Casetext AI
Revolutionizes legal work with AI: research, document review, contract analysis, timeline creation.
What is Casetext AI?
Casetext AI is a legal research and document analysis platform that uses artificial intelligence to assist lawyers with common tasks. It helps legal professionals conduct case law research, review documents more quickly, analyse contracts, and build timelines from case materials. The tool is designed to reduce time spent on routine legal work, allowing solicitors and barristers to focus on strategy and client advice. Casetext offers a free tier, making it accessible to solo practitioners and small firms alongside larger legal departments.
Key Features
Legal research
Search case law and statutes with AI-assisted results and summaries
Document review
Upload and analyse documents to identify key information and clauses
Contract analysis
Extract terms, obligations, and dates from contracts automatically
Timeline creation
Build chronological timelines from case documents and materials
Citation tools
Link to relevant case law and legal authorities
Collaborative workflows
Share research and documents with colleagues
Pros & Cons
Advantages
- Free tier removes cost barriers for individual lawyers and small practices
- Reduces manual time on routine tasks like document review and timeline building
- Covers multiple legal workflows in one platform rather than requiring separate tools
- No requirement for specialist legal training to use the interface
Limitations
- AI-generated analysis should be verified by a qualified lawyer; it is not a substitute for professional legal judgment
- May not be suitable for highly specialised practice areas with limited training data
- Free tier may have limitations on document uploads or research queries
Use Cases
Junior associates conducting legal research for case preparation
Document review during discovery in litigation
Contract review for in-house counsel managing multiple agreements
Building case timelines from witness statements and exhibits
Solo practitioners managing cases without dedicated support staff