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E-Discovery & Document Review in Litigation & Disputes

24 documented E-Discovery & Document Review implementations in Litigation & Disputes. Source-extracted; not independently verified.

This evidence set isolates E-Discovery & Document Review deployments within Litigation & Disputes. The records below identify the implementing organization, technology and vendor when reported, source-reported results, cited source, and missing evidence explicitly.

Last updated
Maintained by
Peter KorpakLead Editor
Methodology
How evidence is checked
24
Case Studies
1
Vendors

Documented E-Discovery & Document Review implementations in Litigation & Disputes

L
Litigation & DisputesE-Discovery & Document ReviewMachine Learning & Predictive Analytics
Reported result:
89% of 200,000-document corpus Document Review Eliminated
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.consilio.comSource link checked Automated evidence gate passed
G
Litigation & DisputesE-Discovery & Document ReviewMachine Learning & Predictive Analytics
Reported result:
105,300 Overlapping Documents Identified (5 Matters)
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.lighthouseglobal.comSource link checked Automated evidence gate passed
E
Litigation & DisputesE-Discovery & Document ReviewMachine Learning & Predictive Analytics
Reported result:
105,300 Overlapping Documents Identified (5 Matters)
Deployment timeframe:
Not reported by source
Technology:
Machine Learning & Predictive Analytics
Vendor:
Not available in record
Cited source: www.lighthouseglobal.comSource link checked Automated evidence gate passed
M
Litigation & DisputesE-Discovery & Document ReviewLarge Language Models & Generative AI
Reported result:
90% Video Analysis Time Reduction
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.techandjustice.bsg.ox.ac.ukSource link checked Automated evidence gate passed
A
Litigation & DisputesE-Discovery & Document ReviewLarge Language Models & Generative AI
Reported result:
50–67% reduction (one-quarter of the personnel) Document Review Time Reduction
Deployment timeframe:
Not reported by source
Technology:
Large Language Models & Generative AI
Vendor:
Not available in record
Cited source: www.everlaw.comSource link checked Automated evidence gate passed

Related Pages

All AI in Litigation & DisputesAll E-Discovery & Document Review implementationsAll Industries