EDRM Introduces Search Intent Framework

Global News

01
Jul
2014

Editor

Model defines different classes of search intent that comprise the EDRM

EDRM, the leading standards organization for the e-discovery market, announces the release of the EDRM Search Intent Framework. The term “search” is used interchangeably in records management, archiving and e-discovery, but not all searches are similar as some have more legal impact than others.

The new framework was developed to define and document various types of search intent that are part of the EDRM.

Within the EDRM, “search” is used broadly in many contexts: to assess or scope a matter, acquire specific documents or discrete information or classify preselected documents; these have minimal legal impact. For other EDRM searches, the legal impact is high, such as in asserting comprehensiveness and accuracy. Enterprise search, early data assessment, e-discovery processing search functions, review system search functions and even concept analysis or document clustering tools are all described as “search” in the context of the EDRM, with little recognition that poor accuracy in one context is more consequential than in others.

The intent of any search is what determines the appropriate technology, process or workflow that should be implemented and the level of scrutiny to be applied in determining “reasonable” success. The EDRM Search Intent Framework was developed to define and document the different classes and subclasses of search intent that comprise the EDRM.

The Search Intent Framework is the result of considerable time and effort by members of the EDRM Search Team, led by Dominic Brown (HP Autonomy). Contributors include Gene Eames (Pfizer), Chris Paskach, Phil Strauss, Mark Lindquist, Wade Peterson (Bowman and Brooke), Brent Larson (Bowman and Brooke). 

The new EDRM Search Intent Framework is available on the EDRM website.