Bloomberg Law vs Intelligize+ AI: how they compare in 2026

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.

The AI is a core layer on a research platform that still works without it. Protégé carries the product's new capabilities: questions over several turns across SEC filings, peer benchmarking, structured comparison tables and grounded first drafts. The AI page states that traditional Boolean and conceptual search remain available, and the filings database, tagging, filters and redlining that Intelligize was built on function without the models.

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.

Grounding is described and checkable. The AI page states that the product uses a proprietary retrieval augmented approach to ground responses in authoritative sources, with links to supporting citations, and that users can review the specific SEC filings behind each result and examine the search logic used to build the analysis. No accuracy figures, test set or error rate are published, and the LexisNexis general terms state that AI systems may not be accurate or free of errors.

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.

Review is placed on the user in writing and supported by real surfaces. The LexisNexis general terms that govern the product make users responsible for verifying any information the AI provides; the AI page shows the sources and search logic behind each result, describes output as first drafts, and offers a customer research team to help validate findings; and the product states its AI is developed with human oversight. No threshold, categorical limit on use without review, or account of what happens when an answer is wrong is published.

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.

Named customers without measured results. The case studies page carries five named, dated studies from January and February 2024, covering Uniqus, Lightbridge, Accel Entertainment, Compensation Advisory Partners and Cohen & Company. They describe how those customers use the research platform; all predate the AI and state no figures. Named testimonials run across the site, including one from Resideo recommending Intelligize+ AI itself. The company claims to serve nearly 60 percent of the Fortune 500, 87 percent of the Am Law 100 and all of the Big Four accounting firms, without a basis. No outcome of the AI features is measured anywhere.

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.

Contractual commitments on the points that matter most. 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 to the standard of confidential information, and the confidentiality clause requires advance notice before any disclosure compelled by law so the customer can seek a protective order. The AI page adds that the generative AI runs in a privately hosted environment and is never shared with third parties. Nothing addresses privilege or work product by name, or separation between matters or users.

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.

A disclaimer covering the whole product, with a verification duty attached. The LexisNexis general terms state that the online services are not legal, accounting, financial or other professional advice or a substitute for an attorney or accountant, and the AI services clause adds that AI is not a substitute for independent professional advice and that users are responsible for verifying what it provides. Nothing addresses a lawyer's own professional obligations when relying on the output, and no jurisdiction or ethics guidance is named.

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.

A published framework connected to the product. The AI page links the RELX Responsible AI Principles and restates them for Intelligize+ AI: development with transparency, accountability and human oversight, prioritizing privacy, reducing bias and maintaining data governance throughout development. The LexisNexis trust center adds AI entries on training data and bias, AI monitoring, the EU AI Act and an AI system development and evaluation policy. No accountable owner for this product, test results before release or bias findings are published.

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.

Most of the ground is covered through the parent. The LexisNexis trust center, linked from the product footer, publishes controls for encryption, access monitoring, data erasure, breach notification, designated incident responders, penetration testing and business continuity; the general terms warrant no training on AI inputs, allow a file of customer data to be returned on request up to 60 days after termination, and then permit its deletion. Two gaps remain: no retention period is stated for prompts or files during the subscription, and the LexisNexis Legal & Professional subprocessor list, last updated 17 September 2026, names subprocessors for many LexisNexis products but not for Intelligize.

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.

Recourse is real but partial. The LexisNexis general terms give an indemnity and defense against third party patent, copyright, trademark and trade secret claims arising from use of the service, which sits outside the liability cap; otherwise liability is capped at the lesser of direct damages or the fees paid in the preceding 12 months. AI output is left to the user: the terms say AI systems may not be accurate, make users responsible for verifying what they receive, and disclaim accuracy of reports generated from customer files.

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.

A real data API, documented for customers. The API page describes delivering SEC filings, comment letters, ESG reports and M&A data into customer portals, dashboards, internal websites, CRM products and matter management tools, with API documentation and a developer advocate team for implementation. No named connector to a specific document, matter or reporting system is listed, and the documentation itself is not public.

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.

Cloud, with little else stated. The product is delivered online through a customer login, the AI page says the generative AI runs in a privately hosted environment, and the LexisNexis trust center lists Amazon Web Services as infrastructure. No region, residency option, tenancy model or processing location for Intelligize is published.

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.

Named attestations through the parent's trust center, with the product's coverage unstated. The product footer links the LexisNexis Trust Center, which lists SOC 2 Type 2, SOC 3, ISO/IEC 27001 with its statement of applicability, ISO 22301, SOC 1 Type 2, a HIPAA attestation and a penetration test report, with reports available by secure download. Its 2026 announcement of SOC 2 Type 2 and SOC 3 reports names Lexis, Lexis+ with Protégé and CaseMap+, not Intelligize, so whether the product falls within scope is not stated. The trust center also publishes the company's own notice of a security matter affecting legacy customer contact and support data, mostly from before 2020, stating that no customer client or matter information was involved.

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.

Placement is described; the model is not. The AI page says the generative AI runs in a privately hosted environment, is never shared with third parties, and uses a proprietary retrieval approach. No model, version or provider is named for Intelligize+ AI, the LexisNexis general terms say AI services may be proprietary or supplied by a third-party provider, and no commitment to notify customers of a model change is published.

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.

No price, tier or unit of charge is published; access starts with a trial or demo request.

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.

Four buyer segments each have their own page: public companies, private companies preparing for an IPO, law firms advising on SEC compliance, disclosure drafting and transactions, and accounting and consulting firms. The scope is set by the content, which covers SEC filings and correspondence, US and international accounting standards, ESG reporting and M&A data. What the product does not cover is not stated.