Federal Rescheduling of Cannabis: An Expert Panel
In late 2025, President Trump signed an Executive Order to expedite the rescheduling of cannabis from Schedule I to Schedule III under the Controlled Substances Act. If finalized, the reclassification would mark a significant policy shift with concrete legal, economic, and research implications. What does this mean for recreational/medical use, state and federal drug law, […]
“Religious Liberty, Applied”: In-House Counsel for Faith-Based Organizations
Students with an interest in religious liberty law typically orient towards litigation – where there is indeed a great deal of activity, much of it cutting-edge, as the courts continue to work out the contours of various legal doctrines and exemptions applicable to religious organizations and individuals. But there is also fascinating and important work to be done as in-house counsel to religious organizations. This work, too, is cutting-edge and exciting; it requires a lawyer to be up-to-date on all of the latest court decisions and to exercise superb practical judgment in real-life scenarios where faith-based organizations must make difficult and consequential decisions about how to operate consistent with the religious beliefs that animate them. Call it “religious liberty, applied.” Join Wasserstein Fellow Jennie Bradley Lichter as she offers students a window into practicing law as in-house counsel to faith-based organizations.
Lunch provided. Please RSVP below! Open to the HLS community.
HLS Beyond and LIL present: Funders and Founders
What does it take to build a legal tech startup? How are lawyers using AI now, and how will they use it five and ten years from now? Join Pablo Arredondo, Co-Founder of CaseText and now Vice President at Thomson Reuters following the company’s 2023 acquisition, in conversation with Jon Choi, visiting faculty at HLS and James Carr Professor of Law at Washington University in St. Louis and Co-Founder of Solomon AI, as they discuss entrepreneurship, AI, and the future of the legal profession.
HLS Beyond & BKC present: Where do Things Stand With the White House AI Action Plan?
Professor Alan Raul will be leading 3 sessions this spring on TechReg in AI under the Trump Administration (see March 12th & April 9th events). This first session will examine the current U.S. federal AI governance landscape under the Administration’s July 2025 AI Action Plan and December 2025 Executive Order 14365 (“Ensuring a National Policy Framework for Artificial Intelligence”), including the Administration’s posture toward the emerging web of state AI laws.
HLS Beyond and BKC present: AI Governance and Human Alignment
In this second session of the TechReg in AI series w/ Alan Raul (see April 9th) we address the issue of how Frontier AI companies assure human control and safety. AI is a potentially hugely transformative technology that is developing substantially outside the government’s direct control. Since under the Administration’s current AI framework major tech companies will be largely responsible for directing and controlling the progress and governance of frontier AI, we survey how these corporate entities have set up their governance structures, instituted compliance measures (legal conformity and safety assessments, risk management frameworks), built in technical measures (evaluations, red-teaming, monitoring), and established organizational measures (risk committees, responsible scaling policies, incident response).
HLS Beyond and BKC present: Evidence-Based AI Policy
In this third and final session of the TechReg in AI series with Professor Alan Raul, we consider what constitutes an “AI incident” for policy and governance purposes. Who is monitoring and reporting them? How does the concept account for foreseeable harms, near misses, and distinctions between systems performing as intended versus those that are malfunctioning, maliciously compromised, or acting in novel or unexpected manners? As we dig into today’s incident-monitoring ecosystem, we’ll discuss relevant challenges such as underreporting, selection bias, confidentiality, reproducibility and how to translate scattered, anecdotal events into meaningful evidence for risk management and harm prevention.