Over the course of this survey, we have taken an in-depth look at a dozen cases and touched briefly on eleven others. Together, these twenty-three cases have provided us with an effective overview of the technology-assisted review case law landscape, including what’s been settled and what remains unresolved. We conclude our survey with a discussion of the five key takeaways we can derive from our review of these cases.
Before we conclude our survey of technology-assisted review cases, there are a handful of additional cases worth noting that did not warrant full posts of their own. Specifically, there are three more early cases, three more recent cases, and five international cases worth noting.
The next prominent technology-assisted review case requiring our attention is Winfield v. City of New York (S.D.N.Y. Nov. 27, 2017). The case wound up before the Magistrate Judge for the resolution of a variety of discovery disputes, including the Plaintiffs’ challenges to the City’s TAR process and their attempts to compel additional transparency regarding that process.
The next major TAR case for us to review is the third and final prominent case on the topic from Magistrate Judge Peck. In Hyles v. New York City (S.D.N.Y. Aug. 1, 2016), a series of discovery delays and conflicts led to the referral of the case to Magistrate Judge Peck, who resolved a number of discovery questions for the parties, including the question of whether a requesting party can compel a producing party to use TAR.
Our monthly legal eDiscovery news round-up features the importance of custodian interviews, ongoing challenges with GDPR compliance, and some new and future privacy laws in the United States, as well as recent cases, publications, and XDD content.
The next prominent TAR case was Rio Tinto PLC v. Vale, S.A., et al. (S.D.N.Y. Mar. 2, 2015), which was another decision from Magistrate Judge Peck. This is another case in which the parties reached an agreement about the use of TAR, but the Magistrate Judge’s order accepting their agreement still provides an excellent summary of the state of TAR acceptance as of spring 2015, after the first three years of cases.
The next TAR case to make headlines was Dynamo Holdings Limited Partnership, et al., v. Commissioner of Internal Revenue (USTC Sep. 17, 2014), which was a U.S. Tax Court case. The case was the first in which the U.S. Tax Court approved the use of technology-assisted review, and it addressed the question of whether prior approval for TAR use should be sought.
We turn our attention next to two cases that both concerned attempts to switch from a traditional approach to a TAR approach midstream and that considered whether TAR should be applied after search terms have already been used. Those cases are Progressive Casualty Insurance Company v. Delaney (D. Nev. Jul. 18, 2014) and Bridgestone Americas, Inc. v. International Business Machines Corp. (M.D. Tenn. Jul. 22, 2014).
The next prominent TAR case was In Re: Biomet M2a Magnum Hip Implant Products Liability Litigation (N.D. Ind. Aug.21, 2013), which was consolidated multidistrict product liability litigation. The litigation was eventually settled, but not before substantial discovery work was done and two orders concerning the use of TAR were issued.
The next newsworthy TAR case was EORHB, Inc. v. HOA Holdings LLC (Del. Ch. Oct. 15, 2012), which was “a complex multimillion dollar commercial indemnity dispute” before the Delaware Court of Chancery, the oldest business court and one of the most respected business courts in the country. In October 2012, in a hearing in this case, the Judge brought up the subject of technology-assisted review on his own and directed the parties to use it.
The next significant TAR case was In Re: Actos (Pioglitazone) Products Liability Litigation (W.D. La. Jul. 27, 2012), which provided the first on-the-record example of a TAR protocol successfully and cooperatively negotiated by the parties. It provided for testing of suitability before the full effort, plans for transparency and cooperation throughout the effort, and validation steps to measure the success of the effort.