CoCounsel (by Casetext) vs Harvey AI
Detailed side-by-side comparison to help you choose the right tool
CoCounsel (by Casetext)
🟢No CodeBusiness AI Solutions
Thomson Reuters' AI legal assistant that performs document review, contract analysis, deposition preparation, and legal research for attorneys — built on Westlaw's authoritative legal databases.
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🟢No CodeLegal AI
an AI platform for legal and professional-services work, including assistants, document analysis, knowledge research, vault storage, and legal agents.
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Starting Price
~$1,000/lawyer/monthFeature Comparison
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CoCounsel (by Casetext) - Pros & Cons
Pros
- ✓Citations are grounded in Westlaw's authoritative case law, statutes, and secondary sources, reducing the hallucination risk that plagues general-purpose LLMs in legal work
- ✓Purpose-built skills (document review, deposition prep, contract analysis, legal research memos) follow structured workflows attorneys actually run, rather than forcing prompt engineering
- ✓Handles very large document sets — hundreds of thousands of pages — with consistent question application across the entire corpus
- ✓Deep integration with the Thomson Reuters stack (Westlaw, Practical Law, Document Intelligence, HighQ) and Microsoft 365 (Word, Outlook) puts AI inside existing attorney workflows
- ✓Enterprise-grade security posture: SOC 2 Type II, no model training on customer data, role-based access, matter-level segregation, and audit trails suited for regulated practice
- ✓Backed by Thomson Reuters' legal content licensing and editorial infrastructure, giving customers a single accountable vendor rather than stitched-together point tools
Cons
- ✗Pricing is quote-only and positioned at firm/department scale — not accessible or transparent for solos and small firms evaluating cost
- ✗Maximum value is realized only by existing Westlaw subscribers; standalone use loses much of the grounded-citation advantage
- ✗Outputs still require attorney review and verification — the tool does not eliminate the professional responsibility to check every cite and conclusion
- ✗Skill-based workflow can feel rigid compared to open-ended assistants when a task does not map cleanly to a predefined skill
- ✗Coverage is strongest for U.S. federal and state law; non-U.S. jurisdictions and highly specialized practice areas may be thinner
Harvey AI - Pros & Cons
Pros
- ✓Purpose-built for law firms and professional-services teams rather than generic consumer AI.
- ✓Strong fit for legal research, drafting, document analysis, Vault-style knowledge workflows, and domain-specific agents.
- ✓Enterprise positioning makes security, governance, and deployment conversations part of the product rather than an afterthought.
Cons
- ✗No reliable public self-serve pricing was visible in fetched vendor pages; expect custom enterprise sales.
- ✗Overkill for solo users who only need occasional document summaries or first-draft writing.
- ✗Legal AI still requires professional review; hallucinated citations, jurisdiction issues, and privilege handling must be controlled.
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