Trends Report

Protect Your Customers With Technology-Assisted Review

How Machine Learning In eDiscovery Prevents Disclosure Of Confidential Data

June 24th, 2016
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Nasry Angel
With contributors:
Cheryl McKinnon , Mike Gualtieri , Boris Evelson , Michele Goetz , Gene Leganza , Alex Kramer , Shreyas Warrier

Summary

Parsing through documents in eDiscovery is like opening Pandora's box. If this information is mishandled, it can expose sensitive customer data or reveal competitive secrets. But technology-assisted review (TAR) helps firms safeguard their content. Machine learning injects analytics into the process and provides a continuous feedback loop for safer, faster, and better reviews. This report helps enterprise architects understand how machine learning algorithms significantly improve eDiscovery for stakeholders in their risk and legal departments.

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