
In our latest Clarity podcast, Natalie Runyon, Content Strategist for the Human Side of AI at the Thomson Reuters Institute, sits down with Jonah Perlin, Professor of Law in the Legal Practice at Georgetown Law, to unpack whether generative AI is eroding legal writing and research skills or exposing how those skills should have been taught all along.
Jonah Perlin, who teaches first-year legal practice and advanced legal writing at Georgetown Law, joins TRI's Natalie Runyon to explore what it actually takes to build sound legal research, writing and judgment skills today, why he hasn't seen the skills degradation many fear, and how legal education needs to evolve so students learn to think like lawyers, not just prompt like one.
Why you should listen:
- A contrarian, evidence-based take — While much of the discourse assumes AI is hollowing out legal skills, Perlin offers a firsthand classroom counter-narrative and explains how he verifies where AI reasoning breaks down, from faulty citations to unsupported arguments.
- Lessons from history, applied to now — Perlin has studied how past technological shifts reshaped the legal profession, and now he translates those lessons into practical guidance for law schools and legal employers navigating AI adoption today.
- A five-year forecast you can plan around — Drawing on his own classroom experience and conversations with lawyers across the profession, Perlin offers predictions on where legal research and writing pedagogy is headed, which is essential listening for legal educators, professors, and anyone hiring new associates.
Follow us on social
Have questions?
Get in touch with one of our solutions experts....

Featured Event
October 15, 2026
Trust by Verify: Catching Errors in AI Output Before They Reach the Court or Client
.jpg)
Sign up and stay informed with our weekly insights and trends newsletter
Oops! Something went wrong while submitting the form.