Technology Assisted Review

In today’s “e”-dense world, attorneys often look to leverage technology to facilitate production of electronically stored information (“ESI”) during the discovery process.  We do so in an effort to streamline the collection, review and production process whereby containing costs.  However, as recent decisions demonstrate, parties often disagree on what methodology to use and which analytic

Generally, the party producing discovery bears the costs of production. But, shifting to the non-producing party the costs of production is sometimes warranted.  This issue was recently tackled by a Kansas District Court in the matter Lawson v. Spirit AeroSystems, 2020 WL 3288058 (D. Kan. June 18, 2020).

Background

Following his retirement from Spirit

Technology has revolutionized, among other things, the way people conduct business, store information and communicate with others.  And, despite the many efficiencies and benefits of technology, a downside of this “revolution” is the creation of countless files that may later be subject to review and potential production during litigation /investigation proceedings.  Indeed, even relatively small

Rule 1 of the Federal Rules of Civil Procedure calls upon courts and litigants to “secure the just, speedy, and inexpensive determination of every action and proceeding.” And so, it comes as no surprise that technology assisted review (“TAR”) is being widely embraced by the legal profession.

What is TAR?

TAR (also called predictive coding,

Traditional document review can be one of the most variable and expensive aspects of the discovery process.  The good news is that there are innumerable analytic tools available to empower attorneys to work smarter, whereby reducing discovery costs and allowing attorneys to focus sooner on the data most relevant to the litigation.   And, while various

In Hyles v. New York City et. al., (Case No. 10-3119, 2016 U.S. Dist. LEXIS 100390 [S.D.N.Y. Aug. 1, 2016], the plaintiff, an African-American female employed by the City of New York, was demoted.  Specifically, she was replaced by a white male and demoted to a different position with a lesser salary.  Ultimately, plaintiff

Today’s post draws upon countless other recent articles and blogs and their respective predictions regarding, what’s in store for 2016 when it comes to e-discovery.  I have tried to synthesize below, the steps that I believe every litigator should embrace for the coming year.

First, learn the new rules of civil procedure. The amended Federal

A little more than three years ago, federal Magistrate Judge Andrew J. Peck (SDNY), issued a seminal decision in Da Silva Moore v. Publicis Groupe & MSL Group, 11 Civ. 1279 (February 24, 2012).  Indeed, in that ruling, Judge Peck sent a message that predictive coding and computer assisted review is an appropriate