Extracting contract insights with PwC’s AI-driven annotation on AWS

Amazon AWS AI Blog / 4/30/2026

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Contract review is becoming harder to scale as legal, compliance, and procurement teams face increasing volumes of long, unstructured agreements that hide key clauses and terms.
PwC’s AI-driven annotation (AIDA), built on AWS, uses rule-based extraction combined with LLM-based interpretation to pull structured insights and answer natural-language questions.
AIDA supports both single-document queries and cross-document “global chat,” returning context-specific answers with linked citations to improve reliability and traceability.
In customer deployments, AIDA has reportedly reduced manual contract review time by up to 90%, streamlining review workflows and shortening contract cycles.
The post outlines an end-to-end architecture for transforming unstructured contract text into searchable insights, while emphasizing that customers must configure safeguards and apply human review for sensitive data.

This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms can become increasingly difficult to scale. […]

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