Corporations

Online
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.

Business Organizations Corporate Governance Corporations
Online
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.

Contracts Corporations
Online
Essay
AI Judgment Rule(s)
Katja Langenbucher
Katja is a law professor at Goethe-University, Frankfurt; member of Leibniz Institute SAFE; affiliated professor at SciencesPo, Paris; and visiting faculty at Fordham Law School.

This piece has profited enormously from feedback during the University of Chicago Law School’s workshop on “How AI Will Change the Law.” I would like to thank Stephen Bainbridge and Martin Gelter for enlightening me with expert input in the context of the U.S. business judgment rule. Needless to say, all remaining errors are mine.

This Essay explores whether the use of AI to enhance decision-making brings about radical change in legal doctrine or, by contrast, is just another new tool. It focuses on decision-making by board members. This provides an especially relevant example because corporate law has laid out explicit expectations for how board members must go about decision-making.

Business Organizations Corporate Governance Corporations Technology
Online
Essay
Game Over: Facing the AI Negotiator
Horst Eidenmüller
Statutory Professor for Commercial Law at the University of Oxford and Professorial Fellow of St. Hugh’s College, Oxford.

This Essay is based on my contribution to the University of Chicago Law School symposium on “How AI Will Change the Law” (April 12–13, 2024). I should like to thank the conference participants for their feedback. I am particularly grateful to Omri Ben-Shahar, Genevieve Helleringer, and Klaus Schmidt for detailed comments and suggestions.

AI applications will put an end to negotiation processes as we know them. The typical back-and-forth communication and haggling in a state of information insecurity could soon be a thing of the past. AI applications will increase the information level of the parties and drastically reduce transaction costs. A quick and predictable agreement in the middle of a visible bargaining range could become the new normal. But, sophisticated negotiators will shift this bargaining range to their advantage. They will automate negotiation moves and execute value-claiming strategies with precision, exploiting remaining information asymmetries to their advantage. Negotiations will no longer be open-ended communication processes. They will become machine-driven chess endgames. Large businesses will have the upper hand in these endgames.

Arbitration Corporations Machine Learning
Online
Essay
Corporate Behavior and the Tax Cuts and Jobs Act
Nicholas H. Cohen
Nicholas Cohen is the Founder and Principal of LobbySeven LLC, where he regularly publishes on fiscal policy through a quantitative lens.
Manoj Viswanathan
Manoj Viswanathan is an Associate Professor of Law at the University of California, Hastings College of the Law.

Thanks to Amrita Sethi for outstanding research assistance.

The Tax Cuts and Jobs Act of 2017 (the “TCJA”) fundamentally altered United States tax law.

Corporations Tax

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