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AI system automates contract review using OCR, RAG, and LangGraph

This article details how to build an AI-powered system for contract intelligence, automating the extraction of key terms from various document formats. The system utilizes a combination of Optical Character Recognition (OCR) with PaddleOCR, hybrid retrieval methods like FAISS and BM25, and the GPT-4o model within a LangGraph pipeline. This approach aims to transform unstructured contract data into structured reports, addressing issues like missed deadlines, financial leakage, and compliance risks. AI

Summary written by gemini-2.5-flash-lite from 1 sources. How we write summaries →

IMPACT Enables automated extraction of critical information from contracts, improving efficiency and reducing risks for legal, finance, and operations teams.

RANK_REASON The article describes a technical guide and implementation of an AI system for a specific task, akin to a research paper or tutorial. [lever_c_demoted from research: ic=1 ai=1.0]

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AI system automates contract review using OCR, RAG, and LangGraph

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  1. Towards AI TIER_1 · Alpha Iterations ·

    Build an AI Contract Intelligence System: OCR + Hybrid RAG + LangGraph to Extract Key Terms…

    <h3><strong>Build an AI Contract Intelligence System: OCR + Hybrid RAG + LangGraph to Extract Key Terms Automatically</strong></h3><h4><em>A step-by-step guide to automating contract review with PaddleOCR, FAISS, BM25, and GPT-4o inside a LangGraph pipeline</em></h4><figure><img …