This week, we’re sharing a timely episode from a related TalksOnLaw podcast, AI Lawyer. In this episode, host Joel Cohen is joined by Judge Paul Grimm for a conversation about one of the most unsettling problems facing the legal system: what happens when audio, video, and other forms of evidence can be generated, manipulated, or challenged by artificial intelligence?
Judge Grimm explains how AI is already affecting the justice system long before trial, from predictive policing and facial recognition to risk-assessment tools like COMPAS. The episode explores how these systems can influence investigations, charging decisions, sentencing, and the presentation of evidence in court, often with serious consequences and imperfect transparency.
The conversation then turns to deepfakes and synthetic evidence: the growing reality that highly convincing fake audio and video can distort proceedings, while the mere existence of deepfakes makes it easier to deny real evidence too. Joel and Judge Grimm unpack the evidentiary challenges this creates for judges, lawyers, and juries, including questions of authentication, reliability, prejudice, and whether existing evidence rules are equipped to handle these technologies.
At bottom, this is a conversation about trust, proof, and the future of adjudication. As courts confront black-box systems and increasingly sophisticated digital deception, Judge Grimm offers a sober but practical look at how judges can use existing legal frameworks while the law struggles to catch up.
Guest: Judge Paul Grimm is a former federal district court judge and a professor of law at Duke Law School who has written extensively on evidence, technology, and artificial intelligence.
For more conversations with top thinkers at the intersection of law and technology, subscribe to New Law Order. For more legal analysis and CLE-eligible content, visit TalksOnLaw. To listen to more episodes of AI Lawyer, search for AI Lawyer wherever you get your podcasts.
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