RenewData, a full-service eDiscovery provider that offers the industry’s broadest spectrum of review acceleration solutions, today announced the latest addition to its Language-Based Analytics family of offerings: Language-Based Content Filtering. This highly differentiated service will provide significant eDiscovery time and cost savings by quickly and accurately identifying documents that cannot possibly be relevant to a matter and providing an auditable record of why each document was set aside from further consideration for optimum defensibility.
Language-Based Content Filtering revolutionizes the way keywords are selected and applied in discovery by turning the process around. Instead of the traditional approach of making guesses in a vacuum on what keywords might be applicable to a matter, this approach ingests all words in a document collection and then provides a methodical framework for choosing the keywords from a pre-populated list. In short, it turns a fill-in-the-blank exercise into a multiple-choice exercise -- thereby delivering more comprehensive results with less cost and risk.
"Keywords are as applicable to eDiscovery today as they were many years ago, but it is clear that the way they are utilized needs to evolve to keep up with increasing data volumes and shorter timeframes,” said Joe Garber, vice president of marketing for RenewData. “Our language-based approach solves an important market problem – defensibly addressing escalating review costs – and has already delivered proven results for numerous high-profile clients. No other alternative can match its extensive benefits.”
Language-Based Content Filtering:
- Eliminates a significant number of false positives that result in wasted dollars and time during review.
- Provides greater assurance that relevant documents haven’t been missed by providing a logical framework in which documents can be precisely targeted.
- Delivers increased defensibility by ensuring all search terms are systematically considered, giving consistent results over time because it is systematic and repeatable.
- Provides an auditable record as to why each document was determined to be non-responsive.
- Enables better cooperation and negotiations with opposing counsel with a transparent and open process for collaboration.
- Ensures greater insight into the total document collection, allowing users to see the issues with which each document is associated.
Language-Based Analytics is a language-based approach to methodically narrow down any size of document collection to identify potentially relevant information in the early phases of eDiscovery. With a series of interrelated processes and technologies, organizations are able to quickly and cost-effectively analyze a document collection, understand what each document is about, and make important decisions based on this understanding.
To learn more about Language-Based Content Filtering, 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.
By Guest Blogger: Joseph Garber, RenewData Corp.
