TrialKit and the End of Impossible Discovery

What happens when discovery becomes too large for any lawyer, or even any team, to meaningfully review?  In Episode 21 of the AAAi Podcast, Bridget McCormack and Zach Abramowitz speak with Ariel Deshe, founder of TrialKit, about the criminal defense case that led him to build the platform and what it reveals about the future of legal AI.  The conversation explores the sheer volume of modern discovery, wrongful convictions, and how AI is helping lawyers take on cases that were previously too costly or too complex. Bridget also connects these issues to the broader vision behind the AAA's AI Arbitrator: expanding resolution options for disputes that often go unresolved because traditional processes are too expensive or impractical.  Ariel explains why criminal defense lawyers have been quick to embrace technology that can uncover critical evidence hidden within overwhelming volumes of data, in cases where the stakes are immediate and deeply human.  Episode 21 highlights a version of legal AI that often gets overlooked, showing how it can help lawyers do work that is otherwise practically impossible under the weight of modern discovery and rising legal costs.