White Papers

Reducing the Risk and Cost of Litigation: An eDiscovery Project from Start to Finish

  • White Papers
  • Technology

With the dramatic growth in digital information, corporations and legal teams need new tools to reduce cost and risk. Review for relevance is the single biggest cost in discovery, making up an average 73 percent of the budget according to a recent RAND study.

Technology-assisted review, also known as TAR or predictive coding, incorporates well-known technologies from information retrieval science and brings them to bear on the problem of identifying relevant and non-relevant documents. An authority on what is relevant in a matter trains a machine learning system by reviewing a small number of documents. The system then ranks any number of documents at speeds of approximately 150,000 documents per hour. The quality and consistency of the result exceeds in most cases what a team of experienced reviewers can accomplish if money and time were not a factor. The results are tested and validated through statistical sampling.

Read this white paper for how TAR can reduce cost and risk for corporations and legal teams.

Download Whitepaper

If you're ready to transform your organization's operations for greater efficiency and productivity while maintaining high quality and compliance standards...
It's Time to Partner with Epiq Logo White
Request Meeting
By continuing to browse and accepting this banner, you consent to the storing of first and third-party cookies on your device to enhance site navigation, analyze site usage, and assist in Epiq’s marketing efforts. Read more on our cookie notice.  

© 2022 Epiq. All rights reserved.