LawVu vs Legistify: how they compare in 2026
LawVu emphasizes a connected in house operating system for intake, matters, contracts and legal spending. Legistify puts more emphasis on contracts alongside litigation, intellectual property and notices, with India oriented case connections. Their automation paths also differ. LawVu's AI Workflows can begin from new matter or contract events and include configured approval steps, while its Assistant can help process invoices within a reviewed action flow. Legistify's Monitor schedules recurring research, and Codex organizes selected materials into projects that produce editable work. Both support contract revision, although LawVu Draft works within Word using playbooks and Legistify Redline supplies tracked changes with an explanation of each proposal. The better fit depends on whether the department needs event driven operational workflows and spend collaboration or a combination of agreement review, litigation tracking and scheduled research.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
LawVu's matter records, intake forms, contract repository and invoice approvals operate without generative AI. Intelligence adds extraction, billing guideline review, answers and record changes to that foundation. The Assistant replaces the earlier Workspace Intelligence chat and works across the spend module as well as matters and contracts. Its invitation beta and the Business Portal proxy preview have narrower availability than the general LegalOS marketing. Lens is an early access contract analysis feature, with Data Protection and Confidentiality available and other category templates still planned. Draft supplies Word redlining and clause reuse. Administrators can build AI Workflows that classify new matters, route contracts or create tasks. Manual and new-record triggers are supported; scheduled triggers remain forthcoming. AI reaches several operational jobs, while the underlying system of records remains useful without it.
Legistify embeds AI in its contracts, litigation, intellectual property and notice workflows. Codex drafts and analyzes material selected from those modules, while Projects group up to fifty related cases or agreements with shared instructions. Contract tools extract terms, assess playbook rules and produce tracked revisions. Monitor runs scheduled research and presents new findings in a feed or digest. Users can also generate editable Word, spreadsheet and presentation artifacts from their working materials. The underlying platform still handles repositories, case updates, permissions, signatures and deadlines without generative output. AI therefore expands an established legal operations suite rather than defining every transaction in it.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Lens lets a reviewer expand an extracted clause and open its source contract in context. It accepts DOCX and PDF files, with citation highlighting currently available only for PDFs. A sample run can cover up to 25 contracts before a full extraction. Its grid separates Not Found, where no relevant provision is identified, from Unclear, where conflicting or ambiguous language cannot be mapped confidently to a value. The Business Portal assistant can supply source excerpts and direct unsupported questions into a legal request. Draft compares proposed wording with the customer's clauses and playbooks. These controls help a person verify an answer; they do not establish an accuracy rate. The AI service terms require human review and disclaim completeness and accuracy. No measured legal error benchmark accompanies these features.
Codex Redline presents the original wording, proposed replacement and reason for each change, with tracked revisions preserved in the downloaded Word file. Playbook analysis separates satisfied rules from unmet or inapplicable requirements. Monitor findings include numbered source links that open the underlying material, plus a confidence indication and an explanation of relevance. These features let a reviewer inspect the basis of a proposed edit or research result. No published evaluation quantifies unsupported assertions, citation mistakes or performance across legal tasks. A source link and a favorable playbook finding do not establish that an authority remains current or that an interpretation is correct.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The conversational Assistant asks for approval before creating or updating records and groups batch operations into at most ten actions per approval. Changes and declined approvals enter its audit history. AI Workflows are different: an administrator configures actions, conditions and optional approval steps, then activates the workflow for manual or event-driven execution. The editor has test mode, version restoration and step-by-step execution results; scheduling is still forthcoming. MCP-connected external tools can create matters, assign tasks and trigger contract workflows. LawVu recommends human confirmation for their writes but does not describe a mandatory approval on every MCP action. Existing user permissions constrain each connection. The acceptable use policy bars consequential automated decisions without oversight, testing or prior risk evaluation, while product-specific workflow settings determine when a person intervenes.
Users choose the files, case connections and project context supplied to Codex. Generated artifacts remain editable, and further requests create versions that can be compared or restored. Redline changes retain Word's acceptance and rejection workflow, with an explanation of each proposed revision. Monitor can operate hourly, daily or weekly after setup, but its described action is collecting and presenting findings. Bedrock Guardrails can block sensitive inputs or mask personal information before processing. No general workflow specifies when uncertain legal reasoning must be escalated, and automated monitoring does not establish authority to file a pleading or execute an agreement for the customer.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Sizzling Platter corporate counsel Samuel Gray attributes a three-month implementation to LawVu's migration support, including the bulk creation of more than 700 matters from spreadsheets. The customer story estimates that avoiding manual entry saved up to 175 hours. It also describes faster access to matter context, links between stores and acquisition agreements, SharePoint collaboration and a Mexico team's contract creation wizard. Its estimate of ten to fifteen hours saved each week depends on assumed daily matter activity, rather than a controlled study. The story has no visible publication date and does not isolate AI's contribution. Named users at Axel Springer and AES also describe Word adoption and shared drafting knowledge. These are identifiable customer accounts of operating benefits, without independent measurements of the newer Assistant or Lens.
Named customers describe operational use of the platform. Decathlon's Mihir Shriram discusses the contract management process, while Dabur's Mukesh Mittal describes organizing and labeling contracts in a central repository with automatic reminders for key dates. Shoppers Stop's Pratiksha Shukla describes access to case activity and analytics. These accounts identify users and the work supported, but do not isolate the contribution of Codex or report a measured baseline, observation period and result for AI assistance. General claims about faster work and lower costs therefore remain separate from a demonstrated reduction in review time, missed deadlines or litigation expense.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
LawVu's AI service terms prohibit third parties from using customer data or outputs to improve or train AI models. Its AI FAQ extends the no-training position to LawVu itself and says Azure OpenAI monitoring is disabled under an exemption. Restricted matters admit named members, and the native Assistant and MCP server enforce the requesting user's existing permissions. A significant history limitation remains: a conversation is not removed when a user later loses access to the matter discussed in it. Organization administrators can review Business Portal conversations. MCP also transmits relevant legal data to the customer's chosen AI provider, whose processing terms are outside LawVu's control. The SaaS confidentiality clause protects customer information but permits necessary disclosures and professional advisers; it does not promise that uploading material preserves legal privilege.
The service terms promise confidentiality for documents and case information uploaded to an account, retain customer ownership and permit use to provide the service. Public questions and postings have a different, broadly licensed treatment. AI architecture guidance prohibits using prompts, files and outputs to train foundation models and describes processing through Bedrock within Legistify's AWS environment. Litigation administrators assign roles, permission rights and case followers; staff access follows least privilege and confidentiality obligations. The newer Codex model menu includes options not mapped by the architecture guidance, and a complete processor schedule is not supplied. Attorney privilege itself depends on the customer's use and governing law.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
LawVu's AI service terms say output is not legal or other professional advice and require review before decisions or further processing. The acceptable use policy prohibits substituting the service for licensed advice, allowing unqualified people to rely on legal outputs without professional supervision, or making legal determinations solely from AI. The Business Portal preview turns conversations into legal requests when human input is needed and identifies the customer's legal team as the source of legal advice. It currently serves in-house users acting as proxies, with standard business users excluded from that beta. These are concrete professional boundaries within an internal legal workflow. They do not vary by jurisdiction or map individual features to local rules on authorized legal practice.
Legistify states that it is not a law firm and that its information does not constitute legal advice. Its older marketplace terms distinguish the platform from independent experts and discuss lawyers' professional obligations. Codex presents generated material as a starting point for review and refinement rather than a replacement for legal judgment. These boundaries apply alongside drafting, contract analysis and litigation assistance that can influence legal work. The service does not provide a jurisdictional allocation of responsibility for each AI workflow, and its enterprise contracting terms may differ from the general website and service terms. Human review remains necessary before professional reliance.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
LawVu's six AI principles address user needs, transparency, reliability, security, trust and privacy. They apply to AI in the business and its products and are intended to be reviewed annually. Its AI FAQ commits to privacy impact assessments for new features and places AI within the existing security and privacy program. Organization administrators control generative AI enablement; some non-generative functions, including invoice extraction, are enabled by default. Workflow administrators can test actions and inspect execution outcomes before broader use. The MCP guide explicitly describes prompt injection, tool impersonation and external-provider risks. Neither those guides nor the principles provide bias test results or a named AI governance owner. ISO 42001 certification claims also conflict with the older FAQ's statement that an audit is still being pursued.
Legistify describes a controlled Bedrock architecture with Guardrails applied to both requests and responses. Input protections can stop sensitive submissions or mask personal information, and safety filters operate on returned content. Guardrail configurations are tested, versioned and deployed as snapshots under Legistify's control. Separate security policies assign ownership, management approval and annual review to the CISO and other responsible personnel. This establishes mechanisms for changing and supervising AI protections, but no legal task evaluation results, demographic bias analysis or model specific acceptance criteria are supplied. The relationship between newer selectable models and the stated Bedrock controls also remains unresolved.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
The data processing addendum requires breach notice without undue delay and, where feasible, within 72 hours. New subprocessors require thirty days' advance notice, with fifteen days to object on data protection grounds. Personal information must be returned or destroyed at termination or request, subject to the agreement and legal retention. The SaaS terms allow a request within one month after termination and backup retention for up to one year. Azure inference is transient, but Assistant conversations, actions and approvals persist: logs are visible for thirty days and available from LawVu afterward, without a stated final deletion date. Restricted membership, SAML authentication with SCIM provisioning, enforceable multifactor authentication, AES-256 encryption and TLS 1.2 or later control access. Backups provide a 35-day point-in-time restore.
Stored files use encrypted S3 storage, and the service applies TLS in transit, access controls and activity logging. Bedrock inference is described as stateless, but Codex automatically saves conversations within the application. Customer data may remain for up to seven years under the AI guidance, with deletion available on verified request and detailed timing supplied individually. Database snapshots have separate retention windows, including monthly copies kept for twelve months. Incident policies define severity, escalation and internal response targets, including thirty minutes for critical incidents. Customer notification follows applicable obligations rather than a fixed published deadline. These controls leave retention and provider coverage dependent on the particular workflow.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
The SaaS terms, which apply to order forms signed after 13 May 2024, cap each party's liability in a calendar year at the fees paid or payable for that year. They exclude indirect and consequential loss, lost profits and loss of data, and lift the cap only for personal injury, death or fraud. LawVu indemnifies the customer against third party claims that its use of the services or platform infringes intellectual property. The indemnity excludes unauthorized use or modification, breach of the agreement, materials LawVu did not supply, and third party or personal data. The AI service terms, effective 30 April 2026, carve AI output out. LawVu does not warrant that outputs are complete or accurate, accepts no liability for loss relating to them, and requires the customer to review every output before use. The services are provided as is. New Zealand law governs, or Delaware law for customers in the United States, with arbitration in each.
The general service terms disclaim accuracy and broad categories of loss, require users to indemnify Legistify for claims arising from use, and limit the stated monetary remedy to facilitation charges paid through the platform. They do not give a distinct warranty or indemnity for erroneous AI drafting, advice or citations. Those terms contain extensive provisions for expert consultations and public content and expressly allow separate written agreements for particular services. Their remedy should therefore not be represented as a verified enterprise subscription liability cap. A negotiated enterprise agreement could allocate responsibility differently, but its AI warranties, exclusions and insurance terms are not public.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
LawVu's MCP setup requires support activation, followed by an organization administrator enabling the integration tile. External AI clients connect to its remote endpoint with OAuth 2.0. Read tools retrieve matters, contract details, files and knowledge; write tools create matters or wizard contracts, assign tasks, post status updates and trigger contract workflows. Each action respects record membership and enters the activity log. Microsoft's Power Platform connector provides a separate commercial authentication route and distinct United States Government and demo connections; connections are not shared between users. Draft operates inside Word and supports side-by-side Word or PDF comparison. Sizzling Platter's customer account describes linking matters to SharePoint folders and using the API for Power BI. The buyer controls the security of external AI clients and licenses for third-party platforms.
The litigation API accepts a case identifier and customer reference to begin tracking, and separate webhooks send newly discovered cases and later updates into the customer's database. Implementation requires the customer to expose endpoints and configure authentication. The signature API accepts a PDF and signer details, then returns the executed file, signature timestamps and audit trail through an authorized webhook. Outlook synchronization requires Microsoft administrator consent for Graph mail permissions. SAML setup specifies identity provider metadata and separate test and production callbacks. These instructions identify the information transferred, its direction and the customer's setup work, beyond the integration logos displayed with the platform.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
LawVu hosts customer data in Microsoft Azure and contractually commits to the chosen storage region: Australia, the United States, Europe, Canada or the UAE. Primary and secondary data centers remain within that geographic boundary, with logical segregation between customers. The subprocessor list specifies a separate route for some AI processing. United States and European Azure OpenAI data stacks follow the SaaS agreement; Australian and UAE customers' requests run in Europe, and Canadian requests run in the United States. The AI FAQ describes that processing as transient, while the customer's system of records stays in its selected region. A customer-selected AI provider connected through MCP receives relevant data under its own terms, outside that native inference arrangement. The service availability commitment is 99.95 percent.
Production infrastructure and databases are hosted in AWS Mumbai, and the Bedrock architecture guidance places inference in that same Indian region. Deployment options include shared service components, customer controlled storage or databases, and infrastructure dedicated to a customer under Legistify's management. The deployment table and accompanying explanations reverse the database allocation of two intermediate options, so their labels do not reliably identify the exact configuration. Codex also lists newer Claude and GPT choices without a matching routing description. India hosting is clear for the stated core environment, but processing location and isolation require confirmation for the selected model and deployment arrangement.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
LawVu dates its ISO 27001 certification to April 2019, its first SOC 2 audit to January 2020 and its first SOC 1 audit to February 2021. It also claims 2025 certification against Dubai's cloud service provider standard and AssuranceLab compliance seals for HIPAA, GDPR and CCPA. The certificates, statement of applicability, SOC reports and penetration test reports require access to a confidential security pack. The open pages do not identify the current ISO or SOC auditor and reporting period. Annual penetration testing uses CREST-certified providers, with daily Qualys vulnerability scans. AI marketing now claims ISO 42001 certification, while the March 2026 AI FAQ still describes certification as being pursued. That unresolved difference prevents treating the newer claim as a verified certificate.
A downloadable SOC 2 Type II report by FinAudit CPA PLLC covers March 1, 2025 through February 28, 2026 and expresses an opinion on security, availability, confidentiality and processing integrity controls. Its scope includes the contracts, litigation, intellectual property and notice services; AWS controls and customer responsibilities are treated separately. KVQA issued ISO/IEC 27001:2022 certification for the SaaS activities through August 4, 2028, subject to successful surveillance. A separate ISO/IEC 27701:2019 processor certificate expires May 22, 2027. These are identifiable service organization assurances with scope and dates, rather than reliance solely on the cloud provider's certifications or an AI accuracy guarantee.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
LawVu identifies Microsoft services by feature. Azure AI Foundry supplies models for contract extraction, bulk imports, billing guidelines and drafting. Azure Document Intelligence handles invoice extraction; Content Understanding also supports Workspace Intelligence and billing guidelines, and Azure's retrieval service supports Draft. The Assistant uses Microsoft's Agentic Framework with Azure OpenAI, while Lens combines Azure Document Intelligence and Azure OpenAI models. Specific model versions and an advance model-change notice are not stated for those features. LawVu provisions and manages the native models. Its separate MCP server connects customer-chosen tools such as Claude, ChatGPT and Copilot agents, with provider processing outside LawVu's control. The subprocessor list maps Azure OpenAI processing countries, and the DPA adds notice before new subprocessors.
The AI architecture identifies AWS Bedrock and names Claude and Llama model families, including Opus 4.6, Haiku 4.5 and Llama 3 variants. It describes private AWS processing with Guardrails and no foundation model training on customer inputs or outputs. The newer Codex guide lists additional choices including Sonnet 5, Opus 4.7, GPT-4o-mini and GPT 5.1, but does not reconcile those choices with the earlier provider and regional description. A buyer can identify several offered models, while the exact processing route for each remains unclear. No customer notice commitment explains model substitutions, version retirement or changes to the provider chain.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
LawVu quotes subscriptions from selected capabilities and user numbers without a starting amount or standard seat rate. Matters covers intake and matter management, Essentials adds contracts, and Ultimate adds spend. Draft can be purchased separately or added to a subscription; the agentic workflow builder is a paid addition. The plans FAQ specifies a first-year onboarding fee, while support and customer success are included. Some integrations cost extra. Spend pricing uses the number of outside firms rather than a percentage of legal expenditure. The invitation AI beta is initially available to selected Essentials and Ultimate customers at no additional cost, with future consumption tiers under evaluation. Standard terms renew annually unless either party gives thirty days' notice; renewal increases generally have a fifteen percent ceiling, excluding consumption-based rate cards.
Legistify sells a configurable legal operations suite covering contracts, litigation, notices and intellectual property, with a demonstration and individual quotation. No starting subscription amount, standard seat charge or included AI consumption allowance is stated. The deployment options indicate that additional infrastructure can be priced separately, but do not attach amounts to dedicated components or customer managed storage. The service terms also discuss expert consultation payments and refunds, which do not establish the cost or cancellation rights of the enterprise software. Implementation charges, model usage limits, renewal increases and the commercial effect of expanding to another module require an agreed proposal.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
LawVu serves in-house legal departments across healthcare, higher education, software, financial services, government, energy, manufacturing and insurance. Its role-specific workflows address general counsel, legal operations, IT and teams adopting their first legal system. Customer groupings span Asia-Pacific, North America, the United Kingdom, Europe and the UAE. LegalOS combines intake, matters, contracts, files and reporting, with outside counsel spend in the Ultimate plan. Law firms participate as service providers through matters, invoice submission and billing guidelines; this is not a law firm's client-accounting or court-filing system. Draft supports common commercial agreements such as NDAs, MSAs, supplier and sales contracts inside Word. The Business Portal AI remains a restricted preview, so its broad intended business audience should not be mistaken for general availability.
The suite serves corporate legal departments managing contracts, Indian litigation portfolios, intellectual property and incoming notices, with workflows also involving finance, sales and human resources. Case tracking covers Indian district courts, high courts and the Supreme Court, while signing includes local electronic signature options. Codex connects to the different modules and supports drafting, matter analysis and scheduled monitoring from selected material. Named customer examples span retail, consumer products and manufacturing. The service does not set clear organization size limits or provide a task by task language and jurisdiction matrix for AI output. Court tracking coverage should not be treated as universal legal research coverage.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
LawVu's AI service terms, part of the customer agreement, bar third parties from using customer data or outputs to improve or train AI and machine learning models, including LawVu's AI services. The AI security and privacy FAQ adds that LawVu trains no models on customer data, directly or indirectly, and does not let its service providers train theirs. Inputs and outputs to the AI services are not used for training. LawVu operates under an exemption from Microsoft's standard Azure OpenAI monitoring, so Microsoft may not access or monitor that usage.
The SaaS terms let LawVu collect anonymized statistical data from use of the services, such as session data, page loads and which features are used, to improve services and develop new ones. This native-service commitment does not establish the terms of a customer's separately connected MCP provider.
Legistify's AI guidance prohibits using customer prompts, uploaded files or generated outputs to train, fine tune or improve foundation models. It describes Bedrock processing for the requested task within Legistify's AWS account. The service terms separately protect account documents and allow their use to deliver services, while public postings receive a broader license. The training restriction is a policy statement rather than an express AI clause in those terms. Newer Codex model options still need a matching explanation of the provider path and applicable commitments.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Native AI requests are transient at the inference service, while the results and conversations can persist inside LawVu. Assistant conversations, actions and approvals form an audit record visible for thirty days, with older logs available from LawVu on request and no final retention period specified. Business Portal conversations remain available to the user and authorized administrators. Changing a user's matter permissions does not revise prior conversation history.
The SaaS terms allow a copy request within one month after termination and backup retention for up to a year. External AI tools connected through MCP have separate retention terms controlled by the customer's chosen provider.
Bedrock is described as retaining no prompts or outputs after inference, but Codex automatically saves every conversation in the workspace. Customer data may remain for up to seven years for legal or tax requirements; deletion can be requested, with completion timing supplied individually. User activity logs remain over a year and technical logs typically fifteen days. Monthly database backups remain twelve months. The older service terms also describe indefinite storage of supplied information. These different layers prevent a single zero retention claim for the product.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
LawVu restricts a matter to named members, including external legal service providers where invited. Administrators can see limited identifying fields in a restricted-entities report, but not the matter contents. Contracts, statements of work and amendments created within restricted parents inherit membership; previously linked contracts and newly created child matters do not automatically inherit the restriction. Delegates also require explicit membership.
The native Assistant and MCP connections apply the user's access rights, using LawVu's own permission model. Saved conversations are not revised after later permission changes, so a user can retain previously discussed material in chat history.
Litigation administrators assign Admin, Legal, Business or Lawyer roles, then toggle the access rights available to each role. Case follower mapping can add a user to every case or limit assignment to selected cases through individual or bulk mapping. Permission management itself is restricted to administrators unless delegated. These are Legistify controls rather than inherited permissions from an outside document management system.
Codex lets users select cases and project context, but formal conflict screening and automatic ethical wall enforcement across every AI connector are not specified.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
LawVu's data processing addendum commits it to notify the customer promptly of any legally binding request for disclosure of customer personal information by a regulatory body, unless the law prohibits notice. The commitment covers requests addressed to LawVu or any of its subprocessors. The addendum also commits LawVu to tell the customer about monitoring or investigations by a regulatory body. Regulatory bodies are defined to include government departments and regulatory and statutory bodies entitled to regulate or investigate data security and privacy.
The SaaS terms add that a party required by law to disclose the other's confidential information must notify the other immediately in writing where permissible and disclose only what is required. LawVu issues no transparency report. Once a calendar year, under a nondisclosure agreement, a customer can have the latest independent audit report, with an audit at its own cost where the report is not enough.
The privacy policy permits disclosure for legal requirements, court orders, government inquiries and specified protective purposes. It also describes cooperation with verified law enforcement requests and circumstances in which disclosure can occur without a subpoena. The service terms similarly permit disclosure of account information and content for compliance, enforcement and protection of rights. Neither supplies a general promise to notify the enterprise customer before its material is produced. Security incident communication obligations address breaches and do not create notice rights for compelled disclosure.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
LawVu's AI works from the customer's own material. The Assistant draws on matters, contracts, policies, knowledge repositories and legal notes in the customer's LegalOS. LawVu Draft drafts and reviews from the customer's clause library, precedents and imported playbooks, with LawVu's base templates as a starting point. The Business Portal assistant answers business users from knowledge content the legal team makes available, and LawVu Lens reads the customer's executed contracts. No primary law collection, licensed legal content or update cadence sits behind the answers.
Legistify tracks Indian court matters and provides case details, orders and hearings through its litigation service. Its coverage describes district courts, high courts and the Supreme Court, and API examples identify individual Indian courts. Monitor can return linked findings about legal developments, while Codex also uses uploaded case materials and optional web results. A consolidated inventory of legal source collections, publication rights, update schedules and licensing terms is not provided. Access to court information therefore does not establish a licensed research corpus for every AI response.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
LawVu works on contracts, matters and invoices rather than case law, so a citator sits outside the product. Draft checks contracts against the customer's playbooks and clause library, and Lens cites back to the source contract rather than to legal authority. Lens identifies risky terms and inconsistencies across a contract portfolio against the customer's own standards. Keeping playbooks, clauses and policies in step with changes in law is the work of the legal team that maintains them.
Monitor provides source links and explanations for detected legal developments, and the litigation service tracks hearing dates, orders and case status. Neither function is specified as a precedent treatment service that determines whether a judgment has been overruled, distinguished or limited. Codex's review instructions retain human judgment but do not supply a licensed citator or an integrated good law verification step.
A current case status and an accessible court order answer different questions from the continuing legal authority of a proposition used in a draft.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
Lens distinguishes a provision it cannot find from language it cannot confidently interpret. Not Found means no relevant clause was identified; Unclear marks ambiguous or conflicting wording that cannot be mapped to a defined value. Reviewers can open the source contract and inspect the text, with citation highlighting for PDFs. The Business Portal preview also declines unsupported answers, suggests another retrieval attempt or escalates to a legal request.
These are stated product behaviors, not an independently measured refusal rate. The AI terms still require review, and the current preview is available only to in-house proxy users.
Bedrock Guardrails support a block mode that stops requests containing sensitive information and a masking mode that replaces personal information before processing. The controls apply to input and output, with versioned configurations. Monitor findings also display a confidence indication, such as Medium, alongside relevance reasoning and linked sources. These are described mechanisms, but no repeatable legal task demonstration or error calibration is supplied.
The block condition concerns protected input and safety categories; it is not a general promise to abstain whenever a legal answer lacks adequate support.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming LawVu, LawVu Draft, LawVu Lens or ClauseBase. LawVu drafts contracts and answers questions from an in house team's own records rather than producing court filings.
No entry naming Legistify or LegisAI as the tool responsible for fabricated legal authority was identified in the AI Hallucination Cases database as of October 16, 2026. This result does not measure the accuracy of Codex drafts or establish that its court summaries are free of error. The service's work includes internal contract and matter analysis that may never become a reported citation dispute. Users still need to inspect original authorities and proposed revisions before relying on generated material in professional work.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
LawVu's acceptable use policy refers to professional duties in general terms. It bars using the AI services as a substitute for licensed legal, financial or other professional advice. It also bars letting unqualified individuals generate or rely on outputs such as legal documents without appropriate professional legal supervision, and relying solely on AI output for legal or regulatory determinations without human review.
The policy incorporates Microsoft's Enterprise AI Services Code of Conduct and forms part of the SaaS agreement. LawVu's guide to AI for in house teams covers adoption and procurement. These terms do not name a bar opinion, such as ABA Formal Opinion 512, or a professional conduct rule in New Zealand, Australia or elsewhere.
The general terms refer to lawyers' professional standards and discuss the qualifications and conduct of experts using the marketplace. Legistify also states that it is not a law firm and requires review of AI assisted work. These are broad professional boundaries, not a mapping of particular product controls to a named bar opinion or a jurisdiction's rules on confidentiality, competence and candor. The enterprise user must separately determine how local professional obligations apply to selected models, client information and any generated material used externally.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
LawVu's spend module is the payer's record of outside counsel fees. Firms upload invoices, including LEDES files, and see their matters, invoices and billing guidelines in a self service portal. The legal team receives, adjusts and approves invoices, routes approvals through drag and drop workflows and sends approved invoices to finance. AI extracts cost details from PDF invoices and flags discrepancies with billing guidelines, such as rate or scope issues, in real time.
Reporting tracks spend by firm and matter. Legal teams send RFPs with scope and budget, compare firm proposals side by side and receive AI provider recommendations. Spend management is priced by the number of firms a customer works with rather than by its spend. The billing guidelines are the customer's own, so any rule on how firms bill AI assisted work is set by the legal team in those guidelines.
Legistify's enterprise suite supports an organization's internal legal operations, including case budgets, external counsel activity, contracts and notice handling. Efficiency claims concern that department's workload rather than adjusting time charged by its lawyers to clients. The older marketplace terms describe payments for expert consultations, but those payment provisions do not establish AI time accounting in Codex.
No mechanism allocates saved drafting time to a law firm's invoice or prepares a client disclosure about charging for AI assisted work.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
LawVu supplies a provider list with processing countries, an AI feature-to-provider mapping, a DPA and AI service terms. The subprocessor list distinguishes mandatory infrastructure from optional services and includes Azure OpenAI routing for each customer storage region. Its DPA adds incident notice, subprocessor objection and annual independent audit-report access. Certificates and detailed reports require the confidential security pack.
The MCP guide separately explains that connected AI providers receive customer data under their own terms. This gives a legal team material for a client or auditor disclosure, but the team must add the particular external AI services it enables and resolve the conflicting ISO 42001 claims.
The open help center provides AI architecture explanations, security and privacy policies, access management procedures, deployment options and downloadable audit and certification materials. These supply information about the service's controls and processing that a legal team can use in client diligence. They do not form a complete outside counsel guideline compliance workflow or identify every processor for all current Codex models.
Model routing differences, deletion timing and the exact enterprise contractual terms still require clarification for a client's particular restrictions.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Assistant conversations, approvals and actions enter LawVu's audit logs, as do writes from connected MCP tools. Logs remain visible in the product for thirty days and available from LawVu afterward on request. Lens can export extracted clauses and values to Excel, respecting each user's contract permissions; a reviewer can open the original contract to verify an extraction. These records help explain an internal legal workflow, but do not form a court-specific declaration identifying the model and human review for every submitted document. LawVu primarily manages contracts, matters and invoices rather than filing generated legal arguments.
Codex saves conversations and retains artifact versions that users can compare, restore and download. Redline explains proposed changes and preserves Word's tracked revisions, while Monitor retains dated findings with source links and confidence indications. These features can help reconstruct portions of AI assisted work. They do not establish a complete export tying every answer to its exact model version, full source context and the approving lawyer.
A court specific declaration, certification template or automatic record of independent authority verification is not described.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Good Law Verification
Which one fits
Choose LawVu if
- New matters or contracts should trigger a defined workflow. LawVu's builder supports those events, manual execution, test mode, versions and optional human approval steps.
- The team needs in workspace spending assistance. LawVu's Assistant supports invoice actions with confirmation, including reviewed batches of up to ten invoices.
- Contract drafting belongs in Word with a reusable playbook. LawVu Draft proposes revisions and supports comparison without moving the drafting process into a separate standalone editor.
Choose Legistify if
- Legal operations include ongoing Indian litigation tracking. Legistify connects case updates and discoveries with the department's systems through its litigation APIs and webhooks.
- Research should recur at a fixed interval. Monitor offers hourly, daily and weekly runs, with stream or snapshot outputs and links for review.
- Reviewers want the original wording, replacement and explanation together. Redline prepares Word revisions using the agreement and the team's supplied rules.
In summary
LawVu
LawVu combines a matter and contract workspace with intake, spending and AI assistance. When legal requests must trigger a repeatable sequence of actions, the AI Legal Index emphasizes its AI Workflows builder with testing, version restoration and configurable approval nodes. The MCP connection can extend access to an external assistant, under its separate configuration and provider terms.
Legistify
Legistify assembles legal work across agreements, litigation, intellectual property and notices. Codex projects can use selected files and custom instructions, while Monitor runs hourly, daily or weekly research. A scheduled run can return source links and confidence indicators for the legal team to inspect.
Questions buyers ask
Which automation can run on a schedule?
Legistify Monitor supports recurring research at selected intervals. For departments following changing issues on an ongoing timetable, the AI Legal Index distinguishes that scheduled capability from LawVu's current AI Workflows triggers. LawVu supports manual and record event starts; workflow scheduling remains a planned capability.
Are all of LawVu's contract analysis tools fully released?
LawVu Draft and its workflow functions should be distinguished from Lens, which is in early access. Lens begins with a sample set and selected review categories. The Business Portal assistant also has a beta scope, so neither preview should be assumed to have unrestricted availability. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
How do data region choices differ?
LawVu uses Azure regions in Australia, the United States, Europe, Canada and the United Arab Emirates, with specific AI routing exceptions for some regions. Legistify describes India based Bedrock architecture, but its newer Codex model options are not fully reconciled with that route. Neither core storage description alone establishes the location of every model request. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What is the difference in training commitments?
LawVu's AI terms prohibit training on customer inputs and outputs, including by its providers within the covered service; external MCP assistants have their own terms. Legistify's Bedrock architecture describes a no training policy for customer material. Those statements differ in contractual form and in the scope of model routes they explicitly cover. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
LawVu Lens and the Business Portal assistant have limited release scopes. Legistify's current model routing contains unresolved differences between its architecture guide and Codex menu. Neither vendor reviewed this page.