CoCounsel (by Casetext) vs Harvey
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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Contact salesHarvey
🟢No CodeBusiness AI Solutions
Enterprise-grade AI legal assistant built for law firms and corporate legal departments, offering contract analysis, legal research, litigation support, document drafting, and compliance automation with enterprise-grade security.
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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 - Pros & Cons
Pros
- ✓Legal-specific AI models trained on millions of legal documents deliver higher accuracy and domain understanding than general-purpose AI tools, with proprietary fine-tuning that minimizes hallucinated citations
- ✓Partnership with Intapp provides industry-leading privilege protection and ethical wall enforcement, ensuring AI-assisted workflows respect attorney-client privilege boundaries and conflict-of-interest requirements
- ✓Proven enterprise adoption with 60+ AmLaw 200 firms and marquee clients including A&O Shearman and PwC, demonstrating reliability and trust at the highest levels of the legal profession
- ✓Comprehensive integration with existing legal technology infrastructure including iManage, NetDocuments, Microsoft 365, and enterprise SSO providers like Okta for seamless deployment into firm workflows
- ✓Enterprise-grade security architecture with SOC 2 Type II certification, ISO 27001 compliance, end-to-end encryption, and a contractual guarantee that no client data is used for model training
Cons
- ✗Enterprise-only pricing with annual commitments starting at approximately $1,000–$1,200 per lawyer per month makes Harvey prohibitively expensive for small and mid-sized firms, solo practitioners, and legal aid organizations
- ✗No public pricing, free tier, or self-serve signup option means prospective users cannot evaluate the platform without engaging in a multi-week sales and pilot process
- ✗Heavily oriented toward large law firm and corporate legal department workflows, with less focus on niche practice areas such as patent prosecution, immigration, or family law
- ✗Output still requires attorney review and professional judgment — Harvey is explicitly an assistant rather than a replacement, and AI-generated legal analysis can still contain errors requiring validation
- ✗Deep value depends on integrating firm proprietary data and workflows, requiring significant implementation effort over 3–6 months including SSO configuration, DMS integration, and user training
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