RenewData^® Launches Language-Based Review Acceleration Offering

AUSTIN, Texas--(BUSINESS WIRE)--RenewData, a full-service eDiscovery provider that offers the industry’s broadest spectrum of review acceleration solutions, today announced another addition to its Language-Based Analytics family of offerings: Language-Based Review Acceleration.

“Today’s technology solutions are adept at addressing the former, but fall short on the latter. RenewData’s Language-Based Review Acceleration now addresses both critical objectives, establishing it as the next generation of Technology-Assisted Review.”

A key feature in this offering is Cross-Document Knowledge Extraction, which is unmatched in the industry. The output of other review solutions is simply a subset of documents from the collection that might be relevant, but which requires additional analysis in order to learn more about each document’s content. Cross-Document Knowledge Extraction adds deeper insight into these results, yielding a better categorization of results that can lead to strategic advantages and additional cost savings.

“The objective of document review is really twofold: understanding what documents may be relevant and understanding what those documents are about,” said Andy Kraftsow, chief scientist for RenewData. “Today’s technology solutions are adept at addressing the former, but fall short on the latter. RenewData’s Language-Based Review Acceleration now addresses both critical objectives, establishing it as the next generation of Technology-Assisted Review.”

Language-Based Review Acceleration is uniquely able to deliver Cross-Document Knowledge Extraction because it leverages language to understand content. As a result, it delivers:

• Deep insight into each issue.
• Rapid recognition of sub issues in the matter.
• Visibility into what additional documents can be set aside.
• Unmatched insight into issue-relevant language in summary form.

Language-Based Review Acceleration is an alternative to artificial intelligence-powered solutions that use brute technical force and pattern matching to “predict” document relevance. It delivers similar time and cost savings as these alternatives, as well as Cross-Document Knowledge Extraction, superior transparency into coding decisions, better control and auditability and the ability to re-use work product from one project to the next.

To learn more about Language-Based Review Acceleration and Cross-Document Knowledge Extraction, go to http://www.renewdata.com or visit RenewData at LegalTech New York, January 29-31, 2013. RenewData’s booth at LegalTech is #310, and executives will be on site in a SkySuite to discuss this news in greater detail. Click here to register for an executive one-on-one session.

About RenewData

RenewData is a full-service eDiscovery provider that helps corporations and law firms achieve significant time and cost savings, attain a high level of defensibility and reliability, and easily manage multiple projects for legal, regulatory and investigative matters. The company has a deep history building and applying advanced technology for eDiscovery, and has a particular expertise in review acceleration, delivering the industry’s broadest spectrum of solutions to expedite analysis of large collections of data. Of particular note, RenewData’s Language-Based Analytics offerings uniquely accelerate review without relying on artificial intelligence, delivering dramatic savings with a high level of knowledge extraction as well as transparency and insight into reviewer decisions. For more information, visit www.renewdata.com, or call 888.811.3789.