The EDRM White Paper Series

Introducing The EDRM White Paper Series:

  • White papers about electronic discovery and information management
  • Prepared by leaders in the field
  • Evaluated by EDRM participants prior to publication
  • Published on the EDRM site on a non-exclusive basis, in keeping with the Creative Commons Attribution 3.0 United States License
Unless otherwise noted, all opinions expressed in the EDRM White Paper Series materials are those of the authors, of course, and not of EDRM, EDRM participants, the author's employers, or anyone else.

The EDRM White Paper Series:

Date Title Authors
April, 2014 Disposing of Digital Debris  EDRM & CGOC
June, 2013 Control Sets: Introducing Precision, Recall, and F1 into Relativity Assisted Review kCura Corporation
February, 2013 Measuring and Validating the Effectiveness of Relativity Assisted Review By Dr. David Grossman, Ph.D., prepared for Relativity
February, 2013 Predictive Ranking: Technology Assisted Review Designed for the Real World Jeremy Pickens, Senior Applied Research Scientist, Catalyst Repository Systems
July, 2012 EDRM XML White Paper
July, 2012 Workflow for Computer-Assisted Review in Relativity kCura Corporation
December 20, 2011 How the IGRM Complements ARMA's Principles ARMA International and EDRM’s IGRM Project Team
December 8, 2010 E-Discovery Research Roundtable: Buyers’ Perspectives on Challenges and Solutions Jeffery Fehrman and Eric Feistel, with Integreon
October 5, 2010 Smarter Evidence and Discovery Management Chris Paskach, Adam Beschloss and Steve Stein, all with KPMG
October 5, 2010 Compliance With E-Discovery Demands In U.S. Non-Criminal Law Enforcement Investigations David Charles Shonka, Principal Deputy General Counsel, Federal Trade Commission
September 17, 2010 The E-Discovery Maturity Model Adam Hurwitz, BIA CIO, Business Intelligence Associates, Inc.
August 26, 2010 The Reality of Native Format Production and Redaction Christine Musil, Director of Marketing, Informative Graphics Corporation
July 21, 2010 Once is Not Enough: The Case for Using an Iterative Approach to Choosing and Applying Selection Criteria in Discovery Gene Eames, David J. Kessler and Andrea L. D’Ambra