The Proper Combination of the Different Approaches is Key to Optimized Review Workflow
ROCHESTER, NY ‒ June 20, 2012 ‒ D4, LLC, a national leader in litigation support and eDiscovery services to law firms and corporate law departments, today confirmed that there are three key technologies that law firms and corporate legal departments need to consider when utilizing predictive coding and/or technology assisted review (TAR-PC) approaches for eDiscovery.
“We see 2012 as a watershed year for predictive coding,” said D4 Vice President of Discovery Engineering, Tom Groom. “Keyword search, concept-based Technology Assisted Review and support vector-based Predictive Coding are the primary technologies that can be used to systematically prioritize documents. Each technology approach has merits on their own, but combining them into an optimized workflow specifically designed for each project’s unique set of requirements will yield much better results as well as provide the necessary underpinnings to withstand any litigation challenge.”
Groom added: “There is just too much compelling evidence that TAR-PC significantly reduces cost, increases quality and squeezes days out of the review cycle”. The idea that exhaustive human manual review is the most effective approach to document review is strongly refuted in the Grossman and University of Waterloo study.* TAR-PC can and does yield more accurate results than exhaustive human manual review, with much lower effort and cost. The study concludes:
•TAR-PC finds at least as many responsive documents as exhaustive manual review (meaning recall is at least as good as manual review).
•TAR-PC is more accurate than exhaustive manual review (meaning that precision is much better than manual review).
•TAR-PC is orders of magnitude more efficient than manual review (meaning that it is quicker and less expensive than manual review).
D4 emphasizes that there is no one standard workflow for using the three approaches. Optimal results are obtained through consultation with skilled and experienced professionals who understand where, how and when these tools best fit for any given document population.
D4 outlines in detail the three approaches in its recently published whitepaper entitled: Three Methods for eDiscovery document Prioritization: Comparing and Contrasting Keyword search with Concept Based and Support vector Based Technology assisted review-Predictive Coding Platforms.”
Download the D4 whitepaper on predictive coding here.
To speak with a D4 executive on the applications and benefits of predictive coding, please call 1.800.410.7066 or email firstname.lastname@example.org.
The referenced study is: Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient than Exhaustive Manual Review, Richmond J. of Law & Tech., Vol. XVII, Issue 3, 1-48 2011.
About D4, LLC
D4, LLC is the national leader in litigation support and eDiscovery services to law firms and corporate law departments. D4 covers the spectrum of the Electronic Discovery Reference Model (EDRM), from identification and preservation of data through forensic and targeted onsite data collection and from data analytics and defensible search methodology through hosted review and production. D4 assists attorneys in litigation response planning, strategies for negotiation of scope and meet-and-confer, computer forensics, expert testimony, cost reduction litigation support projects and in corporate law department operations. The company was founded in 1997 and has offices throughout the country. Visit www.d4discovery.com for more information.
Vice President of Marketing, D4