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AWS enhances contract search with AI-driven filters on Amazon Bedrock

AWS has developed an AI-Driven Annotation (AIDA) solution to enhance contract search accuracy for enterprises, particularly in industries like entertainment and media. This solution leverages Amazon Bedrock Knowledge Bases and a retrieval-augmented generation (RAG) architecture to transform unstructured legal documents into searchable intelligence. AIDA improves search precision by employing implicit and explicit filtering, alongside metadata-enriched chunking, to ensure users access the correct contracts with appropriate legal context and access boundaries. AI

IMPACT Enhances enterprise efficiency in legal document analysis through improved AI-powered search capabilities.

RANK_REASON This is a product announcement for a specific application of AI within a cloud platform, not a core AI model release or research breakthrough.

Read on AWS Machine Learning Blog →

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AWS enhances contract search with AI-driven filters on Amazon Bedrock

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Ariana Lopez ·

    Improve contract search accuracy with auto-generated filters in Amazon Bedrock

    In this post, we describe how AIDA works at a high level and how it helps address these challenges — grounding users in the right contracts, under the right legal context, and within the right access boundaries. Specifically, we explore how AIDA uses implicit and explicit filteri…