The legal world has long relied on technology-assisted review (TAR) as a trusted tool for e-discovery. For years, TAR helped legal teams manage the overwhelming volume of documents, narrowing down relevant information and streamlining the discovery process. But as the complexity of data grows and the demands for accuracy and efficiency increase, a new contender has entered the scene: generative AI (GenAI). This groundbreaking technology is poised to redefine document review, addressing the gaps TAR struggles to fill.

The Limitations of TAR: A Solid Tool, but Not Without Flaws


TAR emerged as a game-changer in e-discovery, leveraging supervised machine learning to classify documents into categories like relevant or irrelevant. Its promise of efficiency revolutionized how legal teams approached discovery, but as the data landscape evolved, so too did the cracks in TAR’s capabilities.