Amazon Bedrock's AIDA automates contract filters for precise legal search

AIDA, built by AWS on Amazon Bedrock Knowledge Bases, tackles the challenge of searching complex legal contracts. The system ingests contracts alongside structured metadata—parties, effective dates, termination dates, jurisdiction—and uses a sophisticated chunking mechanism to break documents into semantically meaningful segments. These chunks are converted into vector embeddings stored in Amazon OpenSearch Service or Amazon S3 Vectors, both encrypted at rest. The key innovation is the use of implicit and explicit filtering: metadata enables automatic filters that narrow retrieval before semantic search, ensuring the language model only processes the most relevant clauses. Security is handled via IAM policies, project-scoped roles, and CloudWatch audit trails.

When a user submits a query, Amazon Bedrock Guardrails first protect against prompt injections and data leaks. Then the query is embedded and run through the enhanced RAG workflow, which applies those auto-generated filters to ground answers in the correct contracts and legal context. This dramatically improves accuracy over standard RAG systems, which often surface too much content or miss critical document-level context. For enterprises managing thousands of contracts across multiple jurisdictions, AIDA turns manual contract review into a scalable, actionable intelligence pipeline—letting teams ask natural-language questions about rights, renewals, and restrictions and get precise, access-controlled answers.