Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore
Machine Learning Blog
This article describes an AI-powered contract intelligence platform that extracts structured data from contract PDFs and enables both portfolio-wide analytics and single-document lookups through a unified interface.
- Dual AI agents (Claude Sonnet for extraction, Claude Haiku for verification) independently process contracts with confidence scores
- Amazon Textract provides deterministic signature detection when models disagree, avoiding hallucinations
- Extracted data stored in Amazon Aurora PostgreSQL enables aggregation queries across hundreds of contracts
- Amazon Quick embeds dashboards and natural language chat for both structured analytics and document-specific Q&A
- WebSocket-based real-time pipeline status provides transparency on multi-stage processing
- Serverless architecture processes contracts in seconds at ~$0.014 per contract for AI inference costs
The platform solves the limitation of RAG-based systems by combining structured extraction for portfolio queries with document retrieval for single-contract lookups, enabling directors to answer both aggregation questions and detailed contract inquiries instantly.
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