E-Discovery Best Practices

A motion for an adverse inference was denied in Pratt v. Robbins, et al. where Defendants failed to preserve or produce a video that might have contained pivotal evidence going to the heart Plaintiff’s civil rights claim for excessive force.  Plaintiff argued that Defendants spoliated evidence by failing to produce the video footage that may have recorded the use of force at issue.   A party seeking spoliation sanctions bears the burden of proving all of the elements of Rule 37(e), and under Fourth Circuit precedent is generally held to a clear and convincing standard. Plaintiff’s decision to suddenly cry foul on the eve of trial did not go over well with the Court.

Sunlight Financial L.L.C. v. Hinkle, et al., 2022 WL 17487686 (S.D.N.Y. Dec. 7, 2022) highlights the importance of negotiating strong stipulation orders that protect your client's interests. In this case, the Stipulated Amended Preliminary Injunction Order was overly broad and failed to carve out information that the defense believed to be the confidential, proprietary, or trade secret information of third parties. As a result, the corporate defendant was required to produce documents for forensic examination that had questionable relevance to the specific allegations of the Plaintiff and exposed the defendant to potential future litigation.

New technologies are being created and utilized every year. The most significant developments lately are the rise of chatbots - software applications that allow for online chat conversation via text or text-to-speech, without any direct contact with a human operator. Currently, the chatbot garnering the most attention is OpenAI’s ChatGPT program. This article will focus on this technology and how it works either for or against the E-Discovery review process.

An MBA professor of mine used to be fond of saying “data drives decisions.” His point was that the more information you could get, the more informed the decision you could make. In the context of document review, daily reports can be a timely and efficient method of communicating that critical information. The first few days, and even weeks, of any document review project are full of questions and uncertainty. Does the mere mention of a term make the documents responsive? How substantive does the document have to be to be considered “hot”? Am I tagging too many documents as “not responsive”? One way to gauge whether a document review is on the right track is by having the people reviewing the documents submit daily reports describing what they are seeing and how they are coding those documents.

Artificial intelligence chatter on the internet seems to be everywhere in the new year.  In January, a startup announced that an artificial intelligence-powered “robot lawyer” would represent its first defendant in court over a traffic ticket this February in California. The plan, seemingly unguided by human lawyers, came to an abrupt halt in the wake of threats from multiple state bars. But no need to plan a career change just yet – the startup announced last week it was shifting its focus from legal services to consumer rights. Until A.I. replaces us outright, the following are some interesting ways A.I. is making waves in the legal profession. 

In Part Two of this blog series, I discuss a recent case regarding noncompliance with preservation provisions in an ESI protocol and provide best practices for negotiating and drafting an ESI protocol. In Part One of this series (which you can find here), I analyzed how courts have resolved ESI protocol disputes with TAR and metadata provisions.