Thomson Reuters’ professional-grade legal AI assistant brand for legal research, drafting, document work, and practice workflows.
Thomson Reuters’ professional-grade legal AI assistant brand for legal research, drafting, document work, and practice workflows.
CoCounsel is Thomson Reuters’ professional-grade legal AI assistant brand for legal research, drafting, document work, and practice workflows. It is most useful when a team wants a focused product rather than a blank chatbot, because the vendor positions the workflow around concrete outcomes: legal research, litigation preparation, drafting and review, law-firm productivity. The fetched homepage and pricing pages point to capabilities such as AI for legal research and guidance, drafting support, document and evidence workflows, Westlaw/Thomson Reuters ecosystem positioning, professional legal use cases. In practice, that makes CoCounsel a good fit for builders and business users who need to move from an idea or raw work material into a usable artifact quickly, with fewer handoffs between separate research, drafting, design, review, and publishing tools. Teams should still test output quality with their own brand, compliance, or data constraints, because AI-assisted creation varies widely by domain and input quality. Pricing evidence from the fetched pricing page: Custom/legal subscription: Not verified tested product and pricing URLs returned a Thomson Reuters page-not-found shell. The fetched URLs returned page-not-found content, so current product URL and pricing need manual verification. For evaluation, start with the lowest available tier or demo path, run one real project, and measure whether the tool removes manual work rather than merely adding another review queue. Useful buying questions include export formats, collaboration controls, privacy settings, admin features, commercial rights, and whether generated output can be edited outside the platform. No Model Context Protocol support was found in the curl-fetched vendor pages, so it should be treated as not MCP-compatible until the vendor documents otherwise. Overall, CoCounsel belongs in a shortlist when its category matches an existing bottleneck and when the team can validate pricing, limits, and output rights before rolling it out broadly.
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CoCounsel's research capability is grounded in Westlaw's 40,000+ legal databases, enabling attorneys to pose natural language questions and receive structured memoranda with pinpoint citations to case law, statutes, and secondary authority. Unlike general-purpose AI tools, CoCounsel's retrieval-augmented generation approach pulls directly from editorially curated legal content, including attorney-written headnotes and the West Key Number System. The integration into Westlaw Precision means attorneys can initiate AI-assisted research without leaving their existing workflow, and can seamlessly navigate from AI-generated citations to full-text authority within Westlaw.
The contract review module can ingest and analyze large document sets — such as hundreds of leases or vendor agreements — to identify non-standard clauses, missing provisions, and deviations from market norms. Results are organized into structured reports that categorize findings by risk level and clause type, enabling attorneys to prioritize review efforts. This capability is particularly valuable during M&A due diligence, where transactional teams need to review 200+ contracts efficiently while ensuring no material terms are overlooked.
Every AI-generated response includes direct citations to specific Westlaw sources, with links to the full-text authority. The platform maintains complete audit trails documenting which sources informed each output, directly supporting attorneys' professional responsibility obligations under rules requiring competent supervision of AI tools. This source attribution model distinguishes CoCounsel from general-purpose AI tools that cannot reliably cite legal authority.
Attorneys can upload briefs, filings, contracts, or regulatory documents and receive structured summaries identifying key provisions, parties, obligations, deadlines, and potential issues. The system can process documents up to several hundred pages in length and extract specific data points into organized formats suitable for client reporting or internal analysis. This feature reduces the time attorneys spend manually reviewing lengthy documents while ensuring critical details are surfaced consistently.
CoCounsel analyzes deposition transcripts alongside case materials to suggest lines of questioning, identify inconsistencies in witness testimony, and flag areas requiring further investigation. This capability integrates with the broader research functionality, allowing attorneys to cross-reference deposition testimony against relevant case law and statutory authority. Litigation teams can use these features to prepare more thoroughly for depositions and identify potential impeachment opportunities.
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Through 2025 and into 2026, Thomson Reuters has continued to roll out agentic capabilities in CoCounsel, allowing the assistant to chain multiple skills together to complete multi-step workflows such as end-to-end deposition prep or full contract review cycles with minimal lawyer intervention. AI-Assisted Research in Westlaw Precision has expanded to additional practice areas and jurisdictions, and integrations with Practical Law and Checkpoint have deepened so that tax and transactional workflows benefit from the same conversational interface. Thomson Reuters has also emphasized model flexibility, with CoCounsel running on a mix of frontier models from providers including OpenAI and Anthropic depending on the task, and has continued investing in evaluation and benchmarking to address concerns about hallucinations and output reliability in professional settings.
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