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JPMorgan Chase AI case studies

Browse 5 documented AI legal implementations at JPMorgan Chase. These source-extracted records passed the automated evidence gate; that is not independent fact verification.

Corporate Legal & In-House · Enterprise · 5 AI implementations

JPMorgan Chase has 5 documented AI legal implementations covering workflows including Contract Review & Analysis and technology including Natural Language Processing, Machine Learning & Predictive Analytics. The records below separate source-reported results from evidence the source did not provide.

Last updated
Maintained by
Peter KorpakLead Editor
Methodology
How evidence is checked
5
Case Studies
1
Use Case Types
2
Technologies

AI implementations at JPMorgan Chase

J
Corporate Legal & In-HouseContract Review & AnalysisMachine Learning & Predictive Analytics
Reported result:
360,000 hours/year (work COIN now performs) Annual Lawyer Hours on Loan Agreements
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.independent.co.ukSource link checked Automated evidence gate passed
J
Corporate Legal & In-HouseContract Review & AnalysisMachine Learning & Predictive Analytics
Reported result:
360,000 hours previously; now seconds Annual Contract Review Hours
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.311institute.comSource published Source link checked Automated evidence gate passed
J
Corporate Legal & In-HouseContract Review & AnalysisMachine Learning & Predictive Analytics
Reported result:
Reduced from 360,000 hours to seconds Annual Contract Review Time
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.productmonk.ioSource published Source link checked Automated evidence gate passed

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