
Legal Document Analyzer
This is a comprehensive toolkit for building legal document analysis agents that can parse contracts, extract key terms, identify risks, and check compliance. You get concrete components like LegalDocumentParser for handling PDFs and DOCX files, ContractAnalyzer for pulling out obligations and payment terms, and ContractRiskAnalyzer for flagging everything from unlimited liability to GDPR issues. The best practices section is actually useful, covering systematic document review and risk prioritization. It's positioned for building contract review tools and compliance checkers, though you'll still need actual legal expertise to validate the output. The combination of document parsing, risk analysis, and report generation gives you a solid foundation without reinventing the wheel.
- skills.sh installs
- 1.2K
- GitHub stars
- 48
- last updated
- Aug 21, 2026
Install
$ npx -y skills add qodex-ai/ai-agent-skills --skill legal-document-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Legal Document Analyzer
Build intelligent legal document analysis agents that review contracts, identify risks, and provide legal insights.
Document Parsing
See examples/legal_document_parser.py for LegalDocumentParser:
- Parse PDF, DOCX, and text documents
- Extract and structure document content
- Identify sections, clauses, definitions, parties, and dates
Contract Analysis
See examples/contract_analyzer.py for ContractAnalyzer:
- Identify contract type (NDA, employment, service, purchase, lease)
- Extract key terms (dates, renewal, payment, performance metrics)
- Extract obligations, rights, and liabilities
Risk Identification
See examples/contract_risk_analyzer.py for ContractRiskAnalyzer:
- Analyze financial risks (unlimited liability, price escalations)
- Identify legal risks (ambiguous terms, conflicting clauses)
- Assess operational risks
- Check compliance risks (GDPR, data protection)
Legal Research
Sponsors
Details
- Repository
- github.com/qodex-ai/ai-agent-skills
- Categories
- DevOps & CI/CD, Git & Pull Requests, Code Review & Quality, AI & Agent Building, Data Science & ML
- First seen
- May 16, 2026
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