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Generative AI for Legal Document Summarization
ABOUT THE CUSTOMER

A global legal services provider managing extensive documentation for corporate clients, including contracts, case summaries, and compliance reports. Their team struggled to process and summarize large volumes of documents efficiently.

THE CHALLENGE |
  • Manual document review and summarization consumed up to 50% of team resources
  • High risk of errors in critical summaries, impacting decision-making for clients
  • Low turnaround times for case reviews and compliance audits, leading to missed deadlines
  • The inability to process large volumes of data reduced the team’s operational capacity
THE SOLUTION |

CloudifyOps team implemented an AI-powered solution using AWS tools to automate document processing. Amazon Textract extracted text from scanned legal documents, while Amazon Comprehend identified key information like clauses and risks. Amazon Bedrock generated concise summaries, and Amazon SageMaker fine-tuned the models based on legal feedback. AWS Glue handled data preparation, and Amazon QuickSight monitored the accuracy of the summaries, allowing the legal team to focus on strategic tasks.

BENEFITS DELIVERED |
  • AI-driven health education content tailored to each patient’s condition, treatment plan, and language preference
  • Summaries were 98% accurate, improving the quality of client deliverables
  • Legal teams could process significantly higher volumes of documents, increasing operational capacity by 60%
  • Improved client satisfaction due to faster turnaround times and more accurate summaries
TECHNOLOGY STACK |

Amazon Textract, Amazon Comprehend, Amazon Bedrock, AWS Glue, Amazon SageMaker, Amazon QuickSight

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