
Alisa Hall advises technology companies on artificial intelligence governance, data privacy, consumer protection, and intellectual property law. She brings more than a decade of experience as legal counsel at leading technology companies, giving her a practitioner's understanding of the regulatory, product, and engineering considerations that shape AI and privacy risk management.
Prior to founding Jackson Hall Strategies, Alisa led Meta's Generative AI product legal team, advising on the development and launch of Meta AI and the LLaMA model family, including regulatory engagement, product counseling, and cross-functional legal support for AI research and deployment. Before her generative AI remit, Alisa led privacy counseling for a portfolio of Meta's consumer platforms and business lines.
Before Meta, Alisa spent six years at eBay where her practice spanned both privacy and litigation. She built privacy compliance programs from the ground up for foundational regulations including CCPA and led a privacy advisory team as Director of Privacy & Privacy Compliance. As Senior Litigation Counsel, she managed high-profile intellectual property disputes, regulatory investigations, and consumer class actions, giving her an unusually broad view of how legal risk manifests across the enterprise.
Alisa began her legal career on Capitol Hill, where she drafted federal privacy legislation—a background that informs her approach to regulatory strategy and policy engagement. She received her J.D. from The George Washington University Law School and is admitted to the bars of California and Massachusetts.
Olivia Malchow (formerly Jackson) works with emerging and established companies on technology and corporate governance, free speech, consumer protection, and privacy issues, drawing on two decades of international legal experience.
Prior to founding Jackson Hall Strategies, she served as the inaugural General Counsel for the Oversight Board, an independent governance body established by Meta that issues binding decisions on content moderation matters across Facebook, Instagram, and Threads. In that role, she developed frameworks for addressing freedom of expression and complex speech issues on digital platforms.
Earlier in her career, Olivia spent seven years at eBay in progressively senior legal roles, ultimately serving as Senior Director of Legal, where she managed attorney teams and acted as lead legal partner to major business units. She began her legal career at a global law firm in London and clerked at the Court of Appeal of England and Wales and at international courts.
Olivia holds an LL.M. in Corporate Governance & Practice from Stanford Law School and a B.A. in Law (with French Law) from Oxford University. She is admitted to practice in New York and England & Wales.


Ethan Bueno de Mesquita is the Dean and Sydney Stein Professor at the University of Chicago Harris School of Public Policy. His research applies game theory to the study of national security, elections, and tech policy. He writes and advises leaders in the public and private sectors on both national security matters and issues concerning tech governance, policy, and strategy.
He is the author of three books—Political Economy for Public Policy, Theory and Credibility, and Thinking Clearly with Data—as well as many articles in political science and economics. His work has been supported by the National Science Foundation, the Office of Naval Research, and the United States Institute of Peace. He is also the co-host of the Not Another Politics Podcast.
Before joining the University of Chicago faculty, Bueno de Mesquita taught in the political science department at Washington University in St. Louis. He earned his B.A. from the University of Chicago, and his MA and PhD from Harvard University.
Justin Grimmer is the Morris M Doyle Centennial Professor of Public Policy in Stanford University’s Political Science Department in Stanford, California and a Senior Fellow at the Hoover Institution. His academic research develops and applies new machine learning and causal inference methods to study democratic governance. He is the author of three books and numerous academic articles published in leading journals in Political Science, Computer Science, Statistics, and Machine Learning along with general interest science journals.
Justin currently serves as an advisor to Home Key, an AI-based real estate startup. Starting in 2015 he served as a consultant to Meta Platforms, Inc. working at problems at the intersection of politics and technology. He has extensive experience testifying as an expert witness in litigation and has taught in the American Bar’s National Judicial College helping educate judges on how to evaluate expert reports.
Justin is an award winning teacher and has taught courses on machine learning, causal inference, and public policy at the graduate and undergraduate level at Stanford University and the University of Chicago. He attended Harvard University and received his Ph.D. in Political Science from the Department of Government. He graduated Summa Cum Laude from Wabash College, where he earned his degree in Mathematics and Political Science.


Andy Hall is the Davies Family Professor of Political Economy at the Stanford Graduate School of Business and a Senior Fellow at the Hoover Institution. He is an expert on designing governance systems for the online and offline worlds and helping organizations build, sell, and govern products in ways that work for them and for society. He has published more than 30 peer-reviewed articles in top social scientific journals, and is the author of a critically acclaimed book on the root causes of polarization in American government.
As well as being a tenured professor, Andy is deeply embedded in the tech industry, where he has advised senior leaders in policy, product, and business teams on a range of strategy and policy issues. This includes work to measure user preferences, assign users voting power over consequential decisions, leverage crowdsourcing, and give users incentives to participate in shared governance. Currently, Hall serves as an advisor to the Wearables Business Group at Meta Platforms, Inc, where he works on strategy problems at the intersection of AI, AR, and social media, and to the a16z crypto research group, where he helps crypto companies to design their decentralized governance structures.
At the GSB, Andy helps to lead the Business and Beneficial Technology initiative. He teaches courses on how organizations can build trust in a divided world, and on the future of democracy and tech governance. He received his B.A. in Economics and Classics from Stanford University, and his A.M. in Statistics and Ph.D. in Political Science from Harvard University.
Sean J. Westwood is an Associate Professor in the Department of Government at Dartmouth College and a Visiting Fellow at the Hoover Institution, Stanford University. He is an expert on survey research, political behavior and public opinion. His work shows how partisanship, political polarization, and information from political elites affect the behavior of citizens. He has published dozens of peer-reviewed articles in leading social scientific journals, including the Proceedings of the National Academy of Sciences, Science Advances, American Political Science Review, Nature Human Behavior, and the American Journal of Political Science.
As Director of the Polarization Research Lab at Dartmouth College, he leads initiatives that develop academic and citizen tools to study and understand political polarization. Sean’s work and commentary are frequently featured in prominent media outlets, including The New York Times, The Washington Post, and The Wall Street Journal. He advises foundations and technology organizations on measuring and mitigating partisan hostility and regularly briefs policymakers and the media on the health of American democracy.
Sean received his Ph.D. and M.A. from Stanford University, an M.S. from The London School of Economics and Political Science, and a B.A. from the University of Nevada.

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