JPMorgan Chase, one of the world's largest banks, processed thousands of commercial loan agreements annually, each requiring detailed legal review to extract key terms, identify obligations, and assess risks. This document review consumed approximately 360,000 hours of lawyer and loan officer time annually — expensive, error-prone, and slow. The bank recognized that much of this work involved pattern recognition and data extraction that AI could potentially automate.
JPMorgan developed COiN (Contract Intelligence), an AI system using natural language processing and machine learning to analyze commercial loan agreements and extract relevant data points automatically. The system was trained on thousands of historical contracts, learning to identify key clauses, flag non-standard terms, and extract structured data for downstream systems. COiN integrated with the bank's loan processing workflow, automatically analyzing contracts and surfacing findings for human review.
“AI does not replace our lawyers — it makes them more effective by handling the routine so they can focus on the complex.”— Jamie Dimon, CEO, JPMorgan Chase
This case study is based on publicly available information about JPMorgan Chase.
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