Finance

Contract Analysis Platform

A mid-size law firm needed to review hundreds of contracts monthly. Manual review took hours per document and was prone to missed clauses. We built an AI platform that analyzes contracts in minutes.

-85% Review Time
+40% Risks Found
5 weeks Delivery
$12,000 Cost

The Challenge

The firm's lawyers spent 3-4 hours per contract on routine review tasks: identifying key terms, flagging risk clauses, checking compliance requirements, and comparing against standard templates. With 200+ contracts per month, this consumed most of the junior associates' time.

Our Solution

We developed a RAG-based platform that ingests contracts in PDF, DOCX, and scanned formats, extracts key information, flags risks against configurable rule sets, and generates summary reports. The system supports English, German, and French contracts.

  • OCR pipeline for scanned documents with 99%+ accuracy
  • RAG architecture with the firm's own contract templates as knowledge base
  • Risk scoring system with configurable rules per contract type
  • Key term extraction: parties, dates, obligations, penalties, termination clauses
  • Side-by-side comparison with standard templates highlighting deviations
  • Export to structured reports for partner review

Results

Contract review time dropped from 3-4 hours to 20 minutes per document. The system catches 40% more risk clauses than manual review. Junior associates now focus on complex legal analysis instead of routine extraction work.

Tech Stack

Python LangChain Claude API Tesseract OCR FastAPI PostgreSQL React Docker

Project Details

Timeline: 5 weeks

Cost: $12,000

Industry: Finance

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AI Contract Analysis: Faster, More Accurate Document Review

AI-powered contract analysis uses retrieval-augmented generation (RAG) and natural language processing to review legal documents in minutes instead of hours. The technology extracts key terms, flags risks, and compares contracts against templates — reducing human error and freeing legal professionals for higher-value work.