Improve contract search accuracy with auto-generated filters in Amazon Bedrock
Machine Learning Blog
This article describes AIDA, an AI-driven annotation solution that transforms unstructured contracts into searchable intelligence using Amazon Bedrock Knowledge Bases and retrieval-augmented generation (RAG).
- Implements implicit filtering to automatically apply metadata-based conditions before semantic search
- Uses explicit filtering at the application layer to enforce business policies and compliance requirements
- Enriches document chunks with metadata values like governing law, effective date, and contract type
- Combines filtering and metadata enrichment to dramatically improve RAG accuracy and reduce hallucinations
- Tested on Contract Understanding Atticus Dataset showing metadata enrichment improved answer quality from partial to most reliable
AIDA provides enterprise-ready contract intelligence by grounding legal document analysis in proper context and access boundaries, reducing manual review effort while maintaining accuracy for critical business decisions.
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