Industrial Electronics - Higher efficiency through automated extraction of relevant contract information

AI-powered analysis of legal documents with AWS

Starting point

  • The client required an AI-powered solution for the automated analysis of legal documents, particularly NDAs (Non-Disclosure Agreements).
  • Manual extraction of relevant contract information such as deadlines, parties, and conditions was both time-consuming and error-prone.
  • The solution needed to be cost-effective, flexible for future expansion, and capable of enabling additional AI-based contract analyses down the line.
 

Approach

  • Design and implementation of a scalable, AI-supported cloud architecture on AWS
  • Integration of AI models for the automated analysis of legal documents.
  • Advising the client on the efficient use of AWS services for AI-driven automation.

Features/Project outcome

  • Development of an AI-powered architecture for the automated analysis of legal documents on the S3 platform
  • Utilisation of AWS Bedrock for processing new files and the intelligent extraction of relevant data
  • Automated identification and analysis of contract contents, including deadlines, parties, and conditions

Customer benefits

  • Automated extraction of key contract information such as deadlines and parties.
  • Significant reduction of manual tasks through AI-supported document analysis.
  • Increased accuracy and consistency in the detection and processing of legal data.
  • Scalable AI-based solution for the efficient processing of large volumes of contracts.
Lars Ritter | Senior Manager
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