Contract Review & Drafting

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Inhubber

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.

IntelAgree

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.

Ironclad

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.

Ivo

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.

Jurimesh

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.

Juro

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.

Law Insider

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.

Leah

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.

LegalOn

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

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.

Legartis

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

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.

LexCheck

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.

LinkSquares

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.

Luminance

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.

Malbek

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.

Marveri

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.

Miramis

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.

Noetica AI

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.

Olava

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.

OnitX CLM

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.

PostSig

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.

Pramata

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.

Precisely

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.

Robin AI

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.

Sirion

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.

Spellbook

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

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.

Summize

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.

Syntracts

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.

Thomson Reuters Document Intelligence

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

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.

Tomorro

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.

Workday Contract Lifecycle Management

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.

Zuva

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.