Integreon Cuts Contract Review Time 40% Migrating 3,000 Contracts to a New CLM with Litera Kira

Integreon deployed Machine Learning & Predictive Analytics for Contract Review & Analysis in Legal Technology & Services. As reported by www.casestudies.com: 40% reduction contract review time.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
40% reductionContract Review Time
70-85%First-Level Extraction Accuracy
~3,000 contractsContracts Processed

Source-reported figures — cited source: www.casestudies.com

What Integreon was trying to fix

Integreon, a global legal department transformation provider, was engaged to help a global ride-sharing company migrate contract data into a new CLM system. The task required extracting metadata from a database of over 3,000 contracts spanning about 50 document templates, on a tight six-week timeline.

What Integreon deployed

As a certified Litera Kira service provider, Integreon used Kira's machine-learning contract analysis software, applying out-of-the-box provision models and training client-specific models with the Quick Study feature. The team ingested documents via SFTP, ramped a ten-attorney team quickly, and delivered upload-ready Excel output for the new CLM system.

Results

The engagement processed roughly 3,000 contracts, reduced overall contract review time by 40%, and achieved first-level extraction accuracy of 70-85%. Integreon delivered a rapid go-live within the six-week deadline, providing the client with clear time and quality improvements.

Key Takeaways

  • Combining out-of-the-box models with Quick Study-trained, client-specific models let a certified provider hit a tight six-week data-migration deadline.
  • ML-assisted extraction paired with rapid attorney team scaling (10 attorneys) cut overall contract review time by 40%.
  • First-level extraction accuracy of 70-85% was sufficient to produce upload-ready output for the client's new CLM system.

Evidence for Integreon's Contract Review & Analysis deployment

Reported outcome metrics
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