a firm's own examples. A live web search pulls clinical guidelines and medical literature. The agent layer is built on a stated partnership with Anthropic, and the web search on one with Perplexity. Parambil is built for medical malpractice, birth injury, nursing home negligence, mass torts and product liability, motor vehicle accidents and maritime injury. It presents itself as a neutral vendor serving plaintiff and defense firms. It supports HIPAA compliance and signs business associate agreements on request. The company is Parambil Corp of New York, founded in 2023.
Parley is an AI platform for legal teams, built first for immigration practice, from Parley Technologies, Inc. of San Francisco. It connects to a firm's email and calendar and builds a record of clients, matters and conversations that updates itself from emails, meetings and uploaded documents, and it turns a firm's templates and past work into reusable skills its agent uses to draft, fill forms and research. For immigration work it drafts petitions, support and reference letters, attorney briefs and responses to requests for evidence from uploaded evidence, assembles exhibits, completes USCIS and Department of Labor forms and tracks cases. It works inside Microsoft Word and Outlook and connects to Google Drive, Box and Dropbox. Parley publishes its pricing: a Starter plan at $500 a month for up to ten seats with included usage credits, and an Enterprise plan on request, with a free trial. Its terms bar using customer content to train models available to other customers. Named users include Erickson Immigration Group, and the company partners with Boundless. No parent company is named on the company's own materials.
Patent Bots is a suite of tools for patent preparation and prosecution from Patent Bots, Inc., founded in 2018 by patent attorney Jeff O'Neill. Its flagship, Prep & Pros Pro, runs as a Microsoft Word add in and in the browser. It proofreads applications and office action responses for antecedent basis, claim numbering, word support, reference label and limiting word errors, and it drafts sections such as figure descriptions, claim summaries and flowcharts with generative AI. Office Action Explorer, response shells, IDS forms, client letters and USPTO forms cover prosecution paperwork. Art Unit Predictor uses a neural network trained on USPTO data to forecast the group and art unit an application will reach. Examiner statistics, PatentPlex family trees and timelines, PatentLink portfolio lists and PatentVerse quality rankings sit beside them. Generative features run on Anthropic models through AWS Bedrock with zero data retention, are off by default and are switched on by an administrator. Patent Bots says 45 of the top 100 patent law firms use it, and it publishes firm, company and individual prices.
Patentcloud is a patent analytics and search platform built by InQuartik Corporation of Taiwan for IP professionals, patent counsel, brokers and analysts. It is sold as six applications sharing one patent database: Patent Search, Design Search, Patent Vault, Due Diligence, Quality Insights and SEP OmniLytics. Quality Insights assesses the validity and quality of a US patent in one click, pulling file wrappers and generating prior art comparisons. Its Semantic Prior Art function uses the vendor's own machine learning to return up to 300 references from six patent authorities, ranked by semantic similarity. A generative AI Patent Summary feature condenses each reference and highlights terms that align with the claims at issue. Design Search matches design patents from an uploaded image, and Patent Vault is a shared workspace for up to 100,000 patents and twenty collaborators. Products are sold individually or in five bundled plans, billed monthly or annually by credit card, with free trials. InQuartik is ISO 27001 certified across all six applications and hosts data with Amazon Web Services in Oregon and Tokyo and Taiwan Mobile in Taipei. The terms are governed by the law of the Republic of China, with disputes heard in the Taipei District Court.
PatentPal automates the mechanical writing in a patent application. A drafter supplies the claims, and the software generates the supporting specification from them, with flowcharts for methods, block diagrams for systems and devices, a detailed description of each figure, and the abstract and summary. Drafts export to Word and to Visio or PowerPoint, and generation settings can be saved as profiles to match a drafter's or a firm's phrasing. The intended user is a patent attorney or agent who already has claims in hand, and the stated aim is to give back the hours spent turning claims into specification prose. PatentPal Inc. was founded in Silicon Valley by Harvard alumni with patent law and machine learning backgrounds. It is led by founder and chief executive Jack Xu, a former patent attorney, and has raised a round led by Foothill Ventures. Its terms state that patent documents are processed in memory on Amazon Web Services and not otherwise stored, that their contents and output go to no third party other than AWS, and that all processing is in the United States. The terms also state that use creates no attorney client relationship and that output is not legal advice.
PatentSight+ is the LexisNexis patent analytics and IP intelligence platform. It is used to benchmark the strength and value of portfolios, map technology landscapes, find licensing partners and acquisition targets, and support due diligence and litigation risk assessment. It runs on a harmonized global database of more than 90 million patent family records, enriched with manually checked ownership data that resolves assets to their true corporate owner, legal status tracking, and more than 100 attributes and measures. These include the Patent Asset Index, a proprietary valuation metric whose method is published. Search covers full text and fields with Boolean, proximity and wildcard syntax, plus similarity search, saved search history and visualization tools. Four capabilities use AI. Protégé, generally available since May 2026, is a generative assistant that answers plain language business questions and shows the full query behind each answer so it can be reproduced. AI-Powered Features explain charts, the AI Classifier builds custom technology views, and TechDiscovery, added in October 2024, allows search in ordinary words. The company says all AI in the product is governed by the RELX Responsible AI Principles. LexisNexis Intellectual Property Solutions is part of LexisNexis Legal & Professional, within RELX.
PatentWatch is an AI platform for finding out who is infringing a patent portfolio and building the evidence to act on it. Its four published modules are product mapping, patent search, prior art analysis and portfolio analytics. The core workflow maps granted claims against competing products at scale. The platform interprets a claim, breaks it into its elements and finds supporting evidence in product documentation and specifications. It then assembles a claim chart in which each element carries the passage relied on, an analysis and a numeric score, with an overall match score for the claim. Prior art and invalidity searching runs alongside it, aimed at testing whether a patent would survive a challenge. The company describes uses including identifying licensing and litigation targets, supporting cease and desist letters, finding counterclaims when a company is itself sued, and diligence in mergers and acquisitions. The company was founded by the brothers Alexander and Andreas Stroe, went through Y Combinator, and announced a 2.8 million dollar seed round in April 2026 led by FundersClub.
Patlytics is an AI patent platform for law firms and in house IP teams. Its connected modules cover infringement, invalidity, freedom to operate, standard essential patents, portfolio analysis, claim construction, drafting, office actions and invention disclosures. A patent agent with more than 200 skills works across them, suggesting edits that users accept or reject line by line, and every claim chart cell cites its source. Patlytics cites more than 130 million patents and 300 million literature items in its collection. Its August 2025 terms bar training on customer materials and carry an IP indemnity and a 12 month fee cap. Its trust center offers SOC 2 Type 2, ISO 27001 and ISO 42001 reports on request and lists OpenAI, Anthropic and Google Gemini among its subprocessors. Founded by Paul Lee and Arthur Jen and based in New York, Patlytics has raised about $65 million, including a $40 million Series B led by SignalFire on 8 April 2026.
PatSnap is an innovation intelligence and patent analytics platform for IP teams, research and development teams and innovation leaders across industry, not only law firms. Founded in 2007 and headquartered in Singapore, it states access to more than 2 billion structured data points and over 210 million patent, science and technology records, covering patents, scientific literature, litigation, clinical data and technical knowledge across 20 domains. PatSnap Analytics handles patent search, landscaping, competitor monitoring, portfolio valuation and infringement risk. Eureka is the AI layer, with agents for prior art, novelty and freedom to operate, design patent risk, drafting, translation and Markush claim drafting, and Eureka Life Sciences adds agents for biopharma research. The vendor publishes PatentBench, its own benchmark, with a 77 percent hit rate on design freedom to operate. Developers can build on it through REST APIs and MCP servers. A trust center lists SOC 2 Type 1 and ISO 27001:2022. Named customers include NASA, Tesla, Vodafone, MIT and General Electric. The company reached a unicorn valuation in 2021 after a $300m Series E led by SoftBank Vision Fund 2 and Tencent, and Jeffrey Tiong is chief executive. Pricing is by subscription tier and given on request.
Pattern Data is an AI case evaluation platform built for mass tort litigation, sold to plaintiff law firms, defense firms, settlement administrators and special masters. It takes a firm's whole docket, from hundreds to millions of pages of medical and administrative records, and evaluates every claimant against the same criteria for the litigation. Screen confirms product use or exposure and qualifying injury and flags missing documentation. Develop reconciles full records against expanded criteria such as treatments and risk factors to model valuation. Settle calculates settlement points under the agreement's criteria and generates submission packets in the formats claims administrators require. The engine uses retrieval augmented generation over language models, with models tailored to litigations including Roundup, AFFF, Camp Lejeune, Depo-Provera, hair relaxer, GLP-1, Paraquat, talc and Zantac. Case reviewers validate findings, eligible claims can be decided automatically, and complex or outlier cases are flagged for human review. The company states more than thirty litigations and 1.4 million cases on the platform, and integrates with Litify. Pattern Data is based in Charlotte, North Carolina, and prices by case volume and service.
Paximal is an agentic AI patent drafting platform from Paximal, Inc., a Delaware company operating from California. A practitioner uploads invention materials, such as invention disclosures, technical specifications, design documents, system diagrams, source code excerpts and lab notes. The practitioner sets the claim focus, terminology and embodiments up front so the draft follows the intended strategy. Coordinated agents then build the sections of a full application, harmonize terminology, map features to claims and embed fallback support, producing a complete specification. The vendor calls the output Born Strong and publishes a cohort study of its own drafted applications at the USPTO covering allowance, prior art and section 112 outcomes. A preliminary prior art search report draws on Project PQAI under PQAI's own terms. Models are reached only through Microsoft Azure, and the vendor states that inputs and outputs never train any model, are never available to other customers, and are stored and processed in the United States. Buyers are patent law firms, solo and small practices, and in house IP teams, and a free pilot is offered without a sales call. The founder previously founded Specifio, whose patent drafting assets Paximal absorbed.
Self serve legal AI assistant aimed at solo attorneys, small and midsize firms and in house teams, covering research, drafting, document analysis, medical chronologies and medical billing summaries. Publishes a per user price and sells through a free trial and self signup rather than a sales process. Ships the Paxton AI Citator, a patent pending tool that reports whether a case has been overruled or affirmed, and an AI Confidence Indicator. Publishes a source library naming every federal and state database behind its research. Founded 2023, based in Palo Alto, California.
Perspective AI replaces static intake forms with adaptive conversations led by AI, marketed as Intelligent Intake and positioned as structured capture rather than a chatbot. It asks follow up questions on vague answers, adapts to responses, captures urgency and the reasoning behind an inquiry, and turns answers into the same fields a form would collect while keeping the context a form loses. The firm describes who it wants to qualify and what determines fit, and the system builds the conversation. Questions can then be adjusted, routing rules set for strong and weak fits, branding matched and the full conversation previewed before launch. The agent runs as a website widget, popup, email link or standalone page, and completed conversations arrive as structured summaries in an inbox, CRM or Slack. Named legal uses are qualifying personal injury, family law, estate planning and immigration inquiries before a paralegal makes contact. The vendor says the platform captures the parties and matter details needed to flag conflicts, and that staff then confirm against the firm's own records. The product is horizontal, also serving healthcare, financial advisory, insurance, internal requests, education and real estate. A free tier with no code templates is offered.
PERSUIT is an outside counsel management platform for corporate legal departments, covering the work between deciding a matter needs a firm and paying the invoice. It handles structured matter intake and routing, competitive requests for proposals, alternative fee arrangements and phased budgets, panel management, and electronic billing built around fee arrangements rather than hourly rates. Its AI agent, Persi, is included with the platform rather than sold separately. Persi recommends whether to insource or outsource a matter, benchmarks likely fees, shortlists panel firms and enforces a legal team's own engagement rules. It also compares returned proposals against benchmark, flags invoices that breach an agreed fee cap and builds spend dashboards on request, and each action is presented for approval before it runs. Recommendations draw on PERSUIT's own transaction dataset, which it describes as covering more than $22 billion in law firm proposals from over 4,800 firms. Managed integrations and documented APIs move matter and budget data to and from matter management, billing and business intelligence systems. Named customers include SAP, IBM, BT Group, Heineken and Nestlé.
Phaselaw is a document review and redaction platform from Phaselab, Inc. of New York, built for answering subject access requests, freedom of information and public records requests, and personnel records requests. It takes in documents, emails, chats, spreadsheets and images, removes duplicates and threads email, and lets a team mark documents in or out of scope with the reasoning recorded. Its own models suggest redactions across more than 50 categories of personal data, so that one redaction decision can be applied across a whole case. An AI search feature turns a request written in plain language into a structured search the reviewer can see and edit. Exports include combined PDFs, individual files and a summary of the exemptions and review decisions applied. Customers shown include the NHS, HMV, YMCA and the Raspberry Pi Foundation, with pages for enterprises, privacy consultants and law firms, and the public sector. Data is hosted in the United States or the United Kingdom. Pricing is quoted by annual document volume and is not published.
Philips SpeechLive is a cloud dictation, speech recognition and transcription platform sold by Speech Processing Solutions, with a legal edition, SpeechLive Legal, for solicitors, barristers, legal executives and in house counsel. Lawyers record on a mobile app, in a browser or on Philips dictation hardware, and route recordings to a typist or to speech recognition. Speech Recognition Legal is an engine tuned to legal terminology and case citations, dictates at the cursor in any program and transcribes hearings with up to ten speakers. The Legal AI Assistant, an add on, turns a dictation and any attached documents, PDFs or images into a draft on the firm's own or a system template. The lawyer edits the draft by text or voice and exports it to Word or PDF. Nothing is sent without the lawyer's approval. The platform runs on Microsoft Azure with data stored by region, uses Azure OpenAI Service hosted in Azure, and connects with iManage and Actionstep. Prices are published per user. SpeechLive reports more than 60,000 legal and business professionals as users.
Plexus is a legal operations platform for in house legal teams, sold as an AI powered Legal OS. Business users raise requests through guided intake forms that assign each matter to the right lawyer or team, and AI fills intake answers from an uploaded contract. Contracts are drafted from templates, negotiated, approved under delegation of authority rules and signed through an embedded DocuSign integration. Plexus AI reviews each new contract against the customer's precedents, producing an executive summary, a risk summary and a clause table. Its redline cards in Word change a document only when a user accepts them. Plexus Counsel answers questions across up to ten documents and follows playbooks set by the legal team. Marketing Wizard checks marketing assets against more than 230 Australian laws and codes and sends high risk items to legal, and Promotion Wizard produces trade promotion terms that Plexus's own lawyers review as legal advice. The AI runs on OpenAI's enterprise models, with contract review on Amazon Bedrock in Australia. Founded in Melbourne in 2011 as a law firm, Plexus launched its platform in 2017 and sold its legal secondment arm to Axiom in 2022. ENGIE Australia, Caidya and Lion are named customers, and prices are quoted per Professional User license.
PointOne is an AI timekeeping and billing platform for law firms and government legal offices. Its Time product captures a lawyer's working day across documents, email, calls and the web and writes the time entries itself. It offers retroactive capture over any date range and generated narratives for those who prefer timers. Review is a workflow for bills before they go out, in which the AI marks up bills, flags problems and suggests fixes, with configurable routing through reviewers. Rules turns uploaded outside counsel guidelines into structured billing rules that are enforced against every entry and draft bill. Intelligence reports on how time is spent, who is available and what comparable matters cost. PointOne syncs with billing and practice management systems including Aderant, Elite 3E, Clio, Filevine, Actionstep, Surepoint, MyCase, LeanLaw and QuickBooks. PointOne Technologies, Inc. is a venture backed company in New York City. Its customers include O'Hagan Meyer, Scarinci Hollenbeck, Bell Nunnally, McCathern, Lydecker and the Minnesota Attorney General's Office, which deployed it across more than 300 timekeepers in April 2026.
PostSig is a contract performance platform for agreements after signature, from PostSig, Inc. of San Francisco, used mostly by market data, finance, procurement, legal and compliance teams at hedge funds, asset managers, banks and investment firms. Its LineageAI engine reads agreements together with their amendments, service orders, side letters, invoices and approvals to work out which terms govern now. It answers business questions such as whether an invoice matches the agreed price, when a renewal or cancellation deadline falls, what obligations and audit rights apply, and whether vendor data may be used in AI workflows, with each answer linked at clause level to its source documents. The platform also keeps an inventory of licenses and usage, tracks spend and renewals, imports signed agreements from DocuSign, and offers a governed MCP connection for enterprise AI assistants such as Claude and ChatGPT. A separate Investor Rights Intelligence product tracks investor rights and obligations, and VentureOS covers deal workflow, portfolio monitoring, cap tables and LP reporting for investment firms. Application services and customer data are hosted in the customer's choice of a US or EU region. PostSig says it picks an approved model for each task and is not tied to one provider. Pricing is not published.
PowerPatent is generative AI drafting software for patent applications, sold to patent attorneys, agents and the inventors who work with them. A user uploads an invention summary, a set of claims and annotated drawings, and the software produces a first draft. The draft includes a background written automatically, a preliminary claim set for review, and a detailed description written figure by figure from the part lists, with support for chemical formulas and specifications in several languages. Around the drafting sit invention disclosure capture, flowchart and drawing management, graphical claim drafting, inventor and client collaboration, Private PAIR integration, and diagnostics that flag Section 112 problems and gaps in claim support before filing. A separate Office Action product handles responses. Pricing is published: 200 tokens for 199 dollars, more at a dollar each, with enterprise licensing on request. PowerPatent, Inc. is based in Santa Clara, California, holds SOC 2 Type 2 certification and lists its own granted US patents on the site.
Pramata is an AI contract intelligence platform for enterprise legal, procurement and finance teams that turns a whole contract portfolio into structured, validated business data. Its Contract AI Engine extracts terms, obligations and commercial relationships from executed agreements into a contract repository. AI TrueCheck, launched in March 2026 and included for all customers, validates each extracted attribute in three stages: a key curated by people from representative documents, the AI extraction itself, and a separate AI validation layer. It shows live accuracy scores and audit trails on a dashboard and routes results with lower confidence to a person. AI Negotiator works inside Microsoft Word, flagging risk in incoming contracts against playbooks and comparing them with the organization's negotiation history with that counterparty. An agentic contract lifecycle layer, an AI Design Studio, a Tariff Risk Analyzer agent, Model Context Protocol connectivity and an extension for Anthropic's Claude Cowork legal plugin complete the platform. The company has operated for about twenty years, is based in San Francisco and names McKesson, ICE, AbbVie and Callaway Golf among its customers. It prices by enterprise quotation.
Pre/Dicta is a litigation prediction platform that forecasts how a federal case will resolve, motion by motion, from a case number alone. Rather than searching by keyword, it matches a matter against past cases with a similar judge profile, parties and counsel, and uses their outcomes to drive the forecast. The model draws on about two decades of federal litigation data, described as around 20 million cases and 40 million judicial decisions. It profiles judges on factors including education, appointment history, political affiliation, net worth and location. The vendor says its predictions do not depend on case facts or legal precedent. Modules cover ten motion types plus appeals, and each forecast shows the comparable cases behind it, linked to their dockets. Pre/Dicta claims 85 percent accuracy for motions to dismiss across all 94 federal district courts and describes its other motion results as modeled rather than predicted. Buyers include litigators, general counsel, private equity firms and insurers. The New York company was founded by litigator Dan Rabinowitz, launched in 2022 and acquired Gavelytics' state court assets in January 2023.
Precedent is a case automation platform for plaintiff personal injury law firms, from Precedent LLC of Charlotte, North Carolina, whose founders the company describes as insurance carrier insiders. It covers the work before litigation, from intake to demand. Claim Setup submits the claim to the carrier and returns verified policy limits, with a letter of representation generated automatically. Record Retrieval requests, takes in and tracks medical records, and an Exhibit Manager sorts, describes and renames incoming files and flags gaps in documentation. Demand Composer, the flagship, drafts the demand package from the case documents at a flat rate of $275 with unlimited pages and revisions. Other products build medical chronologies, generate demands for several plaintiffs, benchmark demands and flag the tactics an adjuster is likely to use. In what the company calls a Closed Loop Architecture, every medical fact, diagnosis and billing code in a demand is linked to its source page, and trained expert reviewers check each draft before the firm receives it. Precedent integrates with Clio, SmartAdvocate and Litify. It reports more than 100 law firms and over 50,000 demands sent.
Precisely is a contract lifecycle management platform from Precisely AB of Gothenburg, Sweden, not to be confused with the American data integrity company of the same name. Its site is preciselycontracts.com, and the older precisely.se address redirects there. It automates contracting from drafting through approval, electronic signature and archiving, for legal departments and for business teams such as sales and procurement. The company says more than 500 companies use it, among them Adverity, Flaconi and the British Council. Precisely AI extracts metadata such as values, dates and terms from uploaded contracts, summarizes key clauses and obligations, and highlights risks or deviations in third party agreements, and administrators can switch it on or off by role. By default it runs on Azure OpenAI within the EU. The platform connects to CRM systems such as Salesforce and HubSpot, supports sixteen electronic signature and identity providers, and offers single sign on. Pricing is per user license, quoted on request.
Prevail is a testimony management and court reporting platform from Prevail Legal, Inc. of San Diego, built for depositions, arbitration hearings, internal investigations and other proceedings. Its sessions combine video conferencing, exhibit management and AI generated rough transcripts available at once, with certified transcripts that Prevail says go through human review by credentialed court reporters before delivery. CheckMate, launched in February 2026, puts live transcription with speaker identification, shared notes and AI analysis on one screen, and lets a legal team query Prevail's native language model or connect its own. AI summaries produced during a deposition link each section to page and line ranges in the rough transcript, and Session Review gathers the record and the analysis after a proceeding ends. Prevail also offers AI transcription and translation in more than 90 languages and sells to federal agencies. It states SOC 2 Type 2 attestation and ISO 27001:2022 certification and hosts on AWS in the United States. Shook, Hardy & Bacon is named as a customer, and Perkins Coie and Greenberg Traurig appear among its client logos. Pricing is not published.
Prime Legal AI is an AI workspace for German lawyers, legal departments, courts and public administration that analyzes whole case files, drafts pleadings and letters, reviews contracts and researches the law. A lawyer creates a case file, uploads documents, emails and expert reports, and works on them in chat, with more than 100 tested prompts for tasks from first client inquiries to final pleadings. Research draws on more than a million decisions, on statutes and official documents at EU, federal and state level, and on publisher material, with the Otto Schmidt civil law module added in the ADVANCED plan. Sources are shown with each answer, and the language models, which the vendor selects automatically and does not name, are kept separate from a semantic search trained for legal text. An anonymization layer replaces personal data before processing. A Word add in, document transfer from DATEV Anwalt and RA-MICRO, and an API connect it to existing systems. CORE costs 199.90 euros and ADVANCED 299.90 euros per user per month on annual billing, plus VAT. QNC GmbH of Hannover, founded by the lawyer Michael Friedmann, has developed it since 2017 and is part of anwalt.de services AG.
Privado AI is a privacy engineering company whose platform finds personal data wherever an organization processes it and turns that into privacy assessments and records of processing. Its AI agent, Wren, runs the assessment cycle. It watches tools such as Jira, Confluence, Linear and procurement systems for activity that needs a privacy review. It checks each item against the customer's own playbook to decide whether a PIA, DPIA, TIA or RoPA is needed or quick guidance will do. It then fills in the assessment from documents, contracts, interview transcripts, source code and connected apps, adds evidence excerpts, flags gaps for a person to answer, and routes the result to approvers. Four other modules are sold separately: data maps built from code scans and API connections, a code scanner that finds personal data and flows in source code, a web auditor that tests consent banners, trackers and cookies from a chosen location, and an app auditor for Android and iOS. Prices are published: $600 per website per month for the web auditor, $800 per app per month for the app auditor and $4,200 per month for Wren for up to 500 assessments, all billed annually. Named customers include HP, HERE Technologies and Headspace Health. The company is incorporated in Delaware.
ProPlaintiff is an agentic AI case management platform for plaintiff personal injury firms, which the vendor positions as an operating system for an AI native practice rather than a tool added to existing software. It covers intake through litigation and combines case management with generation: AI Demand Letters, AI Medical Chronology, document generation, summaries and review, media analysis, case analysis, firm wide analytics, automations, an AI calendar for deadlines, data migration, and Ask Tiff, a conversational assistant. Demand letters cite specific medical records, bills and reports automatically, and smart citations pull from the firm's uploaded files. A drag and drop template engine saves templates, preferred language and common arguments. Permission management, system activity logs and secure case sharing are included. Buyers named are plaintiff personal injury firms, solo attorneys and paralegals, with custom deployment for firms of hundreds of attorneys; API integration is described as planned. The vendor states HIPAA compliance, encryption, storage in the United States and access limited to authorized users at the firm. It also publishes a practitioner content library on demand drafting, record review and AI oversight. Pricing is not published.
ProVision manages side letters and most favored nation (MFN) elections for lawyers who run private investment fund formations. It covers the work after a fund closes, when negotiated investor terms are scattered across execution copies, spreadsheets and email. The platform takes uploaded side letters, limited partnership agreements and master side letters, extracts provisions and investor terms while preserving the original legal text, and builds a single master side letter view a team can search, compare and merge. It then runs the MFN process, generating election forms for each investor in PDF and Word, distributing them with anonymization and tracking responses into one record. The company says the platform does not require AI to run, and that AI is applied where it adds value, with guardrails that keep control of outputs with the lawyer. Deployment is single tenant on Amazon Web Services, with a dedicated instance per customer. ProVision is made by Intelligent Legal Solutions (ILS) Limited of London, founded in 2024 by Fergus Plant and Jack McCarthy, formerly of the funds teams at Goodwin and Proskauer, with Stefano Benigni. Named customers include Cleary Gottlieb, Fried Frank, Goodwin, Paul Weiss, Proskauer, Ropes & Gray and Willkie Farr & Gallagher.
Prudencia.ai is an AI legal assistant for Spanish legal professionals that researches statutes and case law, drafts claims, appeals and contracts, reviews contracts for risky clauses and answers legal questions. Its answers draw on official sources rather than the open web, including consolidated legislation from the Official State Gazette and the regional gazettes, case law from the judiciary's documentation center CENDOJ, and the doctrine of regulators. Each cited judgment is checked against that collection and linked to its source. Users upload documents and audio, keep a private knowledge base of the firm's own templates and precedents, build custom assistants and share case files across a team. It is sold self serve, from a free plan to Pro at 79 euros a month and Teams for two to five users, with an Enterprise plan quoted on request. Customers include solo lawyers, law firms, advisory firms, in house departments and public bodies. Data is hosted on Amazon Web Services in Spain, and OpenAI and Anthropic are listed as its AI processors. Prudencia.ai is operated by ELIA IA LEGAL, S.L. of Barcelona, founded by a practicing lawyer and an AI engineer.
Qanooni is a legal AI platform for law firms from Qanooni AI Ltd, a company registered in Dubai's DIFC free zone and sold mainly to firms in the United Kingdom and the UAE. It runs inside Microsoft Word, Outlook and Teams rather than as a separate application. QMatters is the foundation. It reads the emails, documents and files connected to a matter, builds a graph of the parties, facts and timeline, and sets more than 5,000 live legal authorities beside them. Three modules work on that foundation. QCounsel takes a plain English request and runs multistep work across the file, such as chronologies, bundle summaries, party maps and tables of dates and obligations. QDraft writes agreements and client emails in the firm's own style from its precedents. QRedline reviews counterparty paper against the firm's playbook and marks it up in track changes with fallback wording. Every answer cites the document or authority behind it. An Actionstep integration brings matter context into Word and saves finished work back to the matter. More than 150 firms in 11 countries use Qanooni by its own count, and prices are quoted after a demo.
qatent is a self service AI patent drafting product sold by Questel, which acquired the company in March 2024. According to Questel's announcement, qatent began at the INRIA Paris research center and was founded by French patent attorneys and German AI researchers. A user generates a first draft of a patent application from its claims, all at once or section by section, in a format ready for a PCT filing. The product also generates claims with novelty diagnostics, models a draft on an existing patent and describes drawings with machine vision. Drafting is offered in four languages, among them English, French and Chinese, for patent attorneys and for newcomers to patent drafting. qatent is priced at 200 euros per user a month or 2,000 euros per user a year, excluding tax, with no long term commitment. Questel says qatent runs on its architecture in Sophia-Antipolis, France, with Microsoft Azure as its AI provider, and that models are never improved on customer data. Questel is certified to ISO/IEC 27001 and sells qatent alongside its Orbit search and Equinox IP management software.
Querious is an AI notetaker for lawyers from Querious, Inc., a Delaware company, sold under the name Legal Conversational Intelligence. It joins client conversations on Zoom, Microsoft Teams and Google Meet, and handles phone calls and in person meetings through a desktop app. During the conversation, patented real time features surface legal issues, follow up questions and relevant statutes, regulations or guidance, capture planned questions and track follow up tasks. Afterward it produces structured notes, a summary email and a drafted time entry with a billing narrative, which the lawyer reviews and sends to the matter in Clio, 8am MyCase or Smokeball. Audio is processed as it streams and never stored, no verbatim transcript is kept unless a user turns that on, personal details are removed before analysis, and voiceprints are destroyed within a minute of each meeting. Models from OpenAI and Anthropic run in private instances inside Querious's Microsoft Azure environment. Plans start at $59.99 a member a month, with the real time features at $99.99 and enterprise pricing on request.
Questel is an intellectual property suite covering patents, trademarks, designs, domain names and innovation management, sold to corporate IP departments, law firms and R&D teams. Its software falls into three families. Orbit handles search and analytics, with Orbit Intelligence for patent search and analysis and specialist modules for biosequences and chemistry. Equinox is the IP management system, sold in corporate and law firm editions and covering docketing, forecasting and electronic billing. Markify handles trademark clearance and watching. AI assistants sit on top: the AI-Classifier for patent classification, generative patent drafting from the qatent acquisition, Qthena for prosecution workflow, and Sophia, an agent that works across the platform. Questel publishes an Artificial Intelligence Policy and a Trusted AI page naming the models behind its generative features. A large services arm runs beside the software, handling searches, international filings, translation and renewals through a network the company describes as 320 agents and 1,200 translators. Questel SAS is registered in Paris and reports more than 1,700 staff and over 20,000 clients across 30 countries. It is ISO 27001 certified, and Frederic Beylier is chief executive.
Quilia is a case app for the clients of personal injury and workers' compensation firms, from Record System, Inc. of Las Vegas, Nevada. The firm invites its client from its case management system, and the client gets a text and installs the app. From then on the client records treatment visits, pain scores and photographs, uploads police reports, medical records and bills, signs documents and messages the firm. Quilia's AI reads what arrives, extracts dates, providers and treatment details, files documents in order, asks the client to confirm what it found before anything lands on the case, and tracks treatment for gaps. An AI case assistant called ℚ, which the vendor describes as rolling out, reads a client their own file in plain language under published limits. Everything syncs both ways with the firm's case management system, with named integrations for Clio, Filevine and Litify among others, plus Zapier, an API and a Model Context Protocol connection. Quilia states HIPAA compliance, US servers and no training of AI models on customer data, and publishes no independent security attestation of its own. Fees are set per case tier in an order form and are not published.
Quillio, formerly AI Legal Assistant, is an AI assistant for Australian and New Zealand lawyers from AI Legal Assistant Pty Ltd, which rebranded the product on 16 June 2026. It was founded by Samuel Junghenn, a Queensland lawyer whose Brisbane firm, Creo Legal, was its first customer. Legal research answers plain English questions from federal, state and territory legislation and case law and New Zealand law, linking every point to its authority. Document review covers contracts, leases and briefs, and drafting produces letters of advice, contracts and submissions. Automated chronologies, a document index and data room, voice dictation and a discussion assistant round out the product, with a Word add in and iOS and Android apps. Two way integrations connect it to Clio, Smokeball, OneLaw, Actionstep, iManage and NetDocuments, and to LEAP through Word. Client data stays on Australian infrastructure, and an enterprise option keeps AI processing in Australia too. Pricing is per user on quarterly or 12 month terms, with figures shown in the free trial.
Qura is an AI legal research platform from Qura AB of Stockholm, founded in 2024, covering Swedish and EU law. A user describes a question in natural language, and Qura searches more than 1,000 sources, among them case law, legislation and legal literature, through an ontology the company says maps 276 million connections between statutes, recitals, case law and guidance. Qura says it follows a strict zero content generation policy: it returns ranked legal sources with references to the original text rather than generating answers. Its literature comes partly from data partnerships with the publishers Iustus and Studentlitteratur. Customers named on its site include the law firms Foyen, edpLaw and Bokwall Rislund, and students at several Swedish universities can sign up with a university email. Qura says customer data is never used for AI training, that all data is hosted in the EU, and that it follows the Swedish Bar Association's security and confidentiality demands on data processors. Legora acquired Qura in April 2026 and said the Qura team would join its legal research organization. Qura's own site continues under its name with a free trial. Pricing is not published.
Rain Intelligence sells litigation intelligence to law firms that want to reach a client before a complaint is filed. It ingests court dockets, plaintiff firm advertising, regulatory and corporate filings, news and other web signals from what it describes as more than 200 sources. It enriches them into entities, forecasts, damages estimates and practice area tags, and matches each opportunity to the attorney best placed to act on it by practice, prior matters and client relationships. Subscribers receive a personalized daily report, alerts in real time, and a structured prediction database delivered into systems such as Outlook, Salesforce and iManage. Alerts arrive as dossiers setting out the fact pattern, the companies at risk, theories of liability and which of the firm's own clients are exposed. Plaintiff firms use it to originate class actions and mass torts, and defense firms to warn clients of litigation aimed at them. Rain Intelligence LLC is based at 2 Embarcadero Center in San Francisco and sells on an annual subscription with a services order form.
Red Oak is a financial services compliance platform from Red Oak Compliance Solutions of Austin, Texas, sold to broker dealers, registered investment advisers, banks and insurers. Its core is a configurable workflow engine for advertising and marketing review that meets books and records rules. Firms build their own review workflows with a rules engine, parallel reviews, their own questions, document and video annotations, document stamping, full audit trails and SEC 17a-4 retention, and file directly with FINRA through an AREF integration that also retrieves and stores comment letters. Around that sit disclosure management, registration and licensing management, and a supervision suite covering advisers' online presence, social media approval and archiving, and monitoring of third party websites. A distribution platform pushes approved content to advisers. The AI Review module uses large language models with prompts engineered to the firm's own policies to give marketers compliance feedback before formal submission, and customers can bring their own model. Red Oak also sells compliance consulting and an outsourced chief compliance officer service. In July 2026 it combined with MirrorWeb, and the combined company operates under the Red Oak name.
Red Points is an AI brand protection platform that finds and removes counterfeit listings, fake websites, impersonating profiles, fraudulent ads and pirated content for its customers. Its models scan more than 5,000 platforms, including marketplaces, social networks, search engines, app stores, domains and mainland China platforms, using image, logo, packaging and text recognition trained on each protected brand asset. It scores the seller behind a listing across more than 17 million seller identities. Enforcement runs through direct API integrations and more than 300 removal agreements with platforms, and every detection is logged and packaged as evidence formatted to the infringement type, platform and jurisdiction. The platform is sold in tiers from Starter to Enterprise across five programs, covering counterfeits, gray market and unauthorized distribution, brand impersonation, domain abuse and piracy, each charged as a flat fee for an agreed scope. Services such as investigations, test purchases, IP registration and domain disputes can be added. Red Points reports more than 1,300 brand customers.
Referent is AI native practice management for solo lawyers and small firms, built by AI Lawtech sp. z o.o. of Radom, Poland, the team behind the consumer product AI Lawyer. It combines a legal CRM for leads, intake and matters with AI agents that run routine work from the firm's live matter context. A prospective client talks to an AI at an intake link that screens fit, opens the matter and prepares the engagement. Agents file email to the right matter with drafted replies, track deadlines, draft letters and documents, capture time, prepare bills and run follow ups. Anything client facing or high risk waits in the lawyer's approval queue, and every agent action goes to an audit trail. It connects to Gmail, Google Calendar and Google Drive, with Outlook and Microsoft 365 listed as coming, and runs a Model Context Protocol server so firms can work from ChatGPT, Claude, Gemini and other assistants. The company is based in Poland and building for US firms, and its security page says data is hosted on Google Cloud with US and EU regional separation. Referent starts with a free plan, and paid plans include AI usage; paid prices are not published.
Reflekt Legal sells AI employees that answer a law firm's phones and run its intake. Reflekt Legal Inc. is based in Austin, Texas, and the product was previously called Lead Autopilot. The AI receptionist answers every inbound call around the clock in English and more than 15 other languages. It works out who is calling and runs the firm's own intake script, with structured interviews of 30 to 50 questions for practices that need them. Each call ends in a live transfer, a booked consultation, a text or email, a referral or a message, under rules the firm sets. Transcripts, recordings and a structured summary are written straight into the firm's case management system, with Clio, Filevine, Lead Docket, Litify, MyCase, Smokeball and about twenty other systems supported. Outbound agents follow up with new leads within seconds, remind clients of appointments, track personal injury treatment and call on past due invoices. Conversations run on OpenAI models with ElevenLabs voices, hosted on Google Cloud in separate United States and Canadian deployments. Prices are public: a free plan for 30 calls a month, Base at $500 a month and Growth at $1,000, with Enterprise quoted. Named customers include Earley Law Group, Fears Dudley Injury Law and the immigration firm Shamieh, Shamieh & Ternieden.
Regology is an AI regulatory intelligence platform for compliance, legal and risk teams, now sold as Bloomberg Regology. It is built around the proprietary Smart Law Library and three AI agents for Regulatory Change, Compliance and Research, with the Reggi assistant answering regulatory questions with citations. It identifies which laws apply to an organization and monitors bills, laws, regulations and agency updates in real time across federal and state law in the United States and more than 135 countries. It then generates obligations, risks, controls and policies mapped to the source law. It works as a regulatory intelligence and data layer beside governance, risk and compliance systems such as ServiceNow, Archer and Diligent, and customers can import existing law libraries from spreadsheets and PDFs. Reggi is free for individual use, and the Professional plan costs $1,700 per user a month on a three year contract. Founded in 2017 in Palo Alto by former PwC compliance professionals, Regology was acquired by Bloomberg Industry Group on 3 June 2026. Its terms of service commit to prompt notice of legal process, return or destruction of customer information on request, a twelve month liability cap and an intellectual property indemnity.
Relativity sells Relativity aiR, the ediscovery and legal data platform formerly called RelativityOne, built on Microsoft Azure for law firms, corporations, government agencies and legal service providers. It covers legal hold, collection from sources such as Microsoft 365, Google Workspace, Slack and enterprise AI tools, processing, review, production and analytics. The generative products are aiR Review, Privilege, Case Strategy, Data Breach Response and Assist, with claiR, a conversational assistant for lawyers, announced as coming soon. Gavel, acquired on 12 June 2026, adds drafting in Microsoft Word, and an MCP server connects assistants such as Claude, Gemini, Copilot and ChatGPT. aiR Government runs on Azure Government in the continental United States. Relativity states that 193 of the Am Law 200 use it, with more than 350,000 users and over 80 certified partners in more than 30 countries.
Relyance AI maps where personal and sensitive data goes inside an organization and ties each flow to the obligation that governs it. Instead of questionnaires and manually kept inventories, it discovers data movement from several points at once, reading source code, watching runtime behavior, scanning contracts and connecting to systems directly. Its Data Journeys technology keeps the result as a live graph from code through cloud infrastructure to AI models, and its Data Exposure Graph joins sensitive data, the identities that hold permissions over it, and the behavior of AI agents. Three product layers sit on top. Privacy automation builds records of processing activities and data maps from live flows and runs consent, assessments and data subject requests. AI governance inventories agents, models and MCP servers and can block an agent with too much reach in the CI/CD pipeline. Data security classifies sensitive information and watches it in motion. Setup is agentless. Customers include Notion, Logitech and Zscaler. Relyance Inc. is based in San Mateo, California, and was founded by a data privacy lawyer and a machine learning engineer.
RequirementONE is a regulatory change platform for compliance teams. It monitors the websites of regulators, industry bodies and standards organizations worldwide, turns their publications into a standard format whatever the language, and delivers the updates a team has chosen by source and topic. Teams triage each update, assess its impact and track the actions it needs in shared task lists with a full change history. Generative AI runs inside the platform for summaries, reports and translation of publications, and the top tier adds AI extraction of insights. The same no code toolkit lets customers build apps for policy management, risk management, ESG reporting and other processes, with workflow automation and reporting through their own reporting tool. Its published case study is a central regulatory watch team at an international financial services firm working across several languages. Pricing is public, per user and per monitored source each month, from a free newsletter tier to Enterprise, in five currencies. The platform runs on Microsoft Azure, either in a shared public cloud near the customer's users or in a private cloud built to the customer's location and security needs. RequirementONE Group Limited is based in London and led by cofounders Martin Gorm Pedersen and Helen Dann. Its terms of service, data processing agreement and customer success agreement are published.
Rescript is a Washington, DC company, founded in 2023, that sells AI for legal and public policy work. Its platform researches, tracks and organizes laws and policy across federal, state and local jurisdictions. It answers natural language questions with citations, monitors legislation, proposed regulations, hearings and comment windows by client or issue, and produces 50 state surveys, memos and reports. It transcribes hearings as they happen and turns them into memos with speaker identification. It flags relevant changes among thousands of new bills and rules, with redlines between versions, and groups public comments on proposed rules by theme and stakeholder position. The vendor says it tracks more than 50,000 bills across all 50 states and lists AmLaw 100 law firms, Bloomberg Government, top 10 lobbying firms and Fortune 100 companies among its users. Its Terms of Use state that some outputs are written with GPT-4 from OpenAI.
Responsiv is a regulatory change platform used by compliance and in house legal teams at banks, broker dealers, asset managers, insurers and consumer technology companies. It monitors regulatory sources across more than 50 jurisdictions, routes changes to the people responsible, and breaks regulatory text into discrete requirements. It maps those requirements to a firm's own policies and controls so that gaps can be assigned, tracked and closed. Policy Scanner reads an uploaded policy and returns a ranked list of the rules driving it, each with a short rationale and a relevance score a reviewer accepts or dismisses. Policy Manager holds the policy library, and an agentic research feature answers regulatory questions with citations to the regulation, article and paragraph. The platform keeps a timestamped record of compliance decisions for examinations. Responsiv AI, Inc. is a venture backed company based in Chicago, Illinois, and its terms describe the service as an informational system for attorneys, paralegals and legal researchers that does not provide legal advice.
Rev, from Rev.com, Inc. of Austin, Texas, is an investigative intelligence and legal transcription platform for criminal prosecution and defense teams, civil law firms, law enforcement and court reporting agencies. It transcribes audio and video with its own speech recognition models and analyzes up to 500 case files at once across audio, video, documents and images, with every finding cited back to a timestamp or page and line. It drafts investigative summaries, chronologies, affidavits and briefs in a document editor, searches case photos for people and details, and offers prebuilt and custom workflow templates, with a mobile app for recording interviews. Services verified by people sit beside the platform: human transcription and captions, rough draft and premium legal transcripts, self service court reporting, and deposition summaries from SmartDepo, which Rev acquired. Plans run from free to $59.99 per seat per month, with an Unlimited plan quoted.
Reveal is an AI powered ediscovery and investigations platform covering the full EDRM, from legal hold and processing through early case assessment, review, analytics and production, and handling more than 900 file formats. It was assembled through acquisitions: Mindseye for processing, NexLP for data science, which became Reveal AI, and Brainspace for visual analytics and concept search, brought together in Reveal 11. The wider suite includes Logikcull for self service ediscovery, Onna for information governance, Reveal Hold, Discovery Manager and Trial Director. Machine learning runs throughout, with a library of more than 30 prebuilt models for recurring investigation types such as harassment and discrimination, custom models customers train themselves, predictive scoring, concept search, clustering, translation, transcription and sentiment analysis. Generative review runs on aji, generally available since 30 September 2025, which gives reasoning for every rating and citations in the text, with a hybrid mode that pairs it with the supervised classifiers. Ask, the earlier generative feature, answers natural language questions with supporting materials. Cloud and private deployment inside the customer's firewall are both offered. Reveal is backed by a $250m investment from K1 Investment Management.
Contract review, drafting and negotiation platform for in house legal teams and law firms handling high volumes of incoming contracts. Delivered through a Microsoft Word add in with Ask, Draft, Edit and Research modes alongside a browser application with a searchable repository of executed contracts. Reviews against customer playbooks, with the vendor's own legal team building and maintaining those playbooks as a managed service, including separate heavy and light markup positions for the same contract type. Also sells Managed Services as a distinct line, combining the software with human legal review. Founded in London in 2019, with offices in New York and Singapore. Partners with Anthropic and AWS, and is backed by Google, Temasek and PayPal Ventures among others.
Rocket Lawyer is an online legal platform for individuals and small businesses. It sells document creation, RocketSign electronic signature, business formation and filings, and Rocket Copilot, a conversational AI assistant that answers legal questions, drafts documents and reviews uploaded contracts, alongside access to attorneys. Rocket Lawyer Incorporated, a Delaware corporation based in San Francisco, states that it is not a law firm. Legal advice and representation are provided under separate agreements by its wholly owned subsidiary Rocket Legal Professional Services, Inc., and by independent External Pro attorneys. Rocket Legal Professional Services is an Arizona Alternative Business Structure law firm authorized by the Arizona Supreme Court in September 2024. Rocket Copilot was built with Google Cloud's Vertex AI and Dialogflow, according to the company's 2023 launch release. The platform is sold through a free account, purchases of single items and Rocket Legal memberships, with group legal benefits for employers. This profile covers the software and Rocket Copilot, not the legal services.
RubyLaw is a content management and marketing platform built for law firm websites, made by RubyLaw, LLC of New York, formerly RubensteinTech, whose president and founder is Jaron Rubenstein. Its headless CMS runs firm websites and blogs with drafts, approval workflows, scheduling and visitor personalization, and RubyLaw Express brings the same system to smaller firms. Ruby, the RubyLaw AI Assistant built into the CMS, drafts bios, news and other pages, aligns tone and checks grammar and consistency. It also repurposes content for social posts and newsletters, suggests changes for SEO and AI answer engines, and takes plain language commands for routine edits. AI Smart Search, which uses Google Gemini, answers website visitors' questions from the firm's own content. Other modules build proposals in Word, PowerPoint and PDF, manage attorney and practice experience, generate styled documents, scan for errors and banned terms, and expose content through a REST API. RubyLaw's data processing addendum names Google Gemini and Amazon AWS in the United States as subprocessors. Clients shown on its site include Akin, Pillsbury, Winston & Strawn, Wilson Sonsini, Finnegan and Bryan Cave Leighton Paisner. Pricing is quoted on request.
Ruli is an AI legal platform from Ruli, Inc. of Austin, Texas, built for in house legal teams. Its Assistant answers research questions across US, EU and UK laws and regulations and the team's own playbooks, policies and precedents, with citations, and drafts memos. A Word and Google Docs extension reviews contracts against playbooks, flags risks and deviations with a pass, partial or fail status, and applies preferred or fallback language as tracked changes. Tabular Review extracts clauses and risks across hundreds of contracts for due diligence, and Monitor tracks legal and regulatory change against the company's risk profile. The platform runs on Amazon Web Services in the United States, and OpenAI is among its listed subprocessors for AI models. Named customers include Sequoia, MasterClass and Newsweek. Pricing is not published.
Saga is a legal AI platform from Saga International B.V. in Amsterdam, with Norwegian roots, used by more than 500 legal teams and law firms in over 25 countries. Lawyers work in Projects that gather case documents, case law and regulations. Research draws on case law, legislation and regulation from 44 jurisdictions, refreshed every 24 hours, including content from publishers such as Lovdata, Rettsdata and NL Fiscaal. Every answer links to its source, and Saga says so when no reliable source exists. Grid Review analyzes large document sets in a table, assistants can be built to challenge an argument or play a judge, and a workflow builder sets how much agency each workflow gets. A Word add in reviews and edits against playbooks, an Outlook add in drafts email and files it to a Project, and whole documents translate into more than 50 languages with their formatting kept. The platform is model agnostic and offers current models from OpenAI and Anthropic. Saga Amplify adds onboarding, training and legal engineering. Solo costs €135 a month on a yearly term, and firm plans are quoted.
Saifr is a compliance AI business of FMR LLC, the parent of Fidelity Investments, incubated in Fidelity Labs and operated through Fidelity Labs, LLC and Saifr.ai, LLC. Its products are AI agents and models for financial services compliance. SaifrReview checks marketing content against FINRA Rule 2210, SEC Rule 482 and the SEC Marketing Rule, flags risky language and images, explains the risk and suggests more compliant wording. It works through a collaborative review tool, add ins for Microsoft 365 and Google Docs, Adobe GenStudio for Performance Marketing and an API, with versions for banking and for life insurance and annuities. SaifrScreen screens clients and counterparties against adverse media and sanctions for AML and KYC work, and Saifr eComms surveils electronic communications. Selected Saifr models are offered in the Microsoft Azure AI Foundry catalog. Saifr says SaifrReview and SaifrScreen are SOC 2 Type 2 certified and that its products are not intended to replace a user's legal or compliance functions. License pricing is per user or enterprise, without published figures.
Sandstone is an AI platform for in house legal departments built around the intake, routing and execution of legal requests. Requests arrive from Slack, email, Jira, ServiceNow and the other systems the business already uses, and agents read the intent, gather counterparty history and route work to the lawyer with the right expertise and capacity. A repository holds documents, companies, people and past decisions, and playbooks built from a team's own templates, redlines and policies learn with each use so negotiating positions stay consistent across the organization. Agentic workflows redline, draft and reply to comments, completing simpler work and handing more complex matters to a lawyer, while reporting aggregates cycle times, risk exposure, capacity and deviation rates. The product works through a Microsoft Word add-in, a Google Workspace add-on and a stated fifty or more integrations including Salesforce, Ironclad, SharePoint, Coupa and Workday. Sandstone publishes its platform terms of service, data processing agreement, security policy and privacy policy in full, and states SOC 2 Type 2 certification and zero data retention agreements with its model providers. Named customers include Middesk, MasterClass, Crexi, Ocrolus and Hypertherm. Sandstone is the trading name of Glaze AI, Inc.
Sapient-IA is the generative AI system of the Italian legal publisher Lefebvre Giuffrè, built to work only from the publisher's own editorial sources. Its core product, Sapient-IA Assistant, analyzes and summarizes documents, frames a question across legal, tax and labor topics in one answer, builds research paths through Lefebvre Giuffrè content, and drafts and checks documents. Answers name the documents used to build them, and case law cited in the publisher's commented codes can be opened in the DeJure database. Smart Tasks add guided workflows in which a user uploads a document and follows steps instead of writing a prompt. It is sold through Lefebvre Giuffrè agents to legal, tax and labor professionals and to companies, beside two related products: DocuSmart Sapient-IA for case documents and Case Manager Sapient-IA for criminal proceedings, developed with AI4LEX. The infrastructure is hosted on AWS in Europe. Sapient-IA launched on 15 April 2025 and is published by Giuffrè Francis Lefebvre S.p.A. of Milan, part of the Lefebvre group, known until 2025 as Lefebvre Sarrut.
Scorpion is a digital marketing company for law firms and other local businesses, run by Scorpion Enterprises, LLC under founder and chief executive Rustin Kretz. Its law firm offer, RevenueMAX, pairs a website Scorpion builds and hosts with AI products that run the marketing around it. Ranking AI steers SEO, while Advertising AI and Budgets AI place and fund paid campaigns on Google, Microsoft, Meta and ChatGPT. Landing Page AI writes and rearranges landing pages, and Reputation AI times review requests and replies automatically to five star reviews. Convert answers calls, texts, chats and form leads with an AI voice assistant and a messaging assistant that book consultations. Leads AI rates each inquiry, and Revenue Intelligence ties spend to signed cases and case value using data drawn daily from Clio Manage. Scorpion and Clio name each other sole preferred partners. Firms work in a client platform at app.scorpion.co with a dedicated account team. The law firm pages cover personal injury, criminal defense, family law, immigration, estate and probate, bankruptcy and employment practices, and Scorpion says it has worked with thousands of firms. Prices are quoted on request, with a 12 month platform term and month to month advertising.
Securiti sells what it calls the DataAI Command Platform, built on a knowledge graph that maps data and AI objects across hybrid multicloud, SaaS and on premises systems, in four pillars for different teams. The privacy pillar is the one legal and privacy counsel own: automated data mapping for records of processing activity, data subject request handling from intake to secure delivery, privacy and AI impact assessments, consent management, breach management with notification workflows, a consumer privacy center, and compliance management against regimes including GDPR, CPRA, LGPD, PIPEDA and PIPL. The security pillar covers data security posture, discovery and classification, access intelligence and data flow governance. The governance pillar adds a data catalog, lineage and quality. The fourth pillar, Gencore AI, is infrastructure for customers building their own AI: preparing data for vector databases and model training, firewalls for prompts, retrieval and responses, and enterprise copilots. Securiti states more than a thousand integrations, including AWS, GCP, Azure, Snowflake and Databricks, and runs separate Global and EU production clouds with no data exchange between them. Securiti, LLC. of San Jose, California, is led by Rehan Jalil and was acquired by Veeam.
Silex is a legal research platform for Swiss law from Ex Nunc Intelligence SA of Lausanne, a spin off of EPFL that worked in stealth from 2023 and launched in 2025. A question in French, German, Italian or English returns an answer reasoned over federal and cantonal legislation, court decisions, doctrine and commentary, with every statement cited to its source. The collection holds more than 800,000 sources, is updated daily and can be scoped by canton, field of law and source type, including FINMA circulars. Answers turn into first drafts of memos, letters and clauses with citations carried through and export to Word or PDF. Agents anonymize, translate, compare documents, transcribe audio, write meeting minutes and fill notarial documents, and Silo lets a firm query its own documents beside the public sources. Silex runs on self hosted language models, stores all data on Infomaniak in Geneva and processes it on Azure in Switzerland North. It names more than 800 law firms, notaries, fiduciaries and legal departments as users. Plans start at CHF 149 a month for one user, with Team and Enterprise tiers and custom contracts.
A midmarket legal management platform for in house legal teams, covering electronic billing and invoice review, matter management and intake, vendor management, budgets, accruals and forecasting, reporting and document storage. Its owner positions it as delivering operational control and visibility into spend without the implementation load of an enterprise system, and sets it apart from the enterprise platform in the same portfolio. CounselGO is the portal through which outside counsel work with the legal team. The AI layer is InvoiceAI, introduced in 2021 across this product and its parent's platform. Its machine learning models, trained on millions of legal invoice charges, look for issues that conventional billing rules miss, such as block billing and vague descriptions, and keep learning as invoice corrections are made. SimpleLegal was founded in 2013 and acquired by Onit in May 2019, four months after K1 Investment Management invested $200m in the acquirer. The owner states the platform serves more than 550 corporate legal departments and processes $5.2bn in annual legal spend.
Simpliciter is an AI legal research and drafting assistant for Italian legal professionals, built on a database of Italian and European law. Questions are asked in plain Italian in a chat, and answers draw on the database or on the user's own documents, with the sources set out for checking. The collection holds more than 3 million decisions from Italy's high, administrative and lower courts, national legislation from Normattiva updated weekly, EU law and case law, and the National Bar Council's ethics database, with optional modules for areas such as tax and labor. Users can analyze uploaded files, draft filings, opinions and contracts, build private databases, and connect the legal sources to other assistants through an MCP connector. It is sold self serve from 29 euros a month to lawyers and law firms, with pages for notaries, magistrates and other professions, and the company says more than 45,000 professionals use it. Content is stored in the European Union, with AI inference by Anthropic, Mistral AI and Google Cloud under zero data retention terms. Simpliciter is operated by Atmos Media S.r.l. of Turin.
SimplyConvert is an intake, client relationship and case management platform for plaintiff and mass tort firms, founded by a mass tort lawyer, covering first contact through intake, filing and resolution. Its core is the Instant Case Evaluator chatbot, which screens potential cases around the clock against criteria set by lawyers, gives instant legal guidance, and automatically retains qualified clients and rejects unqualified leads. Around it sit a legal CRM, referral management with tracking of communications and fee agreements, live chat and contact form replacements, call center integration, scripts that guide staff through manual intakes, and email drip campaigns by litigation area. Litigation products include Mass Torts 360, a Camp Lejeune Litigation Platform for intake, data management and administrative filing, and the Boy Scout TDP Quantifier, built with lawyers and trauma specialists and paired with trauma informed client outreach and claim form population. The vendor claims up to 400 percent more engagement than live chat and an audit finding that up to 75 percent of paid live chat leads were unreachable or had already hired another lawyer. Its Camp Lejeune claim work was featured on NBC News. Pricing is not published. It is not Case IQ (caseiq.com), which is investigations software.
SingleFile keeps US business entities in good standing and gives the people responsible for them one place to see everything. It acts as registered agent in all fifty states, the District of Columbia and Puerto Rico, scanning service of process and government mail into the customer's account the day it arrives. Around that sits the filing work a corporate calendar generates, from annual reports and franchise tax filings to formations, foreign qualifications and UCC-1 filings. The platform holds the entity record underneath, with formation documents and officer and ownership data in a searchable vault, and a compliance calendar that tracks each entity against every state it is qualified in. Org Charts turns ownership data into diagrams a team can edit with plain instructions and export as PDFs. The AI layer, sold as SingleFile Intelligence, mostly works behind the service: it researches each state's requirements, fills intake forms from data already held and flags gaps, and the company's own compliance specialists approve every filing before it goes out. Law firms can hold client entities in separate workspaces and have SingleFile invoice their clients directly.
Sirion is an enterprise contract lifecycle platform built around three product lines. Store covers AI extraction, a contract repository and conversational search. Create covers drafting, negotiation and collaboration, and Manage covers performance, governance and obligation risk. On top sits agentOS, a layer for building, testing and deploying custom agents, linking them to each other and to enterprise data, and running processes across systems. The interface is conversational, and answers are said to carry citations back to the customer's own data. The vendor's figures describe product capabilities rather than customer results, such as 90 percent faster contract centralization and 99 percent on time obligation compliance. It sells to eight named industries, including financial services, insurance, healthcare, pharmaceuticals, telecom and oil and gas, and to in house legal, legal operations, procurement, sales and finance. Its SaaS terms, end user agreement and data processing addendum are published, and the addendum says each customer's data sits in its own application instance. It runs on AWS, Azure, Oracle and IBM clouds, and its trust center states ISO 27001:2022 certification. The same trust center describes SOC 1 Type II and SOC 2 Type II reports, which its security page ties to those cloud providers. Sirion has traded since 2012 and names customers including Citi, GE, Coca-Cola, Chevron, Bayer, Rolls-Royce and Zalando.
SixFifty is an employment law compliance platform from SixFifty Technologies, LLC of Salt Lake City, sold to HR teams, in house legal departments, HR consultants and PEOs, and startups. A Research module holds federal, state and local US employment law, written and maintained by SixFifty's own attorneys, covering all 50 states and a published list of counties and cities. A document builder generates handbooks, offer letters, employment agreements, separation paperwork and policies through a guided question flow the legal team wrote, with an editor and version history; Privacy Docs and Business Docs lines cover state privacy compliance and routine corporate paperwork. A legal updates service tracks changes in the law, sends a monthly summary and offers suggested redlines that customers merge into documents already generated. Ask SixFifty AI answers plain language questions by retrieval over the Research database and links each answer to its entries, and an AI merge applies the legal team's updates to a customer's documents. All AI features run on hosted OpenAI models. The company was founded in 2019 with backing from the law firm Wilson Sonsini. Pricing is by number of employees and states, with unlimited users and no published figure.
Skribe is a deposition platform from Skribe, Inc. of Austin, Texas that records legal testimony without a stenographer and turns it into searchable material. Litigators host depositions, examinations under oath and other sworn proceedings on Zoom or in person. A Skribe digital reporter, who is a notary, swears in the witness and monitors the recording, and the audio and video recording is the official record. Automatic speech recognition produces a rough transcript synced to the video the same day, and a final transcript proofread by a person, with a sworn declaration of accuracy, follows in five to seven days. Inside the platform, AI finds key moments, summarizes testimony and answers questions with links to the exact point in the video, and users can clip and share video. A separate Library product processes existing audio and video files. Skribe publishes its prices: $99 per hour for Library and $379 per record hour for hosted depositions, with a surcharge for sessions held in person. Its digital reporters are not certified shorthand reporters, and the method depends on court and state rules that permit depositions recorded without a stenographer.
Smarsh is a communications capture, archiving, surveillance and discovery platform from Smarsh Inc. of Portland, Oregon. Financial services firms are its main users, alongside public sector bodies, energy and utilities and life sciences companies, and they use it to meet recordkeeping and supervision rules such as SEC Rule 17a-4 and FINRA supervision requirements. It captures email, instant messaging, collaboration tools, mobile messaging including WhatsApp, voice and social media into a retained archive with legal holds and exports. Its AI layer includes agents that suppress surveillance alerts of low relevance and detect misconduct in full conversational context across languages, and an AI Assistant that summarizes and translates communications. A Discovery Agent for legal investigations produces summaries, timelines and custodian mapping to narrow what is exported to outside counsel. Smarsh publishes its Services Agreement, which provides for retention set by the client, annual ISO 27001 and SSAE 18 audits and notice of compelled disclosure, and it holds ISO 27001 certification. Pricing is by quotation, licensed per connection.
SmartAdvocate is a case management platform for high volume contingency practices, offered as a hosted cloud service or as a server version a firm installs on its own infrastructure. It covers intake and lead capture, matter and document management, document generation, calendaring with statute of limitations and deadline tracking, custom workflows, client texting and electronic signature, a client portal, reporting and an open API, with more than 175 integration partners. The AI layer, SmartIntelligence, includes an Intake AI Voice Agent that speaks with prospective clients and logs leads, demand letter and medical chronology generation, document classification, extraction of court deadlines and insurance details into fields, natural language search of case records, settlement and negotiation assistants, reply drafting, autonomous agents for recurring tasks, and an MCP server for connecting external AI platforms. The terms of service name OpenAI technology and proprietary SmartAdvocate technology among the sources behind these tools.
SmartDepo turns deposition transcripts into page and line summaries with hyperlinked citations back to the testimony, meant to be copied straight into motions and briefs. Each transcript produces four documents: a page line summary organized by topic, at a seventh to a tenth of the original length; a key admissions analysis of one to five pages; a short deposition abstract; and a deposition memo organized around the legal and factual issues. A newer platform layer adds chat across every deposition in a case, automated memos, a contradiction finder and theme extraction. The company calls its citation technology patent pending and says legal professionals review every summary before delivery. Pricing is published: a $99 per user monthly subscription that brings summaries to a flat $25 each, or standalone summaries from $85 down to $50 at volume, with a seven day free trial. SmartDepo is now part of Rev, and buyers accept Rev.com, Inc.'s terms of service, which govern Rev's transcription services and do not name SmartDepo. Those terms allow customer content to be used to train Rev's own speech recognition and other AI models, though not for generative AI training.
Smith.ai is an outsourced front office service combining AI receptionists with a network of live human agents, positioned as AI and people handling every call together. Its agents are trained on attorney style intake scripts, and it also serves medical, contracting and other professional service businesses. The AI Receptionist line is AI only, with an intake agent for complex, sensitive and conditional intake, and live agent help available per call on any plan. The Virtual Receptionist line uses human agents, supported by AI for data entry, to answer calls in the firm's name, take messages, book appointments, transfer urgent calls, qualify leads against the firm's script and route inquiries into the CRM. Coverage runs 24/7 across calls, web chat and, on higher plans, outbound calling, in English and Spanish. The vendor states more than 7,000 integrations, with native connections to Clio, MyCase, LawPay, Salesforce and Calendly, and can send retainers automatically after intake. Pricing is published, from a free AI tier for 25 calls and AI plans from $95 per month to hybrid plans from $292.50 per month. Named customers include Maria Jones Law Firm and SummitPoint LLC.
Smokeball is a practice management platform for solo, small and midsize law firms, delivered as a Windows desktop application with cloud services and in the browser. It is built around Microsoft Word document automation with more than twenty thousand forms, AutoTime passive time recording, matter, email and calendar management, LeadPro intake, a client portal, invoicing, payments and trust accounting. Its AI layer is Archie, a matter assistant launched in July 2024 that drafts, reviews and answers questions inside the matter the user is working in, embedded in Word and Outlook. Archie Apps adds partner tools for tasks such as bank statement analysis and legal chronologies, and Playbooks review documents against rules the firm sets. An integration with LawY answers legal questions by jurisdiction, with optional verification by a lawyer. Smokeball Incorporated of Chicago also runs businesses in Australia and the United Kingdom and serves more than five thousand firms. Its terms say the AI should be used only under the supervision of qualified legal practitioners, and its security page describes firm level isolation, AI access limited to the matter, no customer data given to third parties for model training, and ISO 27001:2022 certification.
Solve Intelligence is an AI platform for patent work, used through a browser editor called Patent Copilot by law firm and in house IP teams. It drafts applications, figures, chemical structures and sequence listings in an attorney's own style, drafts office action responses, reviews drafts before filing, and builds infringement, invalidity and freedom to operate charts. Agents run multi step prosecution and litigation tasks, and agentic retrieval covers patents, literature, standards, case law and patent office records. Customers choose a United States or EU deployment, each with its own subprocessors, and model providers process data under zero data retention agreements. Solve holds SOC 2 Type II and ISO 27001 certification, with ISO 42001 in progress, and its June 2026 terms carry an IP indemnity and a 12 month fee cap. It reports more than 700 IP teams on six continents, including DLA Piper, Intel, Siemens and Finnegan.
Spellbook offers AI contract review and drafting for transactional lawyers, delivered mainly as a Microsoft Word add in and also working in Google Docs. Its core features are Review for redlining against a firm's standards, Draft for clauses and documents from scratch or from saved precedent, Playbooks for encoding review standards, Ask for cited answers, and Compare for benchmarking a clause against thousands of similar agreements. Spellbook Associate is an agent that works across several documents on longer matters, and an Autonomous Contract Management product covering intake through signed contract search is in early access. The company was founded in St John's, Newfoundland in 2018 as Rally and renamed Spellbook in 2022. It grounds rather than fine tunes: general purpose models are connected to proprietary market data and required to retrieve and cite sources. Spellbook is the named exclusive AI partner of the Canadian Bar Association.
SpotDraft is a contract lifecycle platform for in house legal teams. It covers contract creation from templates, approval workflows, negotiation and redlining in Word, Slack or the browser, and built in eSignature that meets the ESIGN, eIDAS and ECA standards. Its repository extracts more than a thousand metadata types automatically, with reporting on top. SpotDraft AI runs across the platform. VerifAI reviews contracts inside Microsoft Word. Intake captures and routes legal requests, and Sidebar offers AI agents for questions, review and tracking regulatory change. Legal Hub manages a company's public online terms, and Clickwrap collects contract acceptance. More than 30 integrations have their own pages, including Salesforce, HubSpot, Slack, Word, Google Drive, DocuSign, Greenhouse, Jira and Zapier. SpotDraft runs on Google Cloud Platform with servers in the Netherlands. It stores personal data in a region the customer chooses among the United States, the EU, India and the Middle East. SpotDraft says its AI features are designed with attention to the California State Bar's generative AI guidance and ABA Formal Opinion 512.
Steno is a deposition and litigation support company. It pairs court reporting services with software for the firms that book them. Services include court reporting, videography, interpreters, remote and hybrid depositions, equipment rental and conference rooms. DelayPay lets a firm defer case costs until settlement. On the software side, Steno Connect for Zoom runs remote depositions inside Zoom, and the Firm Dashboard holds a firm's transcripts, notes and documents, with Clio and Litify integrations. Transcript Genius is the AI layer. It answers plain English questions across one or many depositions, writes summaries, finds passages by exact wording or by meaning, and flags contradictions between witnesses. Every answer cites the transcript page and line, shown beside the source, and can open the synced video at that moment. It is free with no usage limit and must be switched on by the customer. It runs mainly on large language models from outside providers under contract, which do not train on the data or keep it after a session. Steno holds a SOC 2 Type II report and a HIPAA addendum. Buyers are litigation teams at firms of all sizes, especially plaintiff firms.
Streamline AI is a front door for in house legal teams. Business users submit requests through configurable forms or from Slack, Teams and email, and the platform classifies each one, applies routing rules and opens a structured record. It then runs the work: conditional routing, approval chains, escalations and SLA timers that legal operations configure without engineering, plus matter management, contract review against a negotiation playbook, document generation, and dashboards for request volume, cycle time and team throughput. The AI layer covers email intake, request classification, a Slack intake agent, a policy Knowledge Bot, the Velo copilot and an MCP connector, with clause evaluation and redlines in one click on the contract side. Access is scoped by role, team and matter type, notes marked legal only stay within the legal team, and every request, decision and action is logged. Streamline publishes its subprocessor list openly, says it does not train AI models on client data, holds SOC 2 Type II certification and publishes starting prices for both plans. LegalDesk, Inc. trades as Streamline AI in the United States; customers include Cityblock Health, Hims, Logitech, Acorns and 8x8.
StrongSuit is a legal AI platform for litigators and transactional lawyers, sold monthly to individual practitioners and on a firm plan to larger teams. Its research module runs agentic retrieval over a proprietary database of more than ten million US federal and state cases, enriched with metadata, summaries and issue tags, and returns answers, memos and early brief drafts with linked citations. A case validation feature launched in November 2025 checks whether cited cases have been overturned or superseded. Around that sit a general legal assistant, contract drafting and redlining, a Microsoft Word add in for negotiation, discovery document review, a timeline and statement of facts generator in beta, proofreading and an oral argument simulator. StrongSuit says every draft, review and decision stays under the lawyer's control and no model is trained on user content, and that the platform runs in a private Microsoft Azure tenant with data stored only in the United States, using models from OpenAI, Google and Anthropic. StrongSuit AI, Inc. of McKinney, Texas was called Callidus Legal AI until 12 November 2025. It publishes its terms, privacy policy and pricing openly and names ABA Formal Opinion 512 among the guidance it follows.
Summize is a contract intelligence system for in house legal teams that works inside the tools a business already uses. It runs in Outlook, Teams, Slack, Gmail, Word, Salesforce, HubSpot and Jira, so a salesperson can check renewal terms without leaving Salesforce and a request can be raised from Teams. The product has three layers. A Knowledge Layer holds playbooks and policies, and a Contract Operations Layer covers the lifecycle from request to signature. The third is an agentic AI layer called SIA, or Summize Intelligence Agents, which answers contract questions across the business. Summize holds ISO 27001 certification from ISOQAR under UKAS. It says customer prompts, completions and embeddings are exclusive to each customer and are not available to OpenAI or used to improve OpenAI models. Its published subscription agreement separately allows Summize to use Customer Data in aggregated, anonymized form to improve the software through machine learning. The agreement includes an intellectual property indemnity and a warranty that the software will be free of material errors and defects. Its liability caps are set as the greater of a fixed sum or a multiple of charges. No price is published. Summize Ltd is a UK company, and the agreement is governed by English law.
Superinsight reads medical records and produces chronologies, summaries and case reports for lawyers and medical experts working claims that turn on medical evidence. It is built around practice areas, with separate treatment for Social Security Disability, personal injury and veteran disability among others, and it will configure the product for a practice area not on its list. Disability work is where it is most specific, generating residual functional capacity assessments and identifying the medical evidence a claim turns on. Reports are built from templates, and higher tiers add unlimited research queries. The company states that no human reviewers see the records and only its AI reads them. Its published HIPAA notice commits that protected health information is not shared with AI or large language model companies except as required by law or with explicit authorization. Pricing is published across six tiers, from 80 dollars for a single credit to 5,000 dollars a month for 200 credits, with a report averaging about two credits and the first case free. The company states HIPAA compliance and alignment with ISO 42001, and is based in Menlo Park, California.
Supio is an agentic AI platform built only for plaintiff personal injury and mass tort firms, covering the case from intake through litigation. It was founded in Seattle in 2021 by Jerry Zhou, chief executive, and Kyle Lam, chief technology officer. The platform ingests whole case files, including large volumes of medical records, and produces MedChron medical chronologies, demand letters, case economics ledgers, litigation drafts, deposition analysis and firm analytics. Its underlying technology, CaseAware AI, is said to distinguish facts from opinions across large volumes of records. Supio Agent, launched in the first half of 2026, takes natural language instructions such as adding a life impact report to a demand section or rechecking a medical bill total. Output cites the source page for each claim, and for high value cases human experts verify bill totals and damage calculations before delivery. Named integrations include Litify, MyCase and CasePeer, plus Westlaw Advantage through a Thomson Reuters partnership. The vendor states SOC 2 Type II certification, HIPAA, PHIPA and GDPR compliance, and data centers in the US, UK and Canada. It has raised about $85m to $91m. Pricing is not published.
Syllo is a litigation platform developed and sold by TLATech Inc., a New York company founded in 2019 by two litigators and two Carnegie Mellon engineers. It holds the whole case record in one workspace, from complaint through trial, combining case management, a full eDiscovery module, deposition transcript handling and AI analysis. Its central AI feature, Agentic Issue Tagging, coordinates several language models to apply unlimited issue codes across document sets running to millions of documents. It writes a rationale for every determination that points to the text behind it. Teams use it for responsiveness review, first level privilege review, finding hot documents and checking an opponent's production for gaps. An open prompting engine answers questions about the case record with hyperlinked citations and produces summaries, deposition digests and chronologies. A Litigation Agent for autonomous work across the case is offered in early access. Syllo is sold on an enterprise basis to law firms, from AmLaw 100 firms to litigation boutiques, and to corporate legal departments managing litigation portfolios, and the company offers litigation support staff alongside the software.
Syntracts is a contract intelligence platform from Syntracts Inc. of Washington, DC, built to run inside a law firm's or legal department's own environment. It ingests contracts by upload or, through its API, from document management systems such as iManage, NetDocuments and SharePoint, and extracts the data points a knowledge management team defines, structured to the firm's own schema. The extraction uses small open source models tuned for each customer on synthetic data generated from that customer's documents. Reviewers can confirm or correct each extraction, and the structured results go back into knowledge management databases, dashboards and the AI assistants a firm already uses. The company says no data leaves the customer's environment and no outside model or API is called, and has said that besides on premises hosting it can run in an Azure virtual private cloud or purely in the cloud. It announced a multiyear deployment at an unnamed AmLaw 25 firm in June 2025, was selected for A&O Shearman's Fuse incubator, and raised a $5.3 million seed round led by Hyperplane in October 2025. Pricing is not published.
Tangibly is a trade secret management platform from Tangibly, Inc. for corporate legal and IP teams, law firms and the HR, R&D and security teams that handle confidential information. Its AI discovery analyzes a company's patents and internal documents to surface likely trade secrets, groups them into categories and links each result back to its source for review. The platform keeps a registry of trade secret assets with owners, review cycles and classifications, manages access and acknowledgments, and keeps timestamped records to support arguments about reasonable measures in a dispute. Alongside the platform, Tangibly sells consulting, case validation and damages assessments for trade secret disputes, and nonrecourse litigation funding through a partnership with SIM IP; the platform can be licensed on its own. Pricing is not published.
Tavrn is an AI case preparation platform for personal injury litigation, founded in 2022 and built around medical record retrieval, on the premise that records are where cases stall. Client Intake extracts facts from each lead and scores cases on a numeric scale with configurable thresholds. Medical Record Retrieval uses agentic workflows and AI voice agents that contact providers the same day a request is placed and keep going until all requested files, including bills and imaging, arrive. It covers thousands of providers in all fifty states and delivers records into the case file already organized, named and tagged. MedChrons turns records into hyperlinked chronologies with page classification and Bates stamping, and demand letters are drafted from the same structured data using firm templates. Practice coverage spans personal injury, medical malpractice, workers compensation, SSDI and general liability. Integrations are named with Filevine, Litify and Clio, among others, and API access is offered. Tavrn claims a SOC 2 Type II attestation and offers a business associate agreement for HIPAA workflows. Funding totals about $38m, including a $15m Series A led by Left Lane Capital in July 2025. A free trial is offered and pricing is not published.
Theo Ai sells predictive litigation intelligence to corporate defense teams. Its product is a portfolio command center for enterprise legal departments. It collects case material automatically from systems such as Microsoft, Google, Workday and Salesforce, turns emails, invoices and filings into structured data, and shows each matter's cost trend and risk signals in one view. It then looks for patterns across the portfolio, flags matters it judges to be underreserved, tracks exposure as new facts arrive, summarizes each case with attribution to source material, and recommends which claims to settle and which to fight. It publishes indicative matter counts by category, from general liability and workers' compensation claims to employment disputes, regulatory matters, commercial disputes and internal investigations. It markets to retail, insurance, chemicals, hospitality and gaming, and pharmaceuticals and medical devices. The company began in 2024 selling outcome and settlement prediction to litigation funders, partnering with Mustang Litigation Funding in March 2025, before refocusing on corporate defense. Onboarding is by invitation, with a public waitlist. Theo AI, Inc. is based in Palo Alto, California.
Theta Lake captures, archives and supervises the communications regulated firms run on, across voice, video, chat, mobile messaging, email and whiteboards, through more than 100 integrations including Microsoft Teams, Zoom, Webex, Slack and Symphony. Its machine learning flags compliance, conduct and data protection risks in what is shared, shown, spoken and typed. Legal teams use it for legal hold, preservation and eDiscovery, including through a Relativity integration, and the archive supports SEC 17a-4 retention with customer set rules and a choice of storage region. A separate module governs employees' use of AI assistants such as Microsoft Copilot, Claude and OpenAI tools, detecting prompt injection, jailbreaks and shadow AI.
Thirdfort is a client due diligence platform that law firms, conveyancers, estate agents and accountants use to verify the identity and source of funds of the people they onboard. Thirdfort Limited is based in London and authorized by the Financial Conduct Authority under the Payment Services Regulations 2017. It covers identity verification, document verification, PEPs and sanctions screening, source of funds, and checks on corporate clients. A client completes the check in an app, or the firm runs a desktop check without the client, and each check produces a PDF report the firm keeps as its compliance record. The identity check reads the signing keys in an electronic passport's NFC chip and is built to HM Land Registry's Digital ID Standard, the Companies House identity standard and the UK Digital Verification Services framework. Document verification is the AI capability: Thirdfort says its AI inspects every upload for tampering, forgery and counterfeiting, and checks each identity document against the Metropolitan Police's Amberhill database of lost and stolen documents. Reference data comes from named suppliers, including Onfido, Experian, ComplyAdvantage, iProov, Dun & Bradstreet and Kyckr. The company holds ISO/IEC 27001:2022 certification, and more than 1,500 regulated businesses use it.
Thomson Reuters Document Intelligence is contract analysis software that reads, sorts and extracts provisions from large sets of agreements. It is sold to law firms, to in house counsel and legal operations teams, and to corporate contract and asset management teams, with a dedicated offer for renewable energy. It began as ThoughtTrace, which Thomson Reuters acquired in 2022, and the application still runs at app.thoughttrace.com. Its extraction models were pretrained by Practical Law attorney editors, who spent more than 15,000 hours building and training them in six months. They identify thousands of provisions across a suite of domain specific models, including more than 450 for wind and solar agreements. Users look across thousands of documents by meaning and context, bulk upload and auto label files, set reminders for obligations and renewals, build dashboards, and connect other systems through a low code workflow builder. A Microsoft Word add in compares a draft against a standard template and applies clause playbooks with fallback language. Extracted provisions also feed HighQ's AI Hub and iSheets for customers holding both products. Its section of Thomson Reuters' Legal Product Specific Terms lets Thomson Reuters train its products on customer data, and prices are quoted through a demo request or the sales line.
ThoughtRiver is an AI contract review platform for corporate legal teams and the law firms that serve them, from ThoughtRiver Ltd of Cambridge, England. Its engine reads a contract and answers Lexible, a network of some 2,500 legal questions its own lawyers have built since 2016, now run on a proprietary generative model layered on several large language models. The answers are scored against the customer's playbook or the vendor's default policies to produce a risk rating, a Digital Issues List of points to resolve, suggested redlines and a remediation workflow inside Microsoft Word. A Lexible Assistant answers questions about any contract, and portfolio analysis runs across large volumes of agreements. Customers and partners include Shoosmiths, which reports the platform reviewing complex supply agreements in under three minutes at above ninety percent accuracy. The published data processing addendum lists machine learning training among its processing purposes, names five subprocessors with Microsoft Azure hosting in the United Kingdom, and commits to breach notification. The security page states ISO 27001 certification and segregation of each customer's data under its own encryption key.
Threadeo sells cloud software to court reporting and litigation support firms and to the lawyers they serve. Threadeo Sync aligns deposition video with certified transcripts, links exhibits and generates the load files that trial software such as TrialDirector and OnCue reads, running many jobs at once in the browser. Threadeo Summaries turns deposition, arbitration and trial transcripts into structured analysis, with chronologies, admissions, contradictions, impeachment points and cross examination questions, each cited to page and line. A cross deposition report compares witnesses, and a chat answers questions about a transcript with linked citations. The offline Depo Viewer opens synced jobs without an internet connection, and UltraSync is a rush sync service for law firms. CloudReview lets a law firm's lawyers and paralegals annotate transcripts with objections and issue codes and export captioned clips. Sync and Summaries are bought per job with no subscription, and CloudReview Teams starts at $199 a month for up to 10 users plus processing fees. The terms bar training on customer data, and the service runs on AWS in the United States. Threadeo Inc. is a Delaware corporation based in San Francisco, led by CEO Aniket Sawant.
Tomorro is a French contract lifecycle management platform, formerly Leeway, operated by Tomorro SAS from Toulouse. It covers contract creation from templates, collaboration, approval workflows, electronic signature, storage and reminders, for legal teams and the business teams that work with them. It says more than 2,000 companies and 100,000 users rely on it, among them Nestlé, Vinci and Qonto. Its AI assistant, Oro, extracts contract data, summarizes and translates documents, reviews contracts against a company's playbooks with a status, explanation and suggested rewording for each clause, answers questions in chat, and offers Legal Search across open legal sources in more than 150 countries. Oro is included in every plan with a monthly allowance of credits and is switched on by an administrator. It runs on Azure OpenAI by default, with a Mistral option hosted in France, and the terms bar using client data to train any model unless the client agrees. Data is hosted on AWS in Paris with backups in Frankfurt, and the platform is ISO 27001:2022 certified. Prices are quoted on request, charged per administrator and creator license on a twelve month commitment. The service is sold to professionals only.
Tonkean LegalWorks is matter lifecycle management for in house legal departments, built to get the business to use legal's processes. Requests arrive through Slack, Microsoft Teams, email or a branded portal. An AI Front Door reads plain language queries, answers simple questions directly and routes the rest into intake forms that adapt to the risk level and matter type and fill in from connected systems. The platform then runs the matter across the tools involved, with named connections to Ironclad, TeamConnect, SimpleLegal, DocuSign, Adobe Sign, Salesforce, ServiceNow, JIRA and SharePoint. Packaged agents handle NDAs, contract management, conflict checks, legal mailroom and email triage, and legal operations teams configure workflows, approval paths and risk tiers without code. Governance features include role based access control, ethical walls, audit logs, retention policies and legal holds. Deployment options are Tonkean's multi tenant AWS cloud, a single tenant dedicated cloud, or the customer's own AWS, Azure or Google Cloud environment. Pricing is quoted per monthly tracked user. LegalWorks is one of three solutions from Tonkean Inc. of Palo Alto, alongside ProcurementWorks and ServiceWorks.
Top24 Diritto AI is the online legal database of Il Sole 24 Ore Professionale, Gruppo 24 ORE's division for professionals, with an AI assistant built in. The database brings together Court of Cassation and lower court rulings with authorial maxims, national, regional and European legislation, collective labor agreements, annotated codes and the group's law journals, among them Guida al Diritto. 24Ai Legal Assistant, developed by Il Sole 24 Ore, answers legal questions asked in plain Italian from that content, showing its reasoning and the sources it used, which open inside the database. Answers can be saved or downloaded as PDF or Word files, and each subscription carries a limited number of questions. A semantic search engine, practice forms, calculators and a daily newsletter complete the service. It is sold by subscription to lawyers, magistrates and legal consultants, online or through local agents. The database was previously sold as PlusPlus24 Diritto and Lex24. It is published by Il Sole 24 ORE S.p.A. of Milan, owned by Confindustria, the Italian employers' federation.
Tradespace is an intellectual property management platform covering the patent lifecycle from invention capture to licensing. Its Create module turns what an inventor already has, such as slide decks, specifications, flow charts, manuscripts and audio, into structured disclosure packages, and connects to Slack, Gmail and Notion to surface ideas. Disclosures arrive with prior art review, related portfolio matches and market assessments attached, and rules route them through patent committee review. Protect covers drafting and prosecution, with a docketing assistant that captures patent office and outside counsel correspondence, creates deadlines and suggests responses. Manage handles annuities and portfolio reporting, and Commercialize identifies likely licensees and builds claim charts. Tradespace also offers flat fee prosecution through a network of outside patent firms. Each customer account gets its own dedicated model instance, with no data passing between instances, and retrieval augmented generation grounds responses with citations. The platform runs on Microsoft Azure in the US Northern Virginia region, with models reached by default through Azure OpenAI Service. Customers include Georgia Tech, the University of Texas at Austin, the FDA, Raytheon and Northrop Grumman. Tradespace, Inc. of San Francisco acquired the patent drafting startup Paragon in November 2025.
Transcend is a data permissioning and decision layer built to answer one question, whether a given piece of customer data can be used for a given purpose, and to enforce the answer inside the systems that process the data. Its Policy Engine combines business policy, jurisdictional regulation and individual consent into one real time decision that other systems and agents can call before acting, through an API the vendor describes as built for MCP. Around it sit consent and preference management, automation of data subject requests with proof of completion from each system, and an AI governance offering built around honoring signals not to train. The distinctive piece is Sombra, a security gateway the customer runs inside its own infrastructure. Every integration request passes through it tokenized, authenticated and encrypted, the customer keeps its own API keys, and Transcend says customer data never leaves the customer environment. Integrations include AWS, Azure, Databricks, Workday, Okta, Slack and Google Workspace. Transcend publishes its full set of agreements openly, including a data processing addendum with a named subprocessor list. Transcend Inc. is based in San Francisco, holds SOC 2 Type II and ISO 27001, and names Robinhood as a customer.
Trellis is a legal research and analytics platform built around state trial court records, the part of the US court system that has been hardest to search. It gathers dockets, rulings, motions and filed documents from more than 3,000 courts in over 2,500 counties across 45 states, structures them and makes them searchable in one place. Federal circuit, bankruptcy and Supreme Court coverage is offered through its API. On top sit judge analytics covering ruling tendencies, career history, evidentiary preferences and biography, plus law firm and company litigation insights, opposing counsel research, verdict data, daily filing reports and alerts. Trellis AI applies language models to the same data to produce case assessments that review facts, claims and defenses and suggest likely outcomes, next steps and risks, and to help draft arguments. Practical guides on how common motions are handled at trial level sit alongside the data. Buyers include litigators and law firms, in house legal teams and academic law libraries. The terms restrict access to the United States and bar using the data to decide anyone's eligibility for credit, insurance or government benefits under the Fair Credit Reporting Act.
TrialKit is an AI discovery platform from TrialKit Inc. of Clifton, New Jersey, built by attorneys for criminal defense and litigation teams. It takes documents, body camera and surveillance video, audio, phone extractions, transcripts and handwritten notes in one upload, then categorizes, names and extracts them. It identifies the people who appear in footage and when, maps people, places, dates and entities across the record into a timeline, and answers questions in plain language with citations to the exact file, page or timestamp. Each case runs in its own isolated environment with access set by role. Customers shown include the Los Angeles County Public Defender's Office, public defenders in Louisiana and law firms including Reed Smith. Pricing is custom and not published.
TrialView is an AI dispute resolution platform covering a contested matter from bundle preparation to hearing presentation. It is used for litigation, arbitration, mediation, adjudication, tribunals, large investigations, regulatory hearings and statutory inquiries. Its main design choice is to bring law firms, barristers, judges and arbitral bodies into one secure workspace rather than serving one side. Court bundles are built automatically with OCR, date recognition, pagination, tabbing, bookmarking, indexing, cross referencing and hyperlinked indexes, with built in court compliance checks. AI case preparation builds hyperlinked timelines and chronologies tied to source documents, spots patterns and inconsistencies across witness statements, depositions and messages, and answers plain language questions with sourced references. Witness interviews can be recorded, transcribed and turned into a first draft statement linked to cited evidence. Hearing services combine evidence presentation synchronized across devices, video conferencing with breakout rooms, and real time transcription with live markup, while the AI flags material that supports or undermines a proposition as evidence comes in. The vendor says it is used across UK and Irish courts, including the Commercial Court, the Business and Property Courts and the Technology and Construction Court, and by the ICC, IAC and DDRC arbitral institutions.
Triangle IP is a patent pipeline and prosecution analytics platform from Triangle IP, Inc., a Colorado company. Its TIP Tool is a workspace modeled on Jira where a company captures invention disclosures, scores and ranks ideas, and moves them through stages with inventors and outside counsel working in the same place. It then tracks the resulting applications as a portfolio with automatic USPTO status updates, family trees, prosecution timelines, deadline reminders and spreadsheet export. The machine learning sits in the Predictor, which reads an invention summary, a draft or an uploaded file, compares the claim language with public USPTO prosecution data, and returns likely Group Art Units and CPC codes with confidence levels and historical allowance rates. A drafter can amend claims and rerun the prediction. Statistical analytics cover examiner behavior, expected office action rounds, prosecution cost and outside counsel performance. The Predictor is sold alone at five dollars a month and inside the platform, which is priced flat per organization with a free tier that never expires. The vendor says text submitted to the Predictor is discarded once the prediction is generated.
Trust & Will is an online estate planning service from Huge Legal Technology Company, a public benefit corporation based in San Diego. Consumers build wills and trust plans for their state through a guided online interview, with an optional flat fee Attorney Support service or an Attorney Led Plan from its network of licensed estate attorneys. An annual subscription adds AI answers, a digital vault and plan updates, and a probate service is also offered. Its EstateOS platform extends to attorneys, with AI document extraction, estate plan summaries and an AI assistant for managing client plans and referrals, and to financial advisors and nonprofits. Trust & Will is not a law firm and does not give legal advice. Will plans start at $199 and trust plans at $499.
TrustArc is a privacy management platform for privacy, legal and compliance teams, sold as a suite of applications. PrivacyCentral runs a privacy program against laws and regulations, Data Mapping, Risk Manager and a Data Inventory Hub track data, and Assessment Manager handles privacy and AI risk assessments. The suite also includes Cookie Consent Manager, a Trust Center product and Nymity Research, a library of regulatory summaries and templates updated daily. The AI layer, branded Arc Intelligence and Nymity AI, adds a research chatbot over the Nymity library and an assistant in PrivacyCentral. It also offers lookup and autofill of records and assessments, bulk record creation, evidence analysis, translations, cookie research and summary reports. Every AI feature is optional and off until a customer uses it. TrustArc Inc. is headquartered in Walnut Creek, California, and publishes a full legal center. It includes a government request policy that commits to advance notice, and terms of use for AI features that map each feature to its provider and say customer data is not used for model training. TrustArc states an annual SOC 2 Type II assessment and names the New England Journal of Medicine as a customer.
Trustible is an Arlington, Virginia company selling an AI governance platform organized around four stages. Intake captures AI use cases, models, agents and vendors and routes them by risk, followed by risk and impact management, monitoring with alerts, and compliance, where governance activity becomes evidence ready for audit. Its core is a control library rather than a checklist per regulation. Policy and regulatory experts read each framework in full and normalize its obligations into Controls. Each Control is mapped to every clause it satisfies across more than fifteen frameworks, among them the EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework. Models work on top of that library: an assistant answers questions about the AI inventory in plain language, and agents parse vendor documents, analyze vendor risk signals and check whether a customer's policy text addresses a control. The company is a Public Benefit Corporation, holds a SOC 2 Type II certification, hosts its AI tools on Microsoft Azure and says it does not train them on customer personal information. Named customers include Leidos, Nuix and Guardian Life. The customer agreement is negotiated individually rather than published.
Truth Systems is a San Francisco company, founded in 2023, that sells AI governance software to law firms. Its first product, Charter, runs as a browser extension and desktop agent on firm machines and checks each prompt a lawyer submits to an AI tool against firm policy and client rules before it is sent, blocking privileged or sensitive material or the wrong tool for a matter and showing the user a warning. The vendor says Charter's compliance AI agent reads a firm's policies and each client's outside counsel guidelines as written and converts them into rules applied matter by matter. Charter also records which tool, prompt and response were used on which matter, and its Insights dashboard reports AI use and time by tool, office, person, client and matter. A second product, Alexandria, is an MCP gateway that connects firm systems such as Intapp, iManage, Aderant and Microsoft 365 into one layer for AI agents, checking each agent action against ethical walls and client restrictions. Arnall Golden Gregory is named as a customer. The cofounders are Alex Mac, the chief executive, and Nam Nguyen, the chief operating officer. The company was part of Y Combinator's Summer 2025 batch and announced a $4 million seed round led by Gradient, with Lightspeed, F-Prime and Y Combinator participating.
Turbo Law is an AI litigation platform for defense law firms and insurance carriers handling complex matters such as medical malpractice, toxic tort and transportation disputes, and it has added M&A, business litigation, construction, real estate and employment matters. Turbo Law, Inc. is headquartered in San Mateo, California, per its newsroom, while its site terms and privacy policy give an Atlanta, Georgia contact address. The platform reads the whole matter file and builds a Fact Graph of parties, experts, admissions, defenses and dates, with each entry cited to a line in the file. From it the platform produces chronologies, deposition contradiction reports, privilege flags, motions and discovery responses, case evaluations, settlement value models and carrier status reports, and an assistant answers questions and runs tasks within a matter. A mass tort intake product prepares short form complaints and plaintiff fact sheets and sorts claimants by qualification. The vendor says attorneys review high stakes outputs before anything leaves the firm, client data never trains shared or public models, and the platform runs in dedicated Microsoft Azure environments with HIPAA business associate agreements; its trust center also lists Google Cloud Platform for hosting. Turbo Law raised a $3.8 million seed round led by Revo Capital in June 2026, with Treeo VC, BridgeX Ventures and Alchemist Accelerator, and reports more than 2,000 active matters on its home page, up from more than 1,800 at the funding announcement.
Turivius is a Brazilian legal research platform combining case law search, jurimetrics and generative AI. Its database holds more than 130 million decisions from over 100 Brazilian courts, updated daily. It is sold as two environments with separate logins. Turivius Clássica covers case law search, jurimetrics and knowledge management. GPTuri+, launched in 2025, is the AI environment. Its assistant answers in plain language or by voice, builds the search from a description of the case, and drafts summaries, tables, pleading outlines, opinions and risk maps. Every answer cites the decision it rests on, and uploaded documents can be questioned with answers tied to the exact passage. The buyer chooses GPT, Claude or Gemini for each task. The Jurimetria Agent analyzes up to 500 decisions on a legal thesis and returns tables, trend charts, divergences between courts and outcome predictions. Customers include Deloitte, Nestlé, Gerdau, Suzano, BASF, Unimed, BTG Pactual, Tozzini Freire and Machado Meyer. Turivius Portais de Conteúdo Ltda is based in Florianópolis and was founded in 2019 by Danilo Limoeiro, its chief executive, and Guilherme Kenzo. BTG Pactual became a shareholder in 2023.
UniCourt is a litigation data platform that collects, structures and delivers US court records, mainly through APIs. It covers more than 3,000 state and federal courts in over 40 states, with more than a billion dockets and documents. Machine learning extracts data from dockets and filings, then standardizes it and removes duplicates. DEEP is the extraction and enrichment platform, and DART is the app for docket analytics, research and tracking. Customers can take data through the web app, APIs, bulk downloads, webhooks or data shares into their own warehouses, structured to SALI standards and fed into matter management, CRM, document management and docketing systems. Buyers are law firms, for docket research, strategy, tracking and experience management, and insurers, for litigation risk and data management. Three self serve plans are priced publicly, with a custom enterprise plan that includes API access. Court fees pass through at cost. Documents any user downloads go into a shared CrowdSourced Library, free to all other users. UniCourt says its records come from government or reputable private suppliers, and that sealed or restricted documents are not available.
Unity ELM is an enterprise legal management platform for corporate legal departments, covering matter management, outside counsel spend, billing guideline enforcement, budgets and approvals in one system of record. Released in March 2026 on Onit's Unity platform, it replaces the heavy configuration of older ELM systems with operational foundations a team can start from and extend. Two AI capabilities sit inside it. Spend Agent, generally available since late 2025, reviews invoices against a department's billing guidelines, identifies errors and discrepancies, and engages law firms to adjust invoices with limited manual involvement. Ask Unity, offered as a beta, answers questions in plain language across matter and spend data, such as quarterly spend or accruals against budget, without a report being built. The platform works alongside the rest of the Unity suite, including intake and a forthcoming RFP module. Unity ELM is a product of Onit, Inc. of Atlanta, Georgia, which sells legal technology under several names, among them SimpleLegal, BusyLamp and Bodhala, and says it supports more than 3,000 customers worldwide.
Venio Systems is an ediscovery platform that runs legal hold, collection, processing, early case assessment, review and production in one system for law firms, corporate legal departments, legal service providers and government agencies. It can run in Venio's managed cloud, on the customer's own infrastructure including air gapped networks, or as a hybrid chosen matter by matter. Venio Systems, Inc. is based in Fairfax, Virginia, and is majority owned by the private equity firm Software Growth Partners, which invested in August 2020 in a deal Venio announced. Its own AI covers continuous active learning and predictive coding with recall, precision and elusion tracking, concept clustering, email threading and near duplicate detection, concept retrieval with sentiment analysis, and AI redaction with PII detection. Generative review and early case intelligence in the platform come from an August 2026 integration with eDiscovery AI, a separate vendor with its own entry. Pricing is per instance, per case or enterprise, with no figures published.
Verbit is a transcription and captioning platform whose legal line records depositions, hearings, trials, arbitrations and witness interviews. Its own speech recognition engine, Captivate, is trained on legal terms and adapts to a customer's vocabulary, speakers and recording conditions, and a generative layer, Gen.V, adds summaries, chapters, keyword tags and inconsistency detection. Three legal products use it: Legal Capture for court reporting agencies and digital reporters, Legal Visor for attorneys who want live transcription with case insights during depositions, and a self serve Standard plan. Output ranges from instant rough drafts and AI only transcripts, which the company says are not court admissible, to human reviewed, certified transcripts formatted for each jurisdiction. The platform also handles digital evidence such as body camera footage and 911 calls, transcribes English and Spanish with translation into more than 28 languages, and connects to Zoom, Teams, Relativity and a published API. Buyers include law firms, courts, court reporting agencies, legal departments, law enforcement and government. Verbit, Inc. is a Delaware corporation based in New York that also runs the VITAC, Take Note and AST brands.
Vesence is an AI platform for law firms and other professional services businesses that runs inside Microsoft Office. The same agent works across Word, Outlook, Excel and PowerPoint, and in a web workspace that keeps files, chats and drafts together by project. It drafts and fills templates, produces redlines that keep Word formatting, checks spreadsheets against source documents, runs quality checks on slides and inboxes, and applies a firm's house style. Every edit the agent makes lands as a tracked change the user accepts or rejects. Practice pages cover corporate, banking and finance, fund formation, dispute resolution, compliance, family law and business support. Vesence publishes its general terms, data processing agreement and a subprocessor list naming each provider, its region and the model routes it serves. Customers can choose which AI providers are enabled. Processing runs only in the EU on Microsoft Azure. Named customers include the Nordic firms Cederquist, Snellman, Andulf and Kanter. Vesence AB is a Swedish company.
Vincent AI is a legal research and workflow assistant built on vLex's global legal database of more than one billion documents across more than 100 countries, combining vLex's international content with US primary law from Fastcase. Released in October 2023, it ships more than 20 prebuilt workflows across research, litigation, transactions and litigation intelligence, including Ask a Research Question, Build an Argument, Compare Jurisdictions and 50 State Survey, plus profiles of judges and opposing counsel drawn from more than 850 million court records. Every research output cites primary sources with direct links and carries a Cert Citator check on whether the cited law remains valid; Cert comes from Judicata software that Fastcase acquired. The pipeline combines generative and rules based AI, and Vincent Studio adds workflow building without code for enterprise customers. Vincent integrates with Microsoft Word, Outlook and iManage, and with Clio Operate, where it inherits the firm's existing permissions, ethical walls and audit trail. Clio acquired vLex in June 2025, and the product is still sold under the Vincent name.
Visalaw AI is a research and drafting platform for immigration lawyers from Visalaw Ventures, Inc. of Memphis, Tennessee, formed by people at the immigration firm Siskind Susser to bring the firm's internal tools to the wider immigration bar. It answers immigration research questions with citations from a curated library of agency materials, AILA publications and more than 10 million cases. It drafts petitions, briefs and support letters for a published list of business, family and humanitarian case types, from O-1A and EB-1A to asylum, U visas and BIA appeals. It also analyzes uploaded documents, translates and summarizes them, assembles exhibit lists, and organizes work by project with team permissions and audit trails. It is designed for attorneys who are AILA members, with paralegals working under a supervising attorney's account. Visalaw publishes its full contract set, including a platform agreement, data processing addendum and security addendum that bar training on customer data by Visalaw or its model providers. Published plans start at $220 a month, with Pro at $480 and custom Enterprise pricing.
VitalLaw Expert AI is the generative AI layer of VitalLaw, the legal research platform sold by Wolters Kluwer Legal & Regulatory U.S., the New York based U.S. legal unit of Wolters Kluwer. Launched in September 2024 as VitalLaw AI and since renamed, it answers research questions in conversation, summarizes documents and surfaces key points and risks, and drafts checklists, memos and policy language. It draws only on Wolters Kluwer's own content inside VitalLaw, from treatises and reporters to editorial analysis, across more than 26 practice areas, among them tax, securities and privacy. Answers come with footnotes and pinpoint citations to the underlying sources, a Thinking Mode that shows how a question was broken down, and saved chat history, and Wolters Kluwer editors write vetted answers to common complex questions. It is sold to law firms and corporate legal departments as part of VitalLaw subscriptions. Wolters Kluwer states that it never uses customer data to train public models.
Vixio is a regulatory intelligence business built on analyst written coverage of two markets, financial services and gambling, sold through PaymentsCompliance and GamblingCompliance. Its platform follows a five stage regulatory change lifecycle: horizon scanning for new and amended rules, identifying which apply to a business by jurisdiction, product and entity type, assessing impact through gap analysis and severity rating, implementing changes through tasks and project tracking, and keeping an audit record. Around that sit jurisdiction and requirement reports, analysis and commentary, requirements extraction, regulatory mapping, an obligations library and a document store. VIQ is the AI assistant over that body of content. It draws only on Vixio's own analyst verified data, not the open web, and cites every claim back to source text or an analyst report. It says it does not know rather than guessing, and turns queries into board reports, timelines and market entry assessments. Buyers include payments firms, banks, digital asset firms, gambling operators and suppliers, and separately regulators and law firms in both industries. The operating company is Compliance Online Limited of London, trading as Vixio since 2006.
Vulcan Technologies is an Austin, Texas company building AI agents for legal, regulatory and government work. Its legal product, Justinian, is an agent that plans research, reads a knowledge graph of American law and policy, and drafts memos, redlines, rule text, comment responses and citation check reports with the sources attached. The vendor puts its source collection at about 157 billion records across 141 source families, from federal and state statutes and regulations to court records and a citation graph. Justinian runs on the web, in desktop apps, in Slack and Microsoft Teams and by email, and since September 2026 includes Vulcan Office, a built in editor for documents, spreadsheets and slides. Government customers use it for regulatory review, rule drafting, legislative tracking and permitting; its public deployment list names the EPA Office of Inspector General and statewide deployments in Louisiana and Arkansas. A second product, Trajan, helps citizens and businesses complete permits and applications on government websites. The federal deployment, VulcanGov, runs in AWS GovCloud (US) and is designated FedRAMP Ready. The company announced a $10.9 million seed round in October 2025, with General Catalyst and Y Combinator among its backers.
Wexler is a fact intelligence platform for disputes and investigations teams. It reads a document set and turns it into structured facts, each tied to its source, that can be searched and tagged. It builds a chronology of the facts and their significance to the dispute, and flags contradictions, gaps, overlaps and timeline clashes across the evidence. Its assistant, Kim, answers questions about the factual record with sourced facts grounded in the customer's own documents. The product covers early case assessment through to trial, and published customers include Clifford Chance, Goodwin and Burges Salmon. The company states ISO 27001 certification and SOC 2 Type II accreditation, offers private cloud deployment, and stores data in the UK, the US or elsewhere on request. Legora acquired Wexler on 29 July 2026, and Wexler continues to be sold under its own name from its own platform. It works from London and New York.
Wisedocs is an AI medical record review platform for claims work, sold to insurance carriers, third party administrators, independent medical evaluators and law firms. It takes unstructured claim files, medical records, legal forms and insurance documents, including faxes, scans and handwritten notes. It sorts, indexes and deduplicates them, separates mixed claimants, builds chronologies by date, provider and event, and generates medical summaries for causation and liability with every fact linked to its source page. Red flags surface delayed care, timeline gaps and contradictions, WiseChat answers questions about a file, and custom reports assemble verified data for adjusters, evaluators and attorneys. Trained reviewers validate every summary before the user is told it is ready, and the vendor says its models are trained on more than a hundred million documents. Wisedocs AI of Toronto was founded in 2021 and closed a 12.7 million Canadian dollar Series A in 2024 led by Information Venture Partners with Thomson Reuters Ventures. It states SOC 2 Type II compliance achieved in August 2024 and HIPAA compliance, and offers cloud, private cloud, on premises and hybrid deployment with regional model hosting. Pricing is by demo.
Wordsmith is a legal platform built only for in house teams. It captures legal requests from the rest of the business, triages and routes them, resolves routine ones and records what happened. Requests arrive from Slack, Teams, email and other business systems, and plain language rules decide which become tasks and whether they start automatically or wait for approval. Agents then answer questions, review and redline contracts against the team's playbook, and run scheduled work. Around them sit drafting, an assistant, repositories, Reports for extraction with clause and page citations, and Research across more than 130 jurisdictions in 60 countries. Usage & Value turns the work done into estimated hours and outside counsel cost. The product works in Word, Outlook, Gmail, Slack and Teams, and connects to iManage, SharePoint, Google Drive and other tools through native connectors and MCP. Models from OpenAI, Anthropic and Google run under zero data retention terms, and hosting is on AWS in the EU by default. Wordsmith AI Ltd is registered in England and Wales and has raised $100 million.
Workday Contract Lifecycle Management and Workday Contract Intelligence form an enterprise contract lifecycle platform, both powered by Evisort AI. Together they cover intake, drafting, AI redlining against a corporate playbook, negotiation, approval routing, signature and a single contract repository. The platform is sold to legal, procurement and finance teams, among others. Its AI engine combines traditional, generative and agentic components, including a proprietary large language model fine tuned for contracts and an orchestration layer that applies multiple models per task. OCR and AI ingestion handle poor scans and handwriting, pretrained extraction covers roughly 30 standard contract terms, and customers can build their own extraction models for other terms. An Ask AI layer answers questions with links to the source documents. Workday acquired Evisort in 2024 and now sells the technology only under the Workday name. The platform holds an accredited ISO/IEC 42001 certification, first achieved as Evisort in October 2024.
Xakia is a matter management and legal operations platform for in house legal teams of roughly 2 to 200 people, founded in 2016 and headquartered in Melbourne, with offices in Kansas City and London. Modules cover matters and tasks, legal intake and triage, contracts, spend and budgets, documents, entities, disputes and reporting. Xakia Connect is a portal where outside firms accept work, update matters, submit invoices and communicate, and Xakia charges firms nothing to use it and takes no percentage of invoice value. AI features cover contract review and redlining, contract summaries, key terms extraction and Smart Search, and AI invoice review is listed as coming soon. AI is a paid add on for Advance and Professional, included with usage caps in Enterprise and without caps in All In. Plans run from $100 to $230 per user a month. Customers store data on Microsoft Azure in Australia, Canada, the Netherlands, the United Kingdom or the United States, and the platform can be configured in seven languages. Xakia publishes its Terms of Service, data processing addendum, AI addendum and subprocessor list.
XLSCOUT is a large language model platform for patent work, sold to IP departments, patent attorneys and research teams as nine separately marketed modules. Novelty Checker LLM runs first pass prior art searches and returns novelty reports that map the invention's key features against the references found. Invalidator LLM does the same for invalidity, ranking the fifty most relevant references against the claims. ClaimChart LLM builds claim charts for infringement analysis and identifies possible licensees and overlapping products. PatDigger LLM looks across a portfolio for licensing opportunities, and Standigger LLM maps standard essential patents. Drafting LLM produces patent drafts with an assistant for revisions, Ideacue generates and scores invention ideas, and TechScaper LLM monitors technology areas and competitors in English, Japanese, Chinese and German. An AI assisted source code review service sits alongside. Retrieval is built on ParaEmbed, an embedding model XLSCOUT fine tuned on patent and technology data and released openly on Hugging Face, with in house RAG models and Microsoft Azure endpoints. Customers choose US or European storage, and the master agreement says customer inputs and outputs are not used to train the models of XLSCOUT or its suppliers. The company holds a SOC 2 Type II report from Prescient Assurance and is based in Toronto.
Zuva is contract analysis AI from the team that built Kira Systems. When Kira was sold to Litera in 2021, its founders kept a copy of the underlying AI and about 30 of its staff, and that became Zuva Inc. of Toronto. Its extraction models recognize more than 1,400 contract provisions and classify more than 225 document types, and lawyers have trained them since 2011 rather than building on a general purpose language model. Zuva sells the technology five ways. Zuva Analyze is a self serve review tool at $10 a document that exports to Excel or Word, and its Answers fields pass extracted clauses to a language model that picks from fixed answer choices. The Zuva API puts extraction, classification and language detection behind a REST interface, with a Power Automate connector that Microsoft's legal team has used. Zuva Create lets lawyers train their own fields without code. Diligence Reviews pair the AI with former large firm M&A lawyers to produce sell side pre diligence reports and disclosure schedules, mostly for $10,000 to $75,000. Bidder Question Management, in free beta, tracks buyer questions in an auction. The service runs on Microsoft Azure in the United States or Europe or self hosted, and Zuva states SOC 2 Type II certification. Under the Kira sale, Zuva does not sell interface products directly to law firms until later in 2026.