Insights: Publications ChatGPT and E-Discovery: Match Made in Heaven or Rocky Roads Ahead?
LitSmart E-Discovery Blog
Previously, I co-authored a two-part post on the advantages and disadvantages of using Technology Assisted Review (“TAR”) in E-Discovery document reviews. TAR helps attorneys during the review phase of E-Discovery by deploying algorithms that can quickly classify documents based on training provided by expert reviewers. TAR can provide statistics, categorizations, and reporting information that a human reviewer simply could not do in a timely manner. The main takeaway from the previous articles was that TAR was not created to replace standard reviewing processes and protocols but instead was intended to streamline those processes so that reviews are more accurate, timely, and efficient. Of course, 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.
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