Extracting contract insights with PwC’s AI-driven annotation on AWS
Machine Learning Blog
This article describes PwC's AI-driven annotation (AIDA) solution built on AWS for extracting structured insights from contracts using LLMs and automated workflows.
- AIDA reduces manual contract review time by up to 90% through AI-powered extraction
- Three core capabilities: template-based extraction, document-level chat, global cross-document chat
- Uses Amazon Bedrock LLMs with Retrieval Augmented Generation for accurate, cited responses
- Processes contracts asynchronously via Amazon ECS/Fargate with Amazon SQS coordination
- Stores documents in Amazon S3, structured data in Amazon RDS with encryption at rest
- Integrates with downstream systems via Lambda, EventBridge, and SQS for workflow automation
- Includes human-in-the-loop review queue before forwarding extracted insights downstream
- Provides operational dashboards via Amazon QuickSight for performance monitoring
AIDA transforms unstructured contracts into searchable, structured insights, enabling faster legal and compliance workflows while maintaining security and traceability across enterprise systems.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
2026
2024
2025
2024
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.