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Essay
Constitutional Limits to Regulations on Foreign-Influenced Corporate Contributions
John Cooper
John Cooper is a J.D. candidate at the University of Chicago Law School, Class of 2026.

He thanks Professor Genevieve Lakier, Elizabeth Walsh, and the entire UCLR Online team for their suggestions.

This Case Note starts by summarizing current federal law and existing litigation surrounding state legislation in the context of foreign campaign contributions. It then turns to the parallels between state and federal proposals and concludes with the potential avenues policymakers may use to avoid future constitutional challenges.

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Essay
Tiktok Bans: A Takings Clause Blunder?
Bridget Gilchrist
Bridget Gilchrist is a J.D. Candidate at the University of Chicago Law School, Class of 2025.

She thanks Henry Gilchrist, Timothy Burke, Kimberly Burke, and Alexis Berg for their support, and the University of Chicago Law Review Online team for all their hard work.

This Case Note explores the possibility that, in a world where TikTok is banned or heavily regulated, individual TikTok users could sue states under a Takings Clause theory. Any such cases would have to wrestle with two core questions (1) whether the account holders hold an actionable property interest in their accounts; and (2) if so, whether permanently and totally depriving users of access to their accounts constitutes a taking.

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Essay
Venue Transfers of Administrative Litigation and the Neglected Percolation Argument
Andrew Meyer
Andrew Meyer is a J.D. Candidate at The University of Chicago Law School, Class of 2026.

He thanks Russ Ryan, Will Horvath, and the University of Chicago Law Review Online team.

District courts should consider the value of percolation in a given case as part of their analysis in deciding whether to grant a § 1404(a) motion. The value of doing so is even more pronounced in cases with a clear pattern of repeat-player defendants moving for transfer for no apparent reason other than convenience—and perhaps a more amenable court. In such cases, district courts should directly weigh the benefits of percolation against those of judicial economy.

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Essay
The Specter of a Circuit Split: Isaacson, Bankshot, and § 1983
Quinten J. Rimolde
Quinten J. Rimolde is a J.D. Candidate at The University of Chicago Law School, Class of 2026.

He thanks Will Horvath, Brandon Stras, Graham Kingwill, Professor William Baude, and the entire University of Chicago Law Review Online team.

At first glance, the Ninth Circuit’s decision in Isaacson v. Mayes (2023) set the stage for the perfect law review student comment. It called out the Eleventh Circuit’s decision in Bankshot Billiards, Inc. v. City of Ocala (2011) by name. And the Congressional Research Service listed Bankshot and Isaacson among 2023’s circuit splits. By all accounts, the two circuits had split over a significant issue. They disagreed over whether a party needs to connect its injury to a constitutional right in order to establish standing for claims under 42 U.S.C. § 1983. Only one problem remained: the courts were on the same page. What emerged was the specter of a circuit split.

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Essay
Who Are They to Judge? The Scope of Absolute Immunity as Applied to Parole Psychologists
Zoë Lewis Ewing
Zoë Lewis Ewing is a J.D. Candidate at the University of Chicago Law School, Class of 2026.

She thanks the University of Chicago Law Review Online team for their helpful feedback.

This Case Note first provides a background on the doctrine of absolute immunity. It then evaluates the court’s analysis in Gay and compares Gay with the Third Circuit’s decision in Williams v. Consovoy (3d Cir. 2006). Finally, this Case Note argues that Gay is more consistent with Supreme Court precedent on absolute immunity and more in line with historical understandings of the doctrine. This issue has particularly high stakes, as psychologists’ medical role can create a “guise of objectivity.” As a result, even a biased psychologist might still receive strong deference from a judge and could then be the reason a person spends the rest of their life in prison.

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Snow, Rain, and Theft: The Limits of U.S. Postal Service Liability Under the Federal Tort Claims Act
Margaret Schaack
Margaret Schaack is a J.D. Candidate at the University of Chicago Law School, Class of 2026.

The author thanks the University of Chicago Law Review Online team for their helpful feedback.

This Case Note first reviews the origins of the postal-matter exception and the FTCA. Then, it analyzes the Fifth Circuit’s holding in Konan and explores contrasting precedent in other circuits, most notably in the First and Second Circuits. Finally, this Note discusses the difficulty of balancing USPS’s interests against enabling suits under the FTCA and considers the implications of providing a tort remedy.

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Essay
AI & the Business Judgment Rule: Heightened Information Duty
Geneviève Helleringer
Professor Geneviève Helleringer, ESSEC Business School-Paris & Oxford University, and research member of ECGI. She is Visiting Professor of Law at Columbia Law School and Paris-Panthéon-Assas University. Her research focuses on comparative Commercial and Corporate Law.

We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.

Florian Möslein
Florian Möslein is the Director of the Institute for Law and Regulation of Digitalisation and Professor of Law at the Philipps-University Marburg, where he teaches Contract Law, Corporate Law and Securities Regulation.

We would like to thank the participants of the How AI Will Change the Law Symposium, cohosted by the Coase-Sandor Institute, the University of Chicago Law Review Online, and Oxford Business Law Blog, for their helpful comments.

Artificial intelligence (AI) has the potential to alter the interpretation of the duties of care, skill, and diligence. As these duties form the foundation for the BJR and equivalent provisions, the development of AI is also expected to impact the BJR. There is a broadening importance, in an increasingly data-driven business environment, of the requirement to gather sufficient information before making a decision and to use information in a valid manner. Changes are both quantitative (how much information to collect) and qualitative (which types of information to collect). The changes also relate to the methods of decision-making, including the role of measures and statistics over intuition.

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Essay
How Artificial Intelligence Will Shape Securities Regulation
Gabriel V. Rauterberg
Professor of Law, University of Michigan

My views on these subjects owe much to my collaborators, especially Michael Barr, Megan Shearer, and Michael Wellman, with whom I have been studying the behavior of algorithmic traders in financial markets, and Howell Jackson, with whom I have been presenting on social media and capital markets at PIFS-IOSCO’s trainings for securities regulators. All errors are my own. Thanks to the participants at the University of Chicago’s Symposium on “How AI Will Change the Law” for helpful comments, and to the editors of the University of Chicago Law Review for their helpful insights.

This Essay argues that the increasing prevalence and sophistication of artificial intelligence (AI) will push securities regulation toward a more systems-oriented approach. This approach will replace securities law’s emphasis, in areas like manipulation, on forms of enforcement targeted at specific individuals and accompanied by punitive sanctions with a greater focus on ex ante rules designed to shape an ecology of actors and information.

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Essay
A Story of Two Holy Grails: How Artificial Intelligence Will Change the Design and Use of Corporate Insolvency Law
Felix Steffek
Felix Steffek is Professor of Law at the University of Cambridge. He serves as Director of the Centre for Corporate and Commercial Law (3CL) and holds a JM Keynes Fellowship in Financial Economics. He is Global Distinguished Professor of Law at the University of Notre Dame, SGRI Visiting Professor at Singapore Management University, and Senior Member of Newnham College.

The author is grateful for the very helpful comments received at the conference on ‘How AI Will Change the Law’ organized by the University of Chicago Coase-Sandor Institute for Law and Economics, the University of Chicago Law Review, and the Oxford Business Law Blog, in particular from Tony Casey who contributed a formal comment.

This Essay explores the two holy grails of AI and the law: predicting court decisions and predicting contracts. While there is some overlap between the two, because in order to draft contracts one needs to know the law, both issues can be functionally distinguished. These two areas, and their importance in the context of increasing AI development, are explored more deeply within the context of corporate insolvency law.

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Essay
Algorithmic Pricing, Anticompetitive Counterfactuals, and Antitrust Law
Edward M. Iacobucci
Professor and TSE Chair in Capital Markets, Faculty of Law, University of Toronto.

The author wishes to thank Abdi Aidid, Ben Alarie, Francesco Ducci, Anthony Niblett, Tom Ross, and Michael Trebilcock and participants at the How AI Will Change the Law Symposium at the University of Chicago for helpful comments and conversations.

This Essay focuses largely on structural responses to AI pricing in antitrust, outlining the bulk of its argument in the context of merger law but also considers monopolization law and exclusionary conduct. It argues that the relationship between the strictness of the law and the sophistication of AI pricing is not straightforward. In the short run, a stricter approach to merger review might well make sense, but as AI pricing becomes more sophisticated, merger policy ought to become less strict: if anticompetitive outcomes are inevitable with or without a merger because of highly sophisticated AI pricing, antitrust interventions to stop mergers will not affect pricing and instead will create social losses by impeding efficient acquisitions. This Essay considers similar questions in the context of monopolization. It concludes by observing that the rise of AI pricing will strengthen the case for antitrust law to shift its focus away from high prices and static allocative inefficiency and toward innovation and dynamic efficiency.

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Essay
Causal AI—A VISOR for the Law of Torts
Gerhard Wagner
Dr. Gerhard Wagner is the Chair of Civil Law, Commercial Law, and Law and Economics at Humboldt University of Berlin.

He has previously served as visiting professor at University College London, the University of Chicago, and Université Paris-Panthéon-Assas, as well as a visiting scholar at the New York University School of Law. His research focuses include torts, private law theory, and dispute resolution.

Causal AI is within reach. It has the potential to trigger nothing less than a conceptual revolution in the law. This Essay explains why and takes a cautious look into the crystal ball. Causation is an elusive concept in many disciplines—not only the law, but also science and statistics. Even the most up-to-date artificial intelligence systems do not “understand” causation, as they remain limited to the analysis of text and images. It is a long-standing statistical axiom that it is impossible to infer causation from the correlation of variables in datasets. This thwarts the extraction of causal relations from observational data. But important advances in computer science will enable us to distinguish between mere correlation and factual causation. At the same time, artificially intelligent systems are beginning to learn how to “think causally.”

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Essay
Automation Rights: How to Rationally Design Humans-Out-of-the-Loop Law
Orly Lobel
Orly Lobel is the Warren Distinguished Professor of Law and Director of the Center for Employment and Labor Policy (CELP) at the University of San Diego.

She graduated from Tel-Aviv University and Harvard Law School. Named as one of the most cited legal scholars in the United States, and specifically the most cited scholar in employment law and one of the most cited in law and technology, she is influential in her field. Professor Lobel has served on President Obama’s policy team on innovation and labor market competition, has advised the Federal Trade Commission (FTC), and has published multiple books to critical acclaim. Her latest book, The Equality Machine, is an Economist Best Book of the Year.  

This Essay argues for the development of more robust—and balanced—law that focuses not only on the risks, but also the potential, that AI brings. In turn, it argues that there is a need to develop a framework for laws and policies that incentivize and, at times, mandate transitions to AI-based automation. Automation rights—the right to demand and the duty to deploy AI-based technology when it outperforms human-based action—should become part of the legal landscape. A rational analysis of the costs and benefits of AI deployment would suggest that certain high-stakes circumstances compel automation because of the high costs and risks of not adopting the best available technologies. Inevitably, the rapid advancements in machine learning will mean that law soon must embrace AI; accelerate deployment; and, under certain circumstances, prohibit human intervention as a matter of fairness, welfare, and justice.