CoCounsel (by Casetext / Thomson Reuters) vs Harvey AI

Detailed side-by-side comparison to help you choose the right tool

CoCounsel (by Casetext / Thomson Reuters)

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Business AI Solutions

Thomson Reuters' agentic legal AI grounded in Westlaw and Practical Law — handles legal research, document review, contract analysis, drafting in Word, and depositions prep with verified citations.

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Starting Price

Contact sales
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Harvey AI

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Legal 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/month
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Feature Comparison

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FeatureCoCounsel (by Casetext / Thomson Reuters)Harvey AI
CategoryBusiness AI SolutionsLegal AI
Pricing Plans4 tiers238 tiers
Starting PriceContact sales~$1,000/lawyer/month
Key Features
  • • AI-Powered Document Review & Analysis
  • • Contract Review with Risk Assessment
  • • Grounded Legal Research with Westlaw Citations
  • • Legal-specific AI models trained on extensive legal corpora from OpenAI and Anthropic foundation models, delivering domain-accurate analysis with minimized hallucination risk
  • • Advanced contract intelligence and analysis engine for extracting key provisions, identifying risks, and comparing terms against firm playbooks across large document portfolios
  • • Comprehensive litigation support and e-discovery capabilities including document review, relevance classification, privilege screening, and case law research

CoCounsel (by Casetext / Thomson Reuters) - Pros & Cons

Pros

  • ✓Westlaw and Practical Law grounding with citation verification is genuinely defensible against hallucination risk
  • ✓Native inside Microsoft Word — drafting and review live where lawyers already work
  • ✓Quantified customer ROI (5x ROI, hour-long reviews to minutes) backs the enterprise pitch

Cons

  • ✗Enterprise-only pricing locks out solo and small-firm practitioners who can fit Harvey or Paxton instead
  • ✗Long Thomson Reuters procurement cycles make 'try it on one matter' difficult
  • ✗Closed ecosystem — no MCP support, workflows are bound to the TR stack

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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🔒 Security & Compliance Comparison

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Security FeatureCoCounsel (by Casetext / Thomson Reuters)Harvey AI
SOC2—✅ Yes
GDPR—✅ Yes
HIPAA——
SSO—✅ Yes
Self-Hosted—❌ No
On-Prem—❌ No
RBAC—✅ Yes
Audit Log—✅ Yes
Open Source—❌ No
API Key Auth——
Encryption at Rest—✅ Yes
Encryption in Transit—✅ Yes
Data Residency——
Data Retention—configurable
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Review CoCounsel (by Casetext / Thomson Reuters)Review Harvey AI