Technology companies are rapidly deploying legal tools powered by generative Artificial Intelligence that promise to streamline research and drafting for lawyers. These systems can quickly generate legal arguments, summarize documents, and suggest citations, offering significant time savings for litigants and law firms seeking to manage growing workloads and client demands. The speed and scale of these tools are reshaping expectations around how legal work can be performed and delivered.
At the same time, reliance on generative Artificial Intelligence has already produced serious missteps in litigation practice, most notably sanctions rulings against parties that submitted briefs containing Artificial Intelligence fabricated legal citations. Courts have responded by scrutinizing how attorneys supervise the use of these tools and verify the accuracy of outputs, signaling that delegation of core legal judgment to generative Artificial Intelligence is incompatible with professional obligations. These early sanctions decisions underscore that efficiency gains do not excuse failures in diligence or candor to tribunals.
The growing integration of generative Artificial Intelligence into legal workflows also raises complex issues for maintaining attorney client privilege and work product protections. When confidential client information is entered into Artificial Intelligence driven platforms, questions emerge about how that data is stored, who may access it, and whether disclosure to third party providers could be argued to waive privilege. Law firms and in house legal departments must therefore evaluate technical settings, contractual terms, and usage policies for generative Artificial Intelligence tools to ensure that any efficiency benefits do not compromise the confidentiality that underpins privileged legal communications.
