ContractGPT - Enterprise Contract Data Extraction

AI-powered contract analysis system for Medtronic, extracting critical data points from complex medical device agreements with 95% accuracy. Scaled to process thousands of contracts monthly.

ContractGPT - Enterprise Contract Data Extraction

Technologies Used

Python OpenAI API LangChain PostgreSQL React TypeScript Azure Docker

Key Features

Automated extraction of 50+ contract data points with 95% accuracy
Processing pipeline handling 1000+ contracts monthly
Custom NLP models for medical device terminology
Enterprise-grade security and compliance (HIPAA/SOC2)
Real-time dashboard for contract insights and analytics

Overview

Led the development of ContractGPT, an enterprise-scale AI solution for Medtronic’s contract management division. This system revolutionized how the company processes and analyzes thousands of medical device contracts, reducing manual review time by 80% while improving accuracy.

Challenge

Medtronic’s legal and procurement teams were spending thousands of hours manually reviewing complex medical device contracts to extract critical data points including pricing terms, delivery schedules, warranty conditions, and compliance requirements. The manual process was error-prone and created bottlenecks in the procurement pipeline.

Solution

Developed a comprehensive AI-powered contract analysis platform that:

  • Automatically extracts and validates 50+ critical data points from contracts
  • Handles various contract formats including PDFs, Word documents, and scanned images
  • Provides real-time insights through an intuitive dashboard
  • Integrates seamlessly with existing enterprise systems

Technical Implementation

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Impact

  • 80% reduction in contract review time
  • 95% accuracy in data extraction
  • $2M+ annual savings in operational costs
  • 3x faster contract turnaround time

Technologies Used

The solution leverages cutting-edge AI technologies combined with enterprise-grade infrastructure to deliver reliable, scalable results in a highly regulated environment.

Completed on: Mar 15, 2024

Michael Pelser

I build pragmatic systems that automate work and deliver business value — Python, Django, React, and GenAI where it actually helps.

Company

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