There’s been plenty of discussion about how GenAI might boost lawyers’ efficiency. But does it actually help lawyers deliver work faster?

In this episode of the Future Ready Lawyer podcast, we’re joined by Dr. Joshua Yuvaraj, Senior Lecturer at Auckland Law School and Co-Director of the New Zealand Centre for Intellectual Property, to discuss his paper, “The Verification Value Paradox: A Normative Critique of GenAI in Legal Practice.”

Yuvaraj proposes a simple test: AI’s net value equals the time saved minus the cost of verifying its work. In legal practice, however, using AI to gain efficiency can demand more verification, given lawyers’ strict duties to courts and clients. He explains how GenAI can be unreliable and opaque, creating risks that go well beyond fake citations, including subtle errors about what cases actually say.

We compare AI review to supervising junior lawyers, examine what “good enough” might mean in AI x legal work, and explore real-world examples of AI implementation in legal process (including Garfield AI). The conversation also touches on liability and insurance questions, and why legal expertise and AI literacy matter more than ever.

Dr. Joshua Yuvaraj, Faculty webpage https://profiles.auckland.ac.nz/joshua-yuvaraj

Linkedin https://www.linkedin.com/in/joshuayuvaraj/

The Verification-Value Paradox https://arxiv.org/abs/2510.20109

'Lawyers, think hard before you use AI' (Newsroom NZ, 7 Nov 2025): https://newsroom.co.nz/2025/11/07/lawyers-think-hard-before-you-use-ai/

Other mentions:

Deloitte AI incident https://www.theguardian.com/australia-news/2025/oct/06/deloitte-to-pay-money-back-to-albanese-government-after-using-ai-in-440000-report

Garfield Human versus AI experiment https://www.garfield.law/press/garfield-ai-featured-on-channel-4-dispatches-human-vs-ai-experiment

Professional Legal Training Bell CJ speech PDF (28 Aug 2025): https://supremecourt.nsw.gov.au/documents/Publications/Speeches/2025-speeches/bellcj/BellCJ-20250828.pdf

In this episode of Future Ready Lawyer, hosts Alex, Armin, and Mark, are joined by Vicki McNamara, Senior Research Associate at the UNSW Centre for the Future of the Legal Profession, to discuss the growing global trend of generative AI misuse in litigation.

The conversation centers on Vicki’s upcoming research, which identifies over 470 cases across common law jurisdictions where AI has generated "hallucinated" citations or procedurally flawed documents. The panel explores the resulting strain on court resources, the phenomenon of "verification drift" where users become too confident in AI outputs to verify them, and the potential long-term risks of eroding critical legal thinking and creativity among junior lawyers.

They conclude by discussing the necessity of better public education and the "average effect" of AI on legal excellence, looking ahead to a future where AI errors may become more subtle than blatant hallucinations.

Show Notes & Links

Guest & Organizations

• Vicki McNamara: UNSW Staff Profile; LinkedIn
• UNSW Centre for the Future of the Legal Profession: Website
• GenAI, Fake Law & Fallout Report Website

Cases & Legal Resources Mentioned

• Mata v. Avianca: The "ChatGPT Lawyer" Case (The US case regarding fake citations mentioned early in the episode)
• May v Costaras [2025] NSWCA 178: Case Judgment (The NSW Court of Appeal case mentioned involving Chief Justice Bell)
• New Zealand Courts - Generative AI Guidelines: Guidelines for Lawyers, Judges, and Non-Lawyers
• Fair Work Commission (Australia): Website (Cited for good plain language material)

NZ Parliamentary Counsel Office: AI Chatbot Initiative

This episode of "Future Ready Lawyer: AI and the Evolution of Legal Practice" explores the rapidly shifting landscape of AI in legal education and practice. The conversation covers the impact of generative and agentic AI on legal job roles, the prospect of "AI-first" companies, the productivity paradox of AI tools, the changing nature of graduate legal work, and the enduring need for deep expertise and human judgment in law. We review recent empirical research, legal market hiring trends, sector skepticism about full automation, and the new skills required as legal workflows evolve.

Show note sources:

Thomson Reuters, 2025 Generative AI in Professional Services Report https://legal.thomsonreuters.com/blog/how-ai-is-transforming-the-legal-profession/

Luis von Ahn (Duolingo), Duolingo "AI-first" company coverage (2025) https://www.nytimes.com/2025/08/17/business/duolingo-luis-von-ahn.html

Financial Review (AFR), LinkedIn, Law firms take more graduates even as AI does the grunt work https://www.afr.com/companies/professional-services/law-firms-take-more-graduates-even-as-ai-does-more-grunt-work-20250626-p5malv

Princeton researchers (Knight First Amendment Institute) AI as Normal Technology https://knightcolumbia.org/content/ai-as-normal-technology

Gary Marcus Generative AI's most prominent skeptic https://www.project-syndicate.org/magazine/generative-ai-fundamentally-unreliable-and-with-no-apparent-solution-by-gary-marcus-2025-06

METR: Becker, J., Rush, N., Barnes, B., & Rein, D. Measuring the impact of early-2025 AI on experienced open-source developer productivity https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/

Centre for Legal Innovation, Women + AI APAC Summit Women + AI APAC Summit 2025 (panel and conference) https://events.humanitix.com/women-ai-summit-apac-2025