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iLoveAgents / microsoft-foundry-content-understanding-cuad-benchmark

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Benchmark Microsoft Foundry Content Understanding on CUAD legal contracts. Achieves 83.3% F1 score (29% better than GPT-4o baseline). Complete Python notebook with optimized schemas for contract clause extraction. Production-ready with confidence scores & cost analysis.

python nlp benchmark azure jupyter-notebook openai contract-analysis legal-ai document-understanding content-understanding document-intelligence cuad microsoft-foundry foundry-tools
  • Updated Jan 20, 2026
  • Jupyter Notebook

Ahb1104 / legallens

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End-to-end Agentic RAG system for legal contract analysis — hybrid retrieval (BM25 + dense + RRF), cross-encoder reranking, LangGraph agent with 3 tools, LLM-as-a-judge evaluation, FastAPI + Streamlit + Docker Compose. Built on CUAD (406 contracts, 22K expert annotations). Zero cost — all free-tier tools.

nlp docker machine-learning information-retrieval contract-analysis rag fastapi legal-ai groq streamlit llm cuad chromadb langgraph
  • Updated Apr 4, 2026
  • Python

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