AI-Powered Legal and Regulatory Summarization Platform
Major Insurer
KEY IMPACT
Plan for reduced compliance review time, increased accuracy and regulatory adherence, and established automated knowledge reuse across departments.
The Challenge
A major insurer needed a faster and more consistent way to review lengthy regulatory documents and compliance circulars. Manual summarization created knowledge silos and increased audit delays.
Our Solution
We helped planning a Databricks-based summarization workflow combining RAG, transformer-based text generation, and ROUGE-based evaluation pipelines. Documents were vectorized and stored in a scalable Delta Lake repository. Using LangGraph orchestration, the system dynamically adjusted summarization depth (extractive vs. abstractive) depending on document type and compliance category. Model outputs were continuously evaluated via DeepEval and tracked using MLflow Evaluate, creating an evidence-backed audit trail for every generated summary. Integration with existing compliance workflows ensured every model output could be versioned, reproduced, and revalidated.
Results & Outcomes
Plan for reduced compliance review time
Increased accuracy and regulatory adherence
Established automated knowledge reuse across departments
Technologies Used
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