Bloomberg Law vs Westlaw: how they compare in 2026
Bloomberg Law and Westlaw are both full research platforms with a generative layer added on top of a corpus that long predates it, and they differ most in how the AI works and how each is sold. Westlaw's Advantage tier adds Deep Research, an agentic mode that plans multistep research, shows its research notes and returns a report linking each authority, along with Litigation Document Analyzer, Complaint Analyzer and Claims Explorer. KeyCite flags sit beside sources throughout. Bloomberg Law sets out its AI architecture instead: retrieval augmented generation with a guardrail service, assistants that decline to answer when no content covers a topic or a query falls outside legal scope, and language models trained on its own content. Its citator, BCITE, uses machine learning to signal whether a holding is still good law. The pricing models differ too. Bloomberg Law sells one platform at one flat, all inclusive price with no figure published, while Thomson Reuters prices Westlaw online for firms of up to 10 attorneys, from $155.35 a month.
Which one fits
Choose Bloomberg Law if
- You want to know what the assistant does when it has nothing. Bloomberg Law's Answers and AI Assistant decline to answer where no content covers a topic or a query falls outside legal scope, and Bloomberg Law says plainly that AI responses carry a hallucination risk and need checking against primary sources.
- You want one flat price for the whole platform. Bloomberg Law sells one platform at one all inclusive price rather than metering searches or documents, so occasional use of a tool carries no extra charge.
- Your security review wants a catalog to work through. Bloomberg Law's trust center lists a penetration test report, a security whitepaper, SOC 1 and SOC 2 reports, a SIG Lite self assessment, a business continuity document and an AI FAQ.
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.
- You litigate and want briefs checked. Litigation Document Analyzer reviews an uploaded brief for inaccurate citations and misstatements of law and suggests counterarguments, and Claims Explorer lists claims, counterclaims and defenses from the facts of a matter.
- You want a published price. Thomson Reuters lists starting prices for firms of up to 10 attorneys, from $155.35 a month for Westlaw Edge with AI-Assisted Research and $256.75 for Westlaw Advantage, with discounts for 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.
The vendor's approach page lists differentiated content as one of four pillars and says the AI does not generate answers on its own but searches a large collection of vetted information. Without the models, 15.5 million court opinions, 200 million dockets, 5 million statutes and regulations, 8,200 practical guidance documents and a newsroom remain, which is what Bloomberg has sold since 2009. Some tools would not survive: BCITE, Docket Key, Points of Law and Litigation Analytics are built with machine learning and do not exist without it. The subscription is flat and all inclusive, and buyers do not buy or meter the AI separately.
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 vendor names retrieval augmented generation with a proprietary guardrail service, says output is grounded in its own expert or primary content rather than the internet, and says Bloomberg Law Answers cites and links the authorities behind each answer, with one click verification. BCITE, the platform's own citator, reports whether a holding is still good law. The system abstains when no content covers a topic or a question is outside legal scope. No result, test set, sample size or error rate from the described benchmarking by former attorneys is published, although the same page commits to giving customers clear documentation of that benchmarking and validation. The vendor says plainly that AI answers are never fully trustworthy and carry a hallucination risk, and tells customers to check them against primary sources.
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 vendor says it wants its AI to make the job easier, not do it for the user, and describes building one task at a time rather than producing finished work product. Answers carry inline citations with one click verification, abstention is documented with two named triggers, all generative tools are beta tested before release, and customers are told to check answers against primary sources and use their own judgment. Nothing on the approach to AI page, the AI product page or in either agreement describes what happens after an answer proves wrong; no correction or error reporting route is documented, and no confidence threshold or setting is offered. Deep Thinking, which the vendor says automatically plans and runs multistep research before synthesizing results, has no described checkpoint between request and finished answer.
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 pricing page has three quotes. One names an organization and an outcome: a corporate counsel at Synovos, Inc. says the platform let the team pull state summaries of laws and regulations without calling outside counsel, cutting tens of calls on minor issues and lowering annual legal fees, though with no figure, timeframe or date. The other two are attributed only by role and segment, a small law practice area leader and a large law partner, and both concern the flat pricing rather than outcomes. The home, AI product, approach to AI and pricing pages and the navigation carry no case study with a method, customer count, named law firm or quantified result.
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 privacy policy says collected information includes user content, usage, browsing and search history, reading habits and inferences used to profile a user's preferences and behavior. It describes advertising over that material: lookalike or matched audiences on social platforms, sharing a hashed email with ad companies, and sharing for cross context behavioral advertising under California and Virginia law, with opt outs. The policy covers the marketing site and the products together and does not say whether in product search history is excluded. The subscription terms say the site is not meant to hold personal or health information, give no warranty on how it would be held, and reserve a right to audit and monitor use. The documents do commit to notice of subpoenas, Standard Contractual Clauses, an intragroup data protection agreement, and data centers used only for the vendor's operations. No statement on training with customer input, retention period, separation between users or matters, or treatment of privilege or work product is published.
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.
Both the website terms and the subscription terms say in capitals that none of the services is legal advice, opinion or recommendation, that users needing legal help should consult a competent professional, that users take full responsibility for decisions and conclusions reached through the services, and that no attorney client relationship forms with the vendor or any content supplier. Eligible users are defined: eighteen or older, members of a professional, business or academic community doing professional research, working in a court, government agency, corporation or similar body, or law or business students, with bots excluded. The public approach to AI page addresses competence and supervision, telling customers to check answers against primary sources and use their own judgment, and saying the AI makes the job easier rather than doing it. No bar or ethics guidance is named, including ABA Formal Opinion 512, and no jurisdictional limit on answers is stated.
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 approach to AI page, last modified 18 June 2026, sets out four pillars and gives the accuracy pillar substance: retrieval augmented generation plus a proprietary guardrail service, output grounded in vetted first party or primary material rather than the open internet, beta testing of every generative tool before release, and accuracy evaluation by former attorneys from development through internal, beta and customer testing and over the product's life, with continuous tuning against model drift. It commits to documenting where and when products use generative AI, the sources used, and the benchmarking and validation process. No accountable owner is named, and no test result is published against that benchmarking commitment. Nothing addresses bias or uneven output across matter types, jurisdictions or populations, and the platform profiles named judges, attorneys and firms. Its trust center lists a document titled AI Frequently Asked Questions.
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.
The privacy policy, updated 9 July 2026, says personal information is held on secure servers under administrative, technical, personnel and physical measures, and sets retention by criteria rather than a number: the time needed for the purpose, whether the user has stopped using the products, any legal proceedings, and legal or regulatory requirements. It describes a personal data governance program, a data map of flows within the vendor's systems and to third parties, ongoing testing of safeguards, company wide privacy training, and data centers used only for the vendor's own products and operations with monitored access. Standard Contractual Clauses and an intragroup data protection agreement cover transfers, with further processing terms available where the vendor acts as processor. The trust center adds data erasure, backups, access monitoring, least privilege and logging, and a full responsible disclosure policy. No retention period, named subprocessor or breach notification commitment is published.
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 subscription terms, updated November 2025, cap total liability at 500 dollars whatever the form of action, disclaim all warranties including merchantability, fitness for purpose and noninfringement, provide the services as is and as available, and do not guarantee accuracy, correctness, completeness or timeliness. One exclusion covers research itself: no liability for any inability or failure to perform legal or other research, or to do it properly or completely, even with the vendor's help. Users are solely responsible for the accuracy and adequacy of data used and the output, and any action must be brought within one year. Virginia law governs, with exclusive jurisdiction in Arlington County. The only exception to the cap is death or personal injury from negligence where the law forbids limiting it. Nothing runs to the customer: no indemnity, output warranty or AI specific term. Its trust center lists a certificate of liability.
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.
Two integrations are described. The vendor's newsroom describes Bloomberg Law Contract Solutions as integrating with Microsoft Word alongside a central contract repository, and the subscription terms cover users reaching Bloomberg Law through the Bloomberg Professional service, the Terminal, whose own agreement then applies. The navigation, the AI product page, the approach to AI page and the footer show no integrations page, developer or API documentation, or named connection to document management, matter management, ebilling or court filing. Dashboard Legal is a project management and collaboration product, not a bridge into a firm's systems.
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.
The privacy policy's intragroup data protection statement says the vendor's data centers serve only its own products, services and operations, with secure, monitored access. Transfers are acknowledged: personal information may be processed in various countries with differing protection, including the United States, under Standard Contractual Clauses and an intragroup agreement naming exporters and importers. Nothing published offers a region or residency choice, describes the platform's tenancy, separates processing from storage, or says where generative features run. Its trust center lists a data center item. These statements sit in a personal data annex, not in product or security 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.
Every page footer links to the trust center under Trust and Security, with a product identifier in the address. It is a SafeBase portal reachable without a sales call, listing a penetration test report, security whitepaper, SOC 1 and SOC 2, a SIG Lite self assessment, a certificate of liability, a business continuity management document and an AI FAQ, along with control areas for product, access, application and network security, business continuity and training, and a full responsible disclosure policy. SOC 1 and SOC 2 are named without a Type, and no auditor, coverage period, report date or scope is published. Documents are split into public and private, with an access request whose terms are not stated.
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.
The vendor publishes retrieval augmented generation as the framework, a proprietary guardrail service over it, generation grounded in its own expert and primary content rather than the internet, and large language models trained on that content. It also cites machine learning, natural language processing, information retrieval, recommendation systems and large language models, and says Bloomberg Industry Group employs hundreds of AI researchers and engineers who publish research each year. Nothing published says whether a third party foundation model sits underneath: the phrase used is our large language models, without saying they are built in house. No model name, version, inference location or subprocessor is given, and there is no commitment to notify customers of model or training changes. Its trust center lists a subprocessors item and an AI FAQ.
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.
The charging model is stated: one platform, one flat all inclusive price, with unlimited access rather than per search or per document charges. A customer quote on its pricing page says occasional use of a tool costs nothing extra, and the request form names two products, Bloomberg Law Research and Bloomberg Law Dashboard Legal. The pricing page, getting started entry, AI product page and navigation give no figure, unit of charge, tier names, feature splits, term length or implementation charge. Every route to a number is a form, and the Request Pricing page is a lead capture form. Its firm size ranges, from solo to fifty or more practitioners, suggest price varies with headcount, but they are form fields, not a published price structure.
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.
Four buyer groups have solution pages: law firms, in house counsel, government and law schools, and the government page promises unlimited access to state and federal coverage. The vendor's forms list law firms, tax and accounting firms, corporations, nonprofits and associations, consulting firms, education institutions and government, with firm size ranges from solo to fifty or more practitioners. Content is quantified precisely: more than 15.5 million court opinions growing by about 50,000 a month, about 200 million dockets with more than 21 million pleadings, more than 5 million statutes and regulations, 75 million EDGAR filings and more than 8,200 practical guidance documents, with Docket Key covering over 200 motion and brief types across all federal district courts and Chart Builders comparing rules state by state. Nothing says where coverage stops: no supported practice area list, no coverage table by jurisdiction, no statement of state court depth, and no acknowledged gap.
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?
No published term or policy states whether customer input is used to train or refine any model. The privacy policy lists improving, upgrading or enhancing the products and developing new ones among its purposes for collected information, which covers the ground without naming training. The approach to AI page says the vendor's large language models train on its own specialized content, meaning its court opinions, guidance and news, and says nothing about customer material.
The subscription terms prohibit a customer from using product content in prompts or for training, tuning or incorporating into any language model without the vendor's written consent, and define language model broadly enough to catch any generative system. The prohibition runs one way.
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?
The privacy policy states that personal information is kept for as long as necessary for the described purposes and legitimate business reasons, and names four factors used to set the window: the time needed to achieve the collection purpose, whether the user has stopped using the products, the existence of relevant legal proceedings, and legal or regulatory requirements. Search history and user content are expressly within the categories collected, so questions put to the AI features fall inside this framework, but no period attaches to them and no customer configurable or zero retention setting is offered.
The subscription terms point the other way on uploads, stating the vendor has no obligation to retain or store user generated content.
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?
The privacy policy says personal information may be disclosed to whoever authorized the user's access, such as an employer or school, so a subscribing firm can receive information about what its own users did. The subscription terms treat each registration as single user and require credentials to be kept confidential, which is account security rather than a permission model. Nothing in the privacy policy, either agreement, the trust center landing page or the AI product and approach to AI pages addresses separation between customer organizations, access within a firm, or matters.
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 privacy policy covers disclosure to unaffiliated third parties under a subpoena, court order or other legal process, and says the vendor will use reasonable efforts to give the user prompt written notice so the user can comment, object and protect the information's confidentiality, and will cooperate at the user's expense. Three qualifications apply: it is reasonable efforts rather than an unconditional promise; cooperation is at the user's cost; and the subscription terms separately reserve the right to use and disclose user information in any legal process or as law requires, with no notice, which nothing reconciles. 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?
Bloomberg Law publishes counts: more than 15.5 million court opinions growing by about 50,000 a month, about 200 million dockets with more than 21 million pleadings, more than 5 million statutes and regulations, 75 million EDGAR filings and more than 8,200 practitioner guidance documents, covering primary law and the vendor's own editorial layer, with an update rate for opinions. No upstream supplier is named. The privacy policy mentions third party data suppliers only as a category and notes that databases available to registered users contain public records, publicly available information and nonpublic information from those suppliers.
The subscription terms mention third party content providers without naming any. No license, public domain basis or rights statement is published.
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?
BCITE is described as Bloomberg Law's court opinion citator, using machine learning and natural language processing to show quickly whether an opinion's holding is still good law. It is the vendor's own citator with a stated method, not a licensed one or a prompt to check elsewhere. Not disclosed: coverage of courts or dates, an accuracy or error rate, how treatment is decided beyond the techniques named, and whether generative features show BCITE status beside the authorities they cite.
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?
The vendor says Bloomberg Law Answers and AI Assistant will not answer when no content covers the topic or the question is outside legal scope. It also says plainly that AI answers are never fully trustworthy and carry a hallucination risk, and tells customers to check them against primary sources. No worked example of a refusal, measurement of how often abstention works or fails, or confidence score shown to users is published.
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?
The AI Hallucination Cases database maintained by Damien Charlotin, which tracks court decisions on hallucinated AI content and names the tool where known, records no case naming Bloomberg Law or its publisher, and no court order, opinion or disciplinary record naming the product appears in 2026 sanctions trackers, law library commentary or trade press. This is a statement about the public record rather than a finding about the product.
The name appears often in this literature for other reasons: practitioner guidance names Bloomberg Law as a database for checking citations, and its newsroom reports on sanctions.
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?
The approach to AI, AI product, about and pricing pages, both agreements, the privacy policy and the trust center landing page engage no bar or ethics authority, including ABA Formal Opinion 512 or any state bar guidance, and nothing maps the product to a conduct duty. The disclaimers in both agreements and the validation advice on the AI page state the vendor's own position rather than the rules its buyers follow. Bloomberg Law's newsroom covers legal ethics and AI sanctions extensively; that coverage is journalism, not a statement about the product.
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?
The vendor's material centers on time and cost saved: AI that helps customers work efficiently and finish research faster, summaries to speed reading, and a flat subscription pitched on the basis that occasional tool use costs nothing extra. A customer quote describes lower annual legal fees from fewer calls to outside counsel. The pricing, AI product and approach to AI pages and both agreements describe no record of AI assisted work by matter for fee purposes and no guidance on billing or client disclosure where an AI answer informs advice.
Flat pricing removes the pass through question that metered research platforms raise; it does not address client disclosure.
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 portal, linked from every product page footer and reachable without a sales call, lists subprocessors, a data processing agreement, data subject requests, a security whitepaper, a SIG Lite self assessment and an AI FAQ. No subprocessor or model provider is named on the portal landing page or any Bloomberg Law page, and documents are split into public and private with an access request whose terms are not stated. Whether a firm can get the listed material without a signed agreement is not stated.
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?
The vendor commits that generative answers or suggested text include links to sources or an explanation of the result, that Bloomberg Law Answers cites and links supporting authorities, and that inline citations allow one click verification, so a lawyer can produce and check the authorities behind an answer. It also commits to documenting where and when products use generative AI. No model is identified or versioned, so which system produced a passage cannot be known; nothing records who verified an answer; and no export for AI use disclosure or certification is published.
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.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Bloomberg Law
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Integration / interoperability
Bloomberg Law announced a connector, built on the Model Context Protocol, that brings its federal and state court dockets and litigation intelligence into Microsoft Copilot.
Source
In summary
Bloomberg Law
Bloomberg Law is the legal research platform from Bloomberg Industry Group, combining case law, dockets, practice resources and news with AI features called Answers and AI Assistant. Its approach to AI page describes retrieval augmented generation with a guardrail service and names two triggers on which the assistants decline to answer: no content covering the topic, or a query outside legal scope. According to the AI Legal Index, Bloomberg Law describes language models trained on its own content and a data governance program with a map of data flows. BCITE, its citator, uses machine learning and natural language processing to signal whether a holding is still valid. The platform is sold at one flat, all inclusive price, with no figure published.
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.
Questions buyers ask
Bloomberg Law vs Westlaw: which is better for legal research?
It depends on how a team wants the AI to work. Westlaw Advantage runs multistep Deep Research with research notes and adds litigation tools that check briefs and map claims, with KeyCite throughout. Bloomberg Law documents a retrieval design that declines to answer outside its content, uses its BCITE citator, and pairs research with dockets and news. 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 Bloomberg Law and Westlaw cost?
Westlaw publishes starting prices online for law firms of up to 10 attorneys: $155.35 a month for Westlaw Edge with AI-Assisted Research on one circuit and a three year term, and $256.75 a month for Westlaw Advantage. Bloomberg Law sells one flat, all inclusive price for the platform and publishes no figure. From the AI Legal Index, based on each vendor's own published materials as of November 9, 2026. No vendor pays for placement.
Which citator does each use?
Westlaw uses KeyCite, Thomson Reuters' own citator, with flags such as Overruling Risk and Overruled in Part beside sources and in AI Jurisdictional Surveys. Bloomberg Law uses BCITE, which applies machine learning and natural language processing to signal whether a holding is still valid law. From the AI Legal Index, based on each vendor's own published materials as of November 9, 2026. No vendor pays for placement.
Do Bloomberg Law and Westlaw train AI on customer data?
Westlaw's Legal AI Terms bar Thomson Reuters and its providers from training any generative or foundation model on prompts, content or outputs unless agreed in writing. Bloomberg Law describes language models trained on its own content and a data governance program with a map of data flows. 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. Bloomberg Law's privacy policy describes collecting usage and search history, drawing inferences to build a profile of a user's preferences, and sharing a hashed email address with advertising companies, without saying whether in product search history is excluded. Westlaw's online prices apply only to new customers at firms of up to 10 attorneys, so larger firms and existing subscribers negotiate. Bloomberg Industry Group owns Bloomberg Law, and Thomson Reuters owns Westlaw. Neither vendor reviewed this page.