JPMorgan Chase’s AI Slashes 360,000 Hours of Contract Review, Saving Millions
JPMorgan Chase implemented an AI-powered system called COiN to streamline its contract review processes.
Problem Statement
JPMorgan Chase struggled with time-consuming and error-prone manual review of complex legal documents.
Goal
Develop an AI-powered system to automate and streamline contract review processes.
Challenges
Training AI models to understand complex legal language and concepts
Ensuring the accuracy and reliability of AI-generated contract analyses
Integrating the AI system with existing legal workflows and processes
Actions
Developed a private cloud network to power the AI system Source
Implemented unsupervised machine learning algorithms to analyze and categorize contract clauses
Utilised image recognition technology to compare and distinguish between different agreements
Invested heavily in hiring top AI talent and partnering with high-profile startups
Allocated significant resources ($350 million) to prepare the workforce for AI-driven changes
Key Results
Dramatic Time Savings
The AI system can review complex legal documents in seconds, a task that previously took 360,000 hours of human labour annually.
Increased Accuracy
By using natural language processing algorithms, COiN extracts key information from legal documents with high precision.
Cost Reduction
The automation of contract review has significantly reduced the need for manual legal reviews.
Impact:
Accelerated contract negotiations and reduced time required for legal reviews.
Improved efficiency in handling complex financial agreements.
Freed up legal professionals to focus on more strategic tasks.