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

By PulseAugur Editorial · [1 sources] ·

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

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-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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Tool
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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High
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125 days old
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COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · 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 …

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