Lexis+ with Protégé vs Westlaw: how they compare in 2026
Westlaw and Lexis+ with Protégé (formerly Lexis+ AI) are the two research platforms most firms choose between, and each now runs an AI research layer over its own case law, statutes and editorial content. Westlaw grounds its answers in Westlaw and Practical Law material with KeyCite flags. Its Advantage tier adds Deep Research, an agentic mode that plans multistep research and returns a report with research notes, plus Litigation Document Analyzer and Claims Explorer for litigators. Lexis+ with Protégé answers from LexisNexis case law, statutes and Practical Guidance and checks citations against Shepard's. It adds Vaults for a firm's documents, shared Workrooms and connections to iManage, SharePoint and NetDocuments, so answers can draw on the firm's own files. Both rule out training on prompts in their terms. The buying routes differ. Thomson Reuters prices Westlaw online for firms of up to 10 attorneys, from $155.35 a month, while LexisNexis quotes each organization and offers a 2 day trial. For most firms, the content and citator a team already relies on decides it.
Which one fits
Choose Lexis+ with Protégé if
- Your team already works with Shepard's. Lexis+ with Protégé checks the citations in its answers against Shepard's, and Shepard's Verify flags unsupported statements in responses and in a firm's own drafts.
- You want answers drawn from your own documents. Vaults hold a firm's uploaded files for analysis and drafting, Workrooms let a team share AI work and documents, and connections to iManage, SharePoint and NetDocuments bring the firm's document system into the prompt.
- You want Practical Guidance beside the case law. Answers draw on LexisNexis practice guidance alongside case law reviewed by Shepard's editors and statutes, in one conversational search and drafting tool.
Choose Westlaw if
- You want the AI to run the research plan. Deep Research in Westlaw Advantage plans a multistep investigation, shows its research notes as it works, and returns a report with arguments on both sides and links to each authority, with a Verify tab listing further relevant law.
- You litigate. Litigation Document Analyzer checks an uploaded brief for inaccurate citations and misstatements of law and suggests counterarguments, Claims Explorer lists claims and defenses from a set of facts, and Litigation Analytics covers judges, courts and opposing counsel.
- You want a price before a sales call. Thomson Reuters publishes starting prices for firms of up to 10 attorneys, from $155.35 a month for AI-Assisted Research and $256.75 for Advantage, with 12 and 18 percent off two and three year terms.
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.
Lexis+ with Protégé is a generative layer over a research platform that is decades older and works without it. Without the models, Lexis+ remains a working research service, with Shepard's, case law, statutes and Practical Guidance intact; what goes is conversational search, drafting and summarization. LexisNexis says the AI was built internally with technology partners rather than acquired, and describes the retrieval platform as proprietary.
Westlaw works as a research service without its generative features. The base Westlaw Edge plan sells case law, statutes, regulations, KeyCite, the Key Number System, headnotes, Litigation Analytics and Quick Check with no generative AI, and Thomson Reuters still licenses it on its own. The models drive the two AI tiers. AI-Assisted Research answers plain language questions with links to authority, and Westlaw Advantage adds Deep Research, which plans and runs multistep research and returns a report, along with Litigation Document Analyzer, Complaint Analyzer, Claims Explorer, AI Jurisdictional Surveys and AI summaries of dockets. Thomson Reuters describes Deep Research as custom trained AI working with Westlaw's own research tools rather than a general chatbot placed over the content.
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.
The product was marketed on legal citations free of hallucination, and quoted elsewhere as 100 percent free of hallucination; LexisNexis has not withdrawn the claim. It was tested in Magesh, Surani, Dahl, Suzgun, Manning and Ho, Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools, 22 J. Empirical Legal Stud. 216 (2025), from Stanford RegLab and Stanford HAI, the first preregistered evaluation of commercial legal AI tools. It used 202 handbuilt queries across general research, jurisdiction and time specific, false premise and factual recall categories, scored by experts, with the dataset published. The product hallucinated on more than 17 percent of queries, was accurate on 65 percent, and gave incomplete answers on 18 percent, the best result among the systems tested. Grounding runs through a proprietary retrieval platform, sources reviewed by Shepard's editors, linked citations, a citation check tool and feedback in the product. LexisNexis disputed the figure, saying its internal data showed lower rates, and has not published that data. The study's first method drew objections from both vendors tested and was revised, access limits constrained the design, and the systems were tested in May 2024 and have changed since.
Deep Research runs an agentic process over Westlaw and Practical Law content with Westlaw's own research tools. It quotes primary law in the language of the source and links each authority to the full document. Its Verify tab lists cited and further relevant law to check the analysis, and AI Jurisdictional Surveys show KeyCite status beside each source. Litigation Document Analyzer reviews a whole brief for inaccurate citations, misstatements of law and hallucinated cases. Thomson Reuters says Deep Research can occasionally produce inaccuracies. In June 2024 it said internal testing showed AI-Assisted Research accurate about 90 percent of the time, without publishing the test set. The preregistered Stanford RegLab and HAI study (Magesh and others, Journal of Empirical Legal Studies, 2025) ran in May 2024. It found AI-Assisted Research accurate on 42 percent of 202 questions and hallucinating on about a third, nearly twice as often as the other legal tools tested. Thomson Reuters disputed the result, and Deep Research came after the test.
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 RELX Responsible AI Principles name human oversight, and LexisNexis says human experts review model output for legal accuracy and that review and monitoring run across products. Citations are linked so a user can open the authority behind any point, a user can submit a citation to be checked and told when it may be wrong, and feedback in the product is said to improve accuracy. No autonomy threshold is set, nothing states what the system does without review, nothing describes what expert review covers or how often, and no escalation behavior is described. The independent study found incomplete answers on 18 percent of queries, so the system declines or under answers at a measurable rate, and LexisNexis documents no refusal behavior.
Each AI mode has a stated job and a stated stopping point. AI-Assisted Research answers a question the lawyer asks. Deep Research plans a multistep investigation and runs it without further prompts, shows its approach in step by step research notes, and returns a report with arguments on both sides and links to each authority. Its Enhance tab asks questions to tailor the report, and its Verify tab lists cited and further relevant law. The Deep Research help article sets a categorical limit. Its summary and list of authority should never be used to advise a client, write a brief or motion for a court, or otherwise be relied on without further research. The General Terms add that a licensed professional or similar expert must review AI output before anyone relies on it, uses it or passes it on. Nothing says what Thomson Reuters does once a wrong answer is reported.
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.
The preview from May 2023 is described as covering global law firms, corporate legal departments, small law firms and US courts, and LexisNexis says preview feedback shaped specific changes before general availability in October 2023. The Stanford RegLab and HAI study found 65 percent accuracy across 202 expert scored queries, an outcome measured by a third party rather than claimed by the vendor. No customer, firm or court is named, no usage figure is published, and LexisNexis publishes no outcome measure of its own. The preview group is described only by segment.
Thomson Reuters says more than 50,000 law firms and legal departments use Westlaw, including 80 percent of the Am Law 100, along with more than 6,000 state government agencies and courts in 94 percent of states. The Department of Health and Human Services has granted Westlaw an Authority to Operate. A Thomson Reuters case study names Justly Prudent, a civil rights litigation firm, and credits CoCounsel and Westlaw AI with five times return on investment and a doubling of litigation capacity, without a method a reader can check. At the Deep Research launch in August 2025, Morgan Lewis's chief AI and knowledge officer was quoted on its reasoning, without figures. Usage of the AI tiers is not reported apart from Westlaw as a whole.
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.
The LexisNexis General Terms, effective 5 June 2026, warrant that prompts and files submitted to the AI services will not be used to train any large language model and will be treated at least as confidential information. The confidentiality clause requires advance notice before any disclosure compelled by law, so the customer can seek a protective order. The annual SOC 2 Type 2 examination of Lexis and Lexis+ covers confidentiality and privacy as well as security. Legal professional privilege and attorney work product are not addressed by name, and no separation by matter is described. Document upload is a main feature, so client material enters the system by design.
Thomson Reuters' Legal AI Terms of 23 January 2026 govern AI features in its legal products. They bar Thomson Reuters and its third party providers from developing, training or fine tuning any generative or foundation model with user prompts, user content or outputs unless agreed separately in writing. The same terms let Thomson Reuters use prompts and outputs to evaluate safety and effectiveness, with automated safeguards meant to keep sensitive and identifying information out of the samples reviewed. The General Terms let a party disclose the other's confidential information under law, subpoena or court order only with prior notice where legally permitted. The Data Security Addendum keeps each customer's data logically segregated from other customers' data. Attorney client privilege and work product are not addressed by name, and nothing describes separation by matter within a firm.
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.
Lexis+ with Protégé is governed by the LexisNexis General Terms, effective 5 June 2026, which say the online services are not legal, accounting, financial or other professional advice or a substitute for an attorney. The AI services clause adds that AI is not a substitute for independent professional advice and that users must verify what it provides. Nothing addresses a lawyer's own professional duties when relying on the output, and no jurisdiction or ethics guidance is named.
The General Terms say a licensed professional or similar expert must review AI output before anyone relies on it, uses it or passes it on. The customer alone is responsible for verifying its accuracy, and Thomson Reuters is not liable for decisions based on it. The Deep Research help article says its output should never be used to advise a client or write a brief or motion without further research. It presents the tool as a way to speed research rather than replace it. Westlaw is sold to law firms, legal departments, courts, government agencies and law schools, and the online plans are for law firms. Nothing addresses a lawyer's competence duties or names a jurisdiction's ethics rules.
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.
The RELX Responsible AI Principles are named: transparency, fairness, human oversight and respect for privacy. LexisNexis says on a trust page that the product is built with them, that human experts review AI models for legal accuracy and ethical performance, and that continuous review and monitoring keep products accountable. No model card, bias or fairness testing method or result, evaluation output, accuracy monitoring figure, named governance body or review schedule is published, and there is no ISO 42001. The only published accuracy measurement comes from outside researchers.
Westlaw Edge, Precision and Advantage sit inside Thomson Reuters' ISO/IEC 42001:2023 certificate for its AI management system, issued by MSECB, held since March 2025 and valid to March 2028, and the certificate is published on the trust center. The Data and AI Governance and Security Program whitepaper of March 2025 makes the Responsible AI and Data Trust team responsible for AI governance and sends sensitive data uses to a Model Ethics Committee. Every business model must be registered in a central compliance hub and go through a data impact assessment that sets ethics controls such as human oversight and fairness, a model risk assessment, documented design and testing, monitoring and decommissioning. Attorney editors test and validate Westlaw's AI. No test results, bias findings or differences in performance across practice areas or jurisdictions are published.
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.
LexisNexis publishes encryption, data minimization, pseudonymization, privacy built in at every stage of product development, secure cloud infrastructure, a set of information security policies, and incident response plans. Those plans are updated and tested periodically, with technical, administrative, business and executive escalation paths and outside firms on retainer. Retention follows where a document goes. Uploads of up to 10 documents outside a Vault are purged at the end of each session. A user can keep up to 50 encrypted Vaults of as many as 500 documents each until deleting them, and results from Vault work stay in the My Conversations history for 90 days. LexisNexis removes identifiable information from AI interactions and says data one user shares does not shape performance for other users. No retention period is stated for other prompts and research questions, no tenant separation is described, and no subprocessor list is available outside the trust center's registration step.
The Data Security Addendum, last modified 26 October 2026, encrypts customer data with 256 bit AES in transit and at rest. It limits access to authorized personnel with multifactor authentication, keeps each customer's data logically segregated, and commits to notice of a security breach within 72 hours. It offers a summary of penetration test results on written request and destroys customer data at the end of the service on request. The General Terms delete production data within 90 days after termination on written request, and the Data Processing Addendum dated 15 October 2026 deletes personal data on request. Thomson Reuters names the outside AI providers behind its generative features as Amazon Web Services, Anthropic, Google, Microsoft and OpenAI. No retention period is stated for prompts, uploaded documents or research history during a subscription, and the Westlaw data retention overview for Litigation Document Analyzer sits behind a Whistic account.
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 LexisNexis General Terms and Conditions, effective 5 June 2026, govern its online services. LexisNexis defends and indemnifies the subscriber against third party patent, copyright, trademark and trade secret claims arising from use of the service, and that indemnity sits outside a twelve month liability cap. The AI Services clause says AI systems may not be accurate or error free, that users must verify information, and that AI is not a substitute for independent professional advice. No term covers a wrong answer or citation, though the product was earlier marketed on results free of hallucination.
Thomson Reuters' General Terms for the United States (version 6.0, 1 September 2026) cap each party's liability in a calendar year at the fees paid for the affected service over the prior twelve months. That cap doubles for breaches of confidentiality, data protection or security, and indirect and consequential loss is excluded. Thomson Reuters defends and indemnifies the customer against third party claims that use of the service infringes intellectual property, and that indemnity sits outside the cap. The service warranty promises conformity with the documentation, with repair, modification or replacement as the remedy. For AI output, the terms disclaim liability for its accuracy, legality or reliability and for decisions based on it.
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.
The Lexis+ with Protégé product page says the product connects to iManage, SharePoint, NetDocuments and other document management systems so users can ask and draft from their organization's documents, alongside secure Vaults for uploaded files and shared Workrooms. Nothing describes what each connection syncs, in which direction, or what a firm must configure, and no API or developer documentation is published.
Westlaw's product and plan pages name no document management, practice management or Microsoft Word integration. The AI tools work on what a lawyer types or uploads: Litigation Document Analyzer, Complaint Analyzer and Quick Check take an uploaded brief or complaint. Deep Research also runs inside CoCounsel Legal, the separate Thomson Reuters assistant, which connects to iManage, NetDocuments and SharePoint. Thomson Reuters lists terms for a document management system integration among its legal products without saying what it moves or how a firm sets it up.
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.
LexisNexis material refers to secure cloud infrastructure on enterprise platforms, naming no provider, region or residency commitment, and to strong encryption. No single tenant or dedicated option is described, and nothing says where customer queries or uploaded documents are processed and stored. The product is sold in the US, UK, Canada, Ireland and Australia under different data protection laws. The Canadian trust material raises PIPEDA and Quebec Law 25 as customer duties without stating LexisNexis's own residency position. The SafeBase trust center gives registered users further material.
Westlaw is a hosted service, and the Data Security Addendum keeps each customer's production data logically segregated from other customers' data. The Department of Health and Human Services has granted Westlaw an Authority to Operate, and Thomson Reuters says Westlaw is in the final stage of FedRAMP authorization. Separate security summaries cover the American, UK, Canadian, Australian and New Zealand editions. No hosting provider, region or residency commitment is published for the American service, and nothing separates where AI processing runs from where data is stored.
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.
The trust center at trust.lexisnexis.com runs on SafeBase, with self serve registration through which authorized users reach compliance reports, a request flow that does not run through sales. Its May 2026 update announced SOC 2 Type 2, SOC 3 and HIPAA/HITECH reports for Lexis, Lexis+ with Protégé and CaseMap+, the SOC 2 Type 2 focused on security, availability and confidentiality and offered for secure download, and the SOC 3 open to read. An earlier LexisNexis description puts the annual SOC 2 Type 2 examination of Lexis and Lexis+ against all five Trust Services Principles. A SOC 1 Type 2 report for digital content management and IT services was updated in January 2026. The compliance list adds ISO/IEC 27001, ISO 22301, IRAP, NIST CSF, HIPAA and UK Cyber Essentials, certified on 26 October 2026 by Securious for LexisNexis UK's office and production AWS networks. The auditing firm for the SOC reports is not named. A March 2026 notice on the trust center reports that an unauthorized party reached a limited number of servers holding mostly legacy data from before 2020, such as customer names, user IDs, business contacts, survey responses and support tickets, and no client or matter information; LexisNexis engaged a forensic firm, reported the matter to law enforcement and informed affected customers.
The Westlaw security profile on Whistic, linked from the Thomson Reuters trust center, lists a Westlaw SOC 2 Type 2 report dated October 2025 and a bridge letter of November 2026, alongside a SIG Lite questionnaire, security summaries by country and an AI security FAQ. Downloading them needs a Whistic account under a Thomson Reuters confidentiality agreement, and the profile does not say the release is immediate. The ISO/IEC 42001:2023 certificate, which names Westlaw Edge, Precision and Advantage, is published openly. The Department of Health and Human Services has granted Westlaw an Authority to Operate, and FedRAMP authorization is in its final stage. The Data Security Addendum lets a customer review an executive summary of ISO 27001 or SOC 2 results on request. The SOC auditor and the report's scope are not stated publicly.
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.
Protégé runs in two configurations. Protégé Legal AI blends several large language models from leading providers, which are not named, and grounds every response in LexisNexis sources with Shepard's citations. Protégé General AI gives access to models from OpenAI, Google and Anthropic, each with its own reasoning strengths and writing style, and LexisNexis says new configurations are assessed and added as they come. The retrieval platform is proprietary. Which models make up the legal configuration, which versions are offered, where the models run and which of them process customer uploads are not stated, and no notice of model changes is offered. No subprocessor list is published outside the trust center's registration step.
Thomson Reuters names the outside AI providers whose terms apply to its generative AI products: Amazon Web Services, Anthropic, Google, Microsoft and OpenAI. Deep Research is described as custom trained AI combined with Westlaw's research tools. Nothing maps a provider or model to AI-Assisted Research, Deep Research or the litigation tools, says where inference runs, or commits to notice before the providers change. Thomson Reuters announced its own legal model, Thomson, in August 2026 for CoCounsel Legal's tabular analysis, and nothing says it runs in Westlaw.
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.
No price, range, tier or unit of charge is published for Lexis+ with Protégé, and nothing says whether it is licensed separately or bundled into a Lexis+ subscription. LexisNexis prices each organization by its size, the capabilities it needs and the content it licenses, and quotes on request through a form or by phone. A 2 day free trial is offered. Third party listings report about $128 to $494 per user per month, and LexisNexis has not confirmed them.
Thomson Reuters prices Westlaw online for new customers at law firms of up to 10 attorneys, by number of attorneys, jurisdiction and term. Westlaw Edge with AI-Assisted Research starts at $155.35 a month for single circuit coverage and $266.50 for all states and federal coverage, both on a three year term. Westlaw Advantage starts at $256.75 a month for single circuit coverage and $399.75 for all states and federal. Two year terms take 12 percent off and three year terms 18 percent, and plans include new features released during the initial term. Westlaw Edge without AI is sold online with no starting price stated. Firms with more than 10 attorneys and existing customers are quoted by sales, and documents outside a plan are charged at rates in Westlaw's subscriber pricing guide.
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.
Grounding content is named as case law reviewed by Shepard's editors, statutes and Practical Guidance, described as the largest repository of legal content. The product is available in the US and in other LexisNexis markets, including the UK, Canada, Ireland and Australia. No jurisdiction or court list, date range, update lag or refresh frequency is listed, and nothing says which countries the AI features are available in, as distinct from where the platform is sold.
Westlaw serves law firms of every size, corporate legal departments, courts, prosecutors, public defenders, city attorneys, law enforcement, other government agencies and law schools. Thomson Reuters publishes practice area pages for business and commercial law, civil litigation, criminal defense, family law, labor and employment, mergers and acquisitions and personal injury. Content covers state and federal case law, statutes, regulations, court rules, administrative materials, dockets, briefs and secondary sources such as Wright & Miller and Corpus Juris Secundum. The plans set the limits. Westlaw Edge carries no generative AI, AI-Assisted Research and AI Jurisdictional Surveys come with Edge with AI-Assisted Research, and Deep Research, Litigation Document Analyzer, Complaint Analyzer and Claims Explorer come only with Advantage. A single circuit plan covers state and federal primary law for one circuit. Online buying stops at 10 attorneys, and separate editions serve the UK, Canada, Australia and New Zealand.
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?
The LexisNexis General Terms and Conditions (effective 5 June 2026), the provider terms for LexisNexis online services, warrant that subscriber inputs, including prompts, and subscriber files submitted to the AI services will not be used to train any large language model and will be treated at least as confidential information, whether or not an AI feature also draws on web-sourced content. The annual SOC 2 Type 2 examination of Lexis and Lexis+ covers confidentiality and privacy criteria.
Thomson Reuters' Legal AI Terms (version 1.0, 23 January 2026) apply to AI features across its legal products and form part of the customer agreement. They say Thomson Reuters will not, and will not let its third party providers, develop, train or fine tune any generative or foundation model with user prompts, user content or outputs unless agreed separately in writing. The same terms let Thomson Reuters use prompts and outputs to evaluate safety and effectiveness, with automated safeguards meant to keep sensitive and identifying information out of the samples.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Uploads of up to 10 documents outside a Vault are purged at the end of each session, and Vaults stay until the user deletes them. Results from Vault work are kept for 90 days in the My Conversations history. No period is given for other prompts, generated answers or past conversations, nothing says the customer can set retention or turn it to zero, and data minimization is named as a principle.
No retention period is published for questions, uploaded briefs or Deep Research reports while a subscription runs. The General Terms delete customer data in the production environment within 90 days after termination on written request, with backups deleted in the normal course of business, and the Data Processing Addendum deletes personal data on request. The Legal AI Terms let Thomson Reuters use prompts and outputs for evaluation without saying how long they are kept. A Westlaw data retention and privacy overview for Litigation Document Analyzer sits behind a Whistic account.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
No permission model, matter level restriction or tenant segregation is described, and no document management system integration is named that would let retrieval inherit a firm's own permissions at query time. The product accepts uploaded documents and is sold into large firms where walls are a routine requirement.
The Data Security Addendum commits Thomson Reuters to keep each customer's production data logically segregated from other customers' data, with access limited by role. Nothing describes how that separation is enforced, and nothing addresses walls between matters or users inside a firm, although Litigation Document Analyzer, Complaint Analyzer and Quick Check take uploaded briefs and complaints.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The confidentiality clause of the LexisNexis General Terms, effective 5 June 2026, which govern Lexis+ with Protégé, allows disclosure required by law, regulation or court order only with advance notice to the other party so that it can seek a protective order, and the terms apply that confidentiality standard to prompts and files submitted to the AI services. No transparency report is published.
The General Terms let a party disclose the other's confidential information when law, regulation, subpoena or court order requires it, and only after prior notice and reasonable help to contest or limit the disclosure, where legally permitted. The Data Processing Addendum refers regulator requests about customer personal data to the customer, and the Data Security Addendum says Thomson Reuters will try to notify the customer promptly of government or regulatory correspondence about the security of customer data. No transparency report is published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The grounding content is case law reviewed by Shepard's editors, statutes and Practical Guidance, so the case law carries an editorial review rather than appearing as raw text. No license or public domain basis is stated for any content type, and no jurisdiction or court list, date range, or update lag for the content or the citator is given. LexisNexis calls it the largest repository of accurate and exclusive legal content, which implies proprietary licensing without stating terms.
Answers draw on Westlaw's own content. That covers state and federal case law with attorney editor headnotes and the Key Number System, annotated statutes and regulations including an annotated Code of Federal Regulations, court rules, administrative materials, dockets, briefs and pleadings. Secondary sources include Wright & Miller and Corpus Juris Secundum, and Deep Research also uses Practical Law and current awareness.
Thomson Reuters says hundreds of full time attorney editors update the content continuously. The rights basis is ownership, and no license statement or update lag is published.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Lexis+ with Protégé checks its citations against Shepard's Citations, an established commercial citator that LexisNexis owns. The product is stated to check every citation in a generated answer against Shepard's, so treatment checking happens automatically rather than as a separate step the user must remember. A user can also submit a specific citation and be told when it may be wrong. Automatic Shepard's checking did not prevent an independently measured hallucination rate above 17 percent.
Citator checking shows whether an authority exists and how it has been treated, not whether the point drawn from it is correct.
KeyCite, Thomson Reuters' own citator, supplies treatment flags for cases, statutes, regulations and administrative decisions, including Overruling Risk for points that rely on an overruled decision and Overruled in Part flags for partly overruled cases. AI Jurisdictional Surveys show KeyCite status beside each source, Deep Research's Verify tab lists cited and further relevant law, and Litigation Document Analyzer checks a whole brief for inaccurate citations and misstatements of law. A citator shows how later courts treated an authority, not whether the point drawn from it is right.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No statement describes a path for declining, an abstention behavior, a confidence score, or what the system does when its content does not support an answer. The Stanford RegLab and HAI study found incomplete answers, meaning refusals or ungrounded responses, on 18 percent of 202 queries, so some abstention exists that LexisNexis does not describe. The product is marketed as free of hallucination.
Thomson Reuters says Deep Research can occasionally produce inaccuracies and should be one step in a research process, and the tool shows its research notes as it works. No path for declining to answer, abstention behavior or confidence signal is described for AI-Assisted Research or Deep Research. The Stanford RegLab and HAI study of May 2024 recorded incomplete answers, meaning refusals or ungrounded responses, on about a quarter of the legal questions it put to AI-Assisted Research.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Five decisions in the AI Hallucination Cases database kept by Damien Charlotin name Lexis+ with Protégé, under its former name Lexis+ AI, or Protégé, the assistant LexisNexis sells inside it, as the tool behind fabricated or misdescribed citations in lawyers' filings, and each outcome falls on the lawyer. In Lifetime Well LLC v. IBSpot.com Inc. (E.D. Pennsylvania, 26 January 2026), a motion cited eight defective authorities, including nonexistent cases and a quotation absent from the cited opinion; the court imposed a monetary sanction, ordered the opinion shared with a professional association, and framed the failure as a lack of diligence and supervision.
In Flowz Digital v. Caroline Dalal (C.D. California, 5 May 2025), counsel named Lexis+ AI, as the product was then called, in responding to an order to show cause over misdescribed and unlocatable case citations, and the court imposed a monetary sanction and a bar referral. Tekoma Chaney v. Transdev Services (C.D. California, 28 April 2026) ended in a monetary sanction and reporting to other courts, Cartagena v. Dixon (S.D.
New York, 10 March 2026) in a bar referral, and Thompson v. County of San Diego (California Court of Appeal, 14 July 2026) with counsel withdrawing the quotations and citations. The Stanford RegLab and HAI study is an academic evaluation, not a court record.
The AI Hallucination Cases database kept by Damien Charlotin lists eleven decisions in which the tools a filer named include Westlaw or one of its features, and each outcome falls on the filer. Thomson Reuters investigated most of them and says the errors did not come from Westlaw. In In re Rosslyn2016 (S.D. Texas Bankruptcy, 14 July 2026), counsel who named Westlaw Precision faced a $29,877 award, civil contempt and a CLE order.
In Lacey v. State Farm (C.D. California, 6 May 2025), filings prepared with CoCounsel, Westlaw Precision and Google Gemini led to $31,100 in sanctions against two firms. In Pelishek v. City of Sheboygan (E.D. Wisconsin, 18 September 2025), counsel named Westlaw's Quick Check and an AI tool for finding cases and was sanctioned $4,500. In Mercante v. Tarzia (E.D. New York, 2 October 2026), defense counsel said a Westlaw AI tool found cases that were copied without verification.
The court found a Rule 11 violation and imposed no sanction, and on reconsideration found that the case it had called fictitious does exist. Imperial Reliance v. HZ Properties (N.D. Texas, 18 August 2026) names Westlaw's generative AI, and the database records no vendor response there or in Mercante.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No named ethics opinion, ABA Formal Opinion 512 or state bar guidance appears on the product pages, the launch and press material, the UK trust explainer or the trust center material. LexisNexis also publishes a very large body of practitioner content, including professional responsibility material.
Professional responsibility is addressed in general terms. A licensed professional or similar expert must review AI output before anyone relies on it, and Deep Research is not to be used to advise a client or write a filing without further research. No named ethics opinion, such as ABA Formal Opinion 512, and no state bar guidance is mapped to the product.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Nothing published addresses billing for AI assisted time, and no exportable record is described that a firm could use to show a client what portion of work was machine generated. The product's own commercial terms are not published either, so neither side of the fee question has a public answer.
Thomson Reuters markets time savings, describing Deep Research as delivering insight in a fraction of the time traditional research takes, and its Justly Prudent case study reports five times return on investment from CoCounsel and Westlaw AI. Law firms bill clients for research time, and nothing addresses how AI assisted research should be billed or disclosed to a client, or offers a record of AI assisted work for that purpose.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The trust center at trust.lexisnexis.com runs on SafeBase and invites users to register for compliance reports, including the SOC 1 Type 2 report, without a sales call. The annual SOC 2 Type 2 examination of Lexis and Lexis+ is described with its full five principle scope. No downloadable summary, published subprocessor list, named model provider or DPA is available outside the registration step.
Thomson Reuters publishes the outside AI providers whose terms apply to its generative AI products, Amazon Web Services, Anthropic, Google, Microsoft and OpenAI, and its Data Processing Addendum and Data Security Addendum are public. The AI data disclosure for Westlaw in the United States, the SOC 2 report and the SIG Lite questionnaire sit behind a Whistic account. No subprocessor list specific to Westlaw and no disclosure pack a firm could pass to its own client are published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Citations are linked in every answer and checked against Shepard's, and a user can submit a citation to be checked, so the authorities relied on can be identified and their treatment checked. Nothing records which model produced an answer, no record of human verification is captured, and no export of any kind is described.
Deep Research shows step by step research notes and returns a report that quotes and links each primary authority, and KeyCite flags show each authority's status, so a lawyer can identify and confirm the sources behind an answer. Nothing records which model produced a result or what a lawyer verified, and no export combining sources, model and human review is 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.
- Refusal and Uncertainty Behavior
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Lexis+ with Protégé
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Integration / interoperability
Lexis+ with Protégé can now pull Lex Machina litigation analytics, Intelligize disclosure data, CourtLink dockets and Law360 reporting into a single prompt, alongside LexisNexis content and firm documents from connected document systems.
Source
In summary
Lexis+ with Protégé
Lexis+ with Protégé is LexisNexis's generative AI product for legal research, analysis and drafting, built on the Lexis+ platform around Protégé, the assistant LexisNexis embeds across its products. It offers conversational search, drafting, summarization and document upload, Vaults for a firm's files, shared Workrooms, and connections to iManage, SharePoint and NetDocuments. Answers draw on case law reviewed by Shepard's editors, statutes and Practical Guidance, and Shepard's Verify flags unsupported statements in responses and drafts. According to the AI Legal Index, the LexisNexis General Terms of 5 June 2026 warrant that prompts and files will not train any large language model. LexisNexis quotes each customer by organization size and offers a 2 day free trial.
Westlaw
Westlaw is Thomson Reuters' legal research service, sold in three versions on the same content: Westlaw Edge, Westlaw Edge with AI-Assisted Research and Westlaw Advantage. AI-Assisted Research answers plain language questions with links to Westlaw authority. Advantage adds Deep Research, which plans and runs multistep research and returns a report quoting and linking primary law, along with Litigation Document Analyzer, Complaint Analyzer and Claims Explorer. KeyCite supplies treatment flags throughout. According to the AI Legal Index, Thomson Reuters' Legal AI Terms of 23 January 2026 bar training any generative or foundation model on prompts, content or outputs. Online plans for firms of up to 10 attorneys start at $155.35 a month, and Advantage at $256.75.
Questions buyers ask
Westlaw vs Lexis+ with Protégé, formerly Lexis+ AI: which is better for legal research?
They are close, and the content a firm already uses usually decides. Westlaw brings KeyCite, the Key Number System and, in Advantage, Deep Research plus litigation tools that check briefs and map claims. Lexis+ with Protégé brings Shepard's and Shepard's Verify, Practical Guidance, Vaults for a firm's files and connections to iManage, SharePoint and NetDocuments. From the AI Legal Index, based on each vendor's own published materials as of November 9, 2026. No vendor pays for placement.
How much do Westlaw and Lexis+ with Protégé cost?
Westlaw is priced online for law firms of up to 10 attorneys. Westlaw Edge with AI-Assisted Research starts at $155.35 a month for one circuit on a three year term, and Westlaw Advantage at $256.75 a month for one circuit. LexisNexis publishes no price for Lexis+ with Protégé. It quotes by organization size and offers a 2 day free trial. From the AI Legal Index, based on each vendor's own published materials as of November 9, 2026. No vendor pays for placement.
Do Westlaw and Lexis+ with Protégé train AI on client data?
Neither does, under its terms. Thomson Reuters' Legal AI Terms bar it and its providers from training any generative or foundation model on prompts, content or outputs unless agreed in writing. The LexisNexis General Terms warrant that prompts and files will not train any large language model and treat them as confidential. From the AI Legal Index, based on each vendor's own published materials as of November 9, 2026. No vendor pays for placement.
How do KeyCite and Shepard's work in the AI tools?
Each AI tool uses its owner's citator. Westlaw shows KeyCite status beside sources in AI Jurisdictional Surveys and lists cited and further relevant law in Deep Research's Verify tab. Lexis+ with Protégé checks the citations in an answer against Shepard's, and Shepard's Verify flags unsupported statements in drafts. A citator shows how later courts treated an authority, not whether the point drawn from it is right. From the AI Legal Index, based on each vendor's own published materials as of November 9, 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.
Two points to weigh. Thomson Reuters' online prices cover only new customers at firms of up to 10 attorneys, so larger firms and current subscribers negotiate, and LexisNexis quotes every customer. A Stanford study run in May 2024 measured both vendors' earlier AI research tools, finding Westlaw's AI-Assisted Research accurate on 42 percent of its questions and Lexis+ AI on 65 percent. Both vendors disputed the figures, and Deep Research and the renamed Lexis product came later. Thomson Reuters owns Westlaw, and LexisNexis, part of RELX, owns Lexis+ with Protégé. Neither vendor reviewed this page.