Webinar
November 18
Beyond Human in the Loop: Redefining Accountability in AI-Assisted Legal Work
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Featured Event
Beyond Human in the Loop: Redefining Accountability in AI-Assisted Legal Work
Join us for Beyond Human in the Loop: Redefining Accountability in AI-Assisted Legal Work as part of the AI & Future of Legal Practice webinar series.
In this webinar, you will hear a robust discussion on effective human oversight and what it truly means to be "in control" of AI-assisted legal work, rather than merely "in the loop." The conversation will unpack what meaningful review demands at every career stage from law students to supervising partners, will introduce a shared framework of AI Literacy, AI Fluency, and Professional Discernment, and translate these principles into concrete governance policies, client-disclosure practices, and academic-integrity standards.
In this webinar, you will hear a robust discussion on effective human oversight and what it truly means to be "in control" of AI-assisted legal work, rather than merely "in the loop." The conversation will unpack what meaningful review demands at every career stage from law students to supervising partners, will introduce a shared framework of AI Literacy, AI Fluency, and Professional Discernment, and translate these principles into concrete governance policies, client-disclosure practices, and academic-integrity standards.
Why attend
What meaningful accountability looks like in AI-assisted legal work
Learn to distinguish “human in the loop” from “human in control” and why the distinction matters for real accountability. Hear what meaningful review requires at every seniority level, apply a shared vocabulary of AI Literacy, AI Fluency, and Professional Discernment, and see accountability principles translated into governance policy, client-disclosure language, and academic-integrity standards.
Who should attend?
Law faculty and legal educators looking for effective pathways to teach verification skills to law students and early-career lawyers
Law students and junior associates who need to build strong verification habits early in their careers to avoid hallucinations and misgrounding
Partners and firm leadership responsible for setting policy on AI use and ensuring work product meets professional responsibility obligations under Model Rule 1.1 and ABA Formal Opinion 512
Solo and small-firm practitioners who need reliable habits for catching AI-generated errors before they reach a filing or a client
Government attorneys navigating verification obligations within public-sector constraints
Faculty
Jonah Perlin
Professor of Law, Legal Practice
Georgetown University Law Center
Caitlin “Cat” Moon
Professor of the Practice of Law & Founding Co-Director
Vanderbilt AI Law Lab
Justin J. Andreozzi
Partner
Lippes Mathias
Tyler Alexander
Vice President of AI Reliability
Thomson Reuters
Venue
Webinar
Virtual Zoom Webinar
As AI becomes more embedded in legal work, meaningful human oversight is essential. This webinar explores what it means to be “in control” of AI-assisted legal work and how accountability can be put into practice.
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