From descriptions to discussions to diatribes, many individuals and organizations have attempted to inform and influence opinion in regard to the recent predictive coding related transcripts, objections, declarations, opinions and orders in the matter of Da Silva Moore v. Publicis Groupe & MSL Group, No. 11 Civ. 1279 (ALC) (AJP) (S.D.N.Y).
To help individuals form their own opinion in regard to predictive coding in relation to this matter from the original court documents, provided below is a single PDF document that consolidates key individual court documents into a single source for ease of study and consideration.
Document Index: Combined PDF of Key Documents Highlighting Judicial Consideration of Predictive Coding through the Lens of Da Silva Moore v. Publicis Groupe & MSL Group, No. 11 Civ. 1279 (ALC) (AJP) (S.D.N.Y).
PDF Download (Updated 04/11/2012)
Source: Public Domain
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Taken from a combination of public market sizing estimations as shared in leading electronic discovery reports, publications and posts over time, the following eDiscovery Market Size Mashup shares general worldwide market sizing considerations for software and services in the electronic discovery market for the years between 2015 and 2020.
When Maura Grossman speaks, people listen. In 2011, she was already known as a leading e-discovery attorney and litigator. But her influence exploded when she released research with co-author Gordon Cormack, a computer science professor at the University of Waterloo in Ontario, that concluded software using predictive-coding technology can do as good a job of sifting through documents as human reviewers.
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