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JPMorgan Chase

Contract Intelligence: Automating 360,000 Hours of Legal Review

360,000 lawyer hours saved annually
$150M+ in annual savings
Processing time: hours → seconds
Error rate reduced vs. manual review

The Problem

JPMorgan Chase processes 500,000+ commercial loan agreements per year. Each document required manual legal review, consuming an estimated 360,000 lawyer-hours annually with risk of human fatigue errors.

The Solution

Built the Contract Intelligence (COIN) platform using NLP and machine learning to automatically review and interpret commercial loan agreements. The system extracts key data points, identifies exceptions, and flags unusual clauses.

The Outcome

COIN now reviews documents in seconds that previously took lawyers hours. $150M+ in annual savings. Error rate reduced significantly, and lawyers can focus on complex judgment calls.

Key Metrics

  • 360,000 lawyer hours saved annually
  • $150M+ in annual savings
  • Processing time: hours → seconds
  • Error rate reduced vs. manual review
FinanceNLPLegalAutomationContract Review