KTLitSmart

As the amount of electronically stored information (“ESI”) continues to grow at an exponential rate, basic E-Discovery knowledge becomes increasingly essential for litigators and legal professionals alike across a variety of practice areas. And yet, it does not appear that law schools are keeping up with E-Discovery’s ever-growing consequence. While a handful of law schools do offer standalone E-Discovery courses, it is far from the norm. Mere passing references to E-Discovery in higher education are inadequate to prepare future lawyers for the realities of the legal profession in this digital age.

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.

As part of the e-discovery process, we use digital means to identify relevant information for use in a legal proceeding. The proceeding may be a large-scale medical malpractice lawsuit, a patent infringement case, a government investigation, or countless other legal actions. However, the skills and resources used in those types of matters can also be used in other areas.

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.