The traditional privilege logging process has long been synonymous with burden, inefficiency, and resource drain. It is a complex and time-consuming undertaking that can strain even the most seasoned legal professionals.

For at least a decade, litigation teams have leveraged technology such as machine learning to streamline and improve the e-discovery process. Predictive coding tools like TAR (technology-assisted review) and CAL (continuous active learning) have significantly streamlined the identification of relevant documents. The advent of generative AI represents another significant leap forward, offering litigators an entirely new realm of possibilities to boost efficiency and effectiveness. Given their prior experience with machine learning technology, e-discovery teams and technology-forward litigators are well-positioned to adopt generative AI tools, remembering that these tools are not silver bullets, but rather applications that can handle appropriate parts of a workflow very well.