Conversations with leading experts on how law is shaping powerful new AI technology and how AI is reshaping law. Join host, Joel Cohen and brilliant guests as they explore legal battles over IP rights within AI models, autonomous AI weapons, the legal ethics of AI, regulating AI as a monopoly, and more...
Guests include Professor Tanina Rostain of Georgetown Law Center, Professor Tejas Narechania of Berkeley Law, Professor Sham Balganesh of Columbia Law, and more... Executive produced by the legal education website www.talksonlaw.com.
Artificial intelligence is usually sold as productivity: faster research, faster drafting, faster answers. In this episode of New Law Order, Yale Law professor Scott Shapiro explains that the real story is power. If the law is a system for coordinating human behavior at scale, then tools that can interpret rules, test edge cases, and generate persuasive legal analysis may change who can navigate the system—and who gets steamrolled by it.The conversation also explores a darker symmetry: the same tools that help people comply with legal obligations can help sophisticated actors evade them. Shapiro sketches the emerging role of artificial intelligence as both compliance engine and exploitation engine—and what that means for the balance of justice when the best “legal hacker” is a machine.Shapiro draws a crucial distinction between generative models and rule-based systems. Generative tools can sound authoritative while being intentionally or accidentally wrong, which can present dangers. Rule-based approaches, by contrast, raise a different question: what happens when the logic is correct but the reasoning is no longer human-followable? At that point, “legal reasoning” starts to look more like an appeal to authority—raising uncomfortable issues about legitimacy, transparency, and trust.In this conversation:* Law as a Social Technology: why legal systems exist and what they are built to do* Generative Models versus Rule-Based Reasoning: reliability, hallucinations, and explainability in legal work* When Legal Reasoning Stops Being Human: what legitimacy requires when the logic becomes unreadable* Artificial Intelligence as Exploitation: using models to find loopholes, stress-test regulations, and “break” contractsGuest: Scott Shapiro is a Yale Law School professor and legal philosopher whose work explores the structure of legal systems and how technology changes the way law is interpreted and applied.This episode originally appeared on the TalksOnLaw podcast New Law Order, a series exploring the future of law in an age of AI and structural change in the legal industry.For more conversations with the figures reshaping the legal business, subscribe to New Law Order. For a CLE-eligible version of this interview and more legal analysis, visit www.talksonlaw.com. For questions or comments, email newlaworder@talksonlaw.com.
21 Oct 2025
AI Is Eroding the Right to Privacy
Guest: Prof. Daniel Solove, George Washington University Law School.Artificial intelligence is radically shifting how our personal information is collected, shared and analyzed — and our traditional privacy laws are scrambling to keep up. In this episode we sit down with privacy scholar Prof. Solove, a leading expert on privacy law, to explore how AI is exposing the limits of the American right to privacy. From the third‑party doctrine to the landmark decision in Carpenter v. United States, Solove traces how government reliance on privately‑gathered data enables surveillance to expand without constitutional oversight. He argues that the privacy framework built for discrete searches is ill‑suited to a world of continuous, AI‑driven streams of personal data. Tune in to understand where we are, how we got here, and what might come next for privacy in the AI era.Daniel Solove is a professor of law at George Washington University Law School and a leading scholar on privacy and data protection.For attorneys, a CLE version of this interview can be found at www.talksonlaw.com (https://www.talksonlaw.com) or by following this link (https://www.talksonlaw.com/talks/the-ai-threat-to-privacy).
10 Jan 2025
AI Market Domination and the Natural Monopoly Problem
This episode of the AI Lawyer Podcast explores the legal challenges of AI market concentration and competition with Berkeley Law Professor Tejas Narechania, an expert in telecommunications law and antitrust policy. As the costs of developing advanced AI models rise, Professor Narechania examines whether AI is headed toward a natural monopoly and what that means for fairness, innovation, and legal accountability.Will a small group of companies dominate AI development? What legal risks arise from monopolistic control over critical technologies? Professor Narechania breaks down the structural market forces driving AI consolidation and explains how antitrust laws, interoperability requirements, and public infrastructure models could shape the future of AI governance.In this conversation, host Joel Cohen engages with Professor Narechania on these pressing issues, ensuring a deep dive into the legal frameworks shaping the future of AI.Whether you’re a legal professional, policymaker, or tech enthusiast, this episode provides essential insights into the evolving relationship between AI, market power, and the law.
18 Dec 2024
"A Perfect Evidentiary Storm" – Deepfakes and AI in the Courtroom
Duke Law Professor and former U.S. District Judge Paul Grimm examines the intersection of AI and evidence law, revealing the need for evolving rules to counter the threats of undeniably real deepfakes and black-box AI in the courtroom.
3 Dec 2024
Fully Autonomous Weapons of War
Georgetown Law Professor Mitt Regan explores the ethics and legal implications of AI-enabled weapon systems, challenging IHL principles and highlighting the risks of automation bias and oversight gaps.
As AI models become more deeply embedded across industries, legal battles over how large language models (LLMs) are trained and the use of copyrighted material have taken center stage. Columbia Law Professor Shyam Balganesh delves into the complex legal issues surrounding AI and copyright, explaining how LLMs rely on vast datasets, including copyrighted works, to power their outputs. With high-profile cases like The New York Times v. OpenAI and Getty Images v. Stable Diffusion, courts are now weighing whether the use of copyrighted material in AI training falls under fair use or violates intellectual property rights.In this episode, Professor Balganesh discusses the technical intricacies of AI model training, the fair use doctrine’s role in AI litigation, and how the future may shift toward licensing models to resolve these disputes. Balganesh offers an inside look at the evolving legal landscape and what it could mean for the future of AI development.Shyam Balganesh (https://www.talksonlaw.com/speakers/professor-shyam-balganesh) is a professor of law at Columbia Law School. For attorneys, a CLE version of this interview can be found at www.talksonlaw.com or by following this link (https://www.talksonlaw.com/talks/ai-models-copyright-battles).
9 Aug 2024
Large Language Lawyers–A.I. Attorney Ethics
Increased adoption of AI by law firms raises questions about how lawyers can harness artificial intelligence consistent with their professional responsibilities. Georgetown Law Professor Tanina Rostain answers questions about the transformative impact of AI on law and how the rules of professional conduct apply to the new ways that attorneys are using AI tech to conduct research, draft documents, and interact with clients. As AI models show increasing proficiency in performing legal work, when may technology cross the line into unauthorized practice of law (UPL). Professor Rostain discusses what constitutes the “practice of law” when it comes to AI and suggests that the legal profession may eventually need to bend. According to Rostain, the benefits of AI for people who need legal assistance cannot be stifled by financial protectionism with superficial claims of protecting the public.Tanina Rostain (https://www.talksonlaw.com/speakers/professor-tanina-rostain) is a professor of law at Georgetown Law Center. For attorneys, a CLE version of this interview can be found at www.talksonlaw.com or by following this link (https://www.talksonlaw.com/talks/lawyers-llms-ai-ethics).
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Apple Podcasts (US)
5.0 / 5
7 ratings
Podcast Authority Score: 11 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
10
Social presence
0
YouTube
0
Engagement
32
Contact AI Lawyer
Guest appearances
Books guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of AI Lawyer?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show Podcast research with Pod Engine
