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Continuous Active Learning Buyer Case Study: Catalyst and a Top 100 Law Firm

Continuous Active Learning Buyer Case Study: Catalyst and a Top 100 Law Firm

This IDC Buyer Case Study examines how a global law firm (the Firm) is using Catalyst's Insight Predict, an advanced technology-assisted review (TAR) solution, to gain efficiencies during legal review processes and create additional value for its clients. Insight Predict has a distinctive take on TAR, utilizing learning algorithms and cloud-based infrastructure that has been custom designed to support the heavy computational requirements of a continuous active learning (CAL) protocol.

Today, the Firm would implement Insight Predict during future matters and where appropriate.

Please Note: Extended description available upon request.


IDC Opinion
In This Buyer Case Study
Situation Overview
Organization Overview
Challenges and Solution
Cost and Efficiency
Transparency
Other Considerations
Use Case 1
Use Case 2
Results
Implementation Challenges
Essential Guidance
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Related Research
Figure: CAL Versus Linear Review
Figure: CAL Learning Process

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