M4A

Casetext

AI legal research platform acquired by Thomson Reuters

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Memory Types

semantic, legal-precedent

Integrations

westlaw, legal-databases


Overview


Casetext is an AI-powered legal research platform that was acquired by Thomson Reuters in 2023 for $650 million. The platform's CoCounsel product, powered by GPT-4, provides AI assistance for legal research, document review, deposition preparation, and contract analysis. Casetext pioneered AI in legal research before the current generative AI wave.


The platform combines a comprehensive legal database with AI that can understand natural language queries, summarize cases, and identify relevant precedents. Following the Thomson Reuters acquisition, Casetext technology is being integrated into Westlaw and other Thomson Reuters legal products.


Key Features


  • **CoCounsel AI**: GPT-4 powered legal assistant
  • **Case Research**: Natural language legal research
  • **Document Review**: AI-powered document analysis
  • **Contract Analysis**: Review and summarize agreements
  • **Deposition Prep**: Prepare for depositions with AI
  • **Legal Database**: Access to comprehensive case law
  • **Citation Analysis**: Analyze case authorities
  • **Thomson Reuters Integration**: Access to Westlaw data

    • When to Use Casetext


    Casetext is ideal for:

  • Law firms of all sizes doing legal research
  • Solo practitioners and small firms
  • Corporate legal departments
  • Contract review and analysis
  • Litigation research and preparation
  • Organizations wanting affordable legal AI

    • Pros


  • More affordable than Harvey for smaller firms
  • Strong AI capabilities with GPT-4
  • Comprehensive legal database
  • Thomson Reuters backing and integration
  • Proven technology (pre-dates GPT hype)
  • Good for solo and small firm practitioners
  • Natural language search
  • Multiple use cases beyond research

    • Cons


  • Being integrated into Thomson Reuters (uncertain future)
  • May have overlap with Westlaw products
  • Less specialized than some competitors
  • Acquisition may change product direction
  • Still requires legal expertise to use
  • Not as advanced as dedicated AI-first platforms
  • US-focused (limited international coverage)
  • May not be as cutting-edge post-acquisition

    • Pricing


  • **CoCounsel**: $500-1,000/month per user
  • **Research**: Lower-cost research-only plans
  • **Enterprise**: Custom pricing for firms
  • **Thomson Reuters**: Bundled pricing options

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