cuad

AI-powered contract review skill with CUAD risk detection, market benchmarks, and lawyer-ready redlines. Works with Claude Code, Codex, Cursor, and 26+ tools.

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.

Pre-embedding definition injection for legal contract RAG — fixes the Definition Dependency Gap in CUAD contracts. Code and benchmark for the DAPEI paper.

Free AI contract review for models and talent — catches exclusivity traps, in-perpetuity image rights, upfront-fee scams, and commission stacking, then tells you exactly what to negotiate. Works with Claude, ChatGPT, Cursor, and 26+ tools.

Benchmark zero-shot LLM vs fine-tuned transformers for contract clause classification on the CUAD dataset: precision, recall, F1, cost & latency side by side.

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.

AI contract analysis: clause extraction, risk flagging, and cited Q&A — honestly evaluated against lawyer annotations (CUAD)

Professional commercial contract search platform powered by Qdrant vector search and the CUAD dataset. Features 510 real contracts with 13K+ expert-labeled clauses, semantic search, and coarse-to-fine retrieval pipelines.

AI-powered contract intelligence & risk engine with open-vocabulary clause classification, interactive systemic risk graphs, and real-time What-If redline simulations.

Evaluation of Llama 3.2 3B on CUAD Dataset - before and after finetuning

Multi-agent LLM-based contract review system — Summer School Turco 2026

QLoRA fine-tune of Qwen3-4B on CUAD — 41 clause types, verbatim extraction, evaluated against zero-shot frontier models

Ask a real contract, get the clause: RAG over 100 CUAD contracts with local open models, a 189-setup search ablation, claim-level grading and a failure taxonomy.

Turns contract PDFs into structured records where every extracted value carries a verbatim quote from the source - anything it can't quote is reported missing, not guessed. Docling + LangGraph, evaluated on CUAD.