: This Note explores the idea of paying Americans to cast their ballots as a mechanism to increase electoral participation among lower income voters and
: We study two-candidate elections with multiple pivotal events. In addition to determining which candidate is elected, an individual's vote is pivotal
: Gunder, Jessica, Yikes! The Bluebook's Generative AI Rule is Flawed (July 31, 2025). Available at SSRN: https://ssrn.com/abstract=5375084 or http://dx.doi.org/10.2139/ssrn.5375084 Gunder, Jessica, Yikes! The Bluebook's Generative AI Rule is Flawed (July 31, 2025). Available at SSRN: https://ssrn.com/abstract=5375084 or
: A weird thing happens when a conscientious, rational judge lacks certainty and has the humility to know it: she will often decide cases for reasons that A weird thing happens when a conscientious, rational judge lacks certainty and has the humility to know it: she will often decide cases for reasons
: Large language models struggle to answer legal questions that require applying detailed, jurisdiction-specific legal rules. Lawyers also find these types of
: Legal Writing I & II; Legal Research and Writing & Introduction to Litigation Practice contains a brief discussion of all of the topics covered in law s Legal Writing I & II; Legal Research and Writing & Introduction to Litigation Practice contains a brief discussion of all of the topics covered in law
: The access-to-justice gap is growing, affecting individuals with both civil and criminal needs in the United States. Though these challenges are multifaceted,
: Lande, John, The Art of AI Prompting in Law and Dispute Resolution Practice (September 29, 2025). University of Missouri School of Law Legal Studies Research Paper No. 2025-46, Available at SSRN: https://ssrn.com/abstract=5544018 or http://dx.doi.org/10.2139/ssrn.5544018 Lande, John, The Art of AI Prompting in Law and Dispute Resolution Practice (September 29, 2025). University of Missouri School of Law Legal Studies Research Paper No. 2025-46, Available at SSRN: https://ssrn.com/abstract=5544018 or
: Large Language Models suffer from prompt variance— meaning they’ll give you totally different legal answers depending on how you phrase your question. Jonathan Large Language Models suffer from prompt variance— meaning they’ll give you totally different legal answers depending on how you phrase your question.
: This Article defends the constitutionality of a statutory prohibition on false election speech using a comparative analysis between Canada and the United S This Article defends the constitutionality of a statutory prohibition on false election speech using a comparative analysis between Canada and the United
: Why edit a constitutional law casebook? One might want to shape how professors teach the subject and how students learn it. But the influence of casebook editor Why edit a constitutional law casebook? One might want to shape how professors teach the subject and how students learn it. But the influence of casebook
: Milburn-Knizner, April and Milburn-Knizner, April and Montcalm, Megan E.K., TL;DR: The Truth About Gen Z Law Students & Why They Need More, Not Less (August 01, 2025). Available at SSRN: https://ssrn.com/abstract=5471486 or http://dx.doi.org/10.2139/ssrn.5471486 Milburn-Knizner, April and Milburn-Knizner, April and Montcalm, Megan E.K., TL;DR: The Truth About Gen Z Law Students & Why They Need More, Not Less (August 01, 2025). Available at SSRN: https://ssrn.com/abstract=5471486 or
: Synthetic data is increasingly important in data usage and AI design, creating novel legal and policy dilemmas. All too often, discussions of synthetic data
: In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine,
: Arrow's Impossibility Theorem demonstrates that no ranked voting system can simultaneously satisfy five desirable fairness criteria. This working paper proves t Arrow's Impossibility Theorem demonstrates that no ranked voting system can simultaneously satisfy five desirable fairness criteria. This working paper proves
: Well before November 3, 2026, the federal courts should decide whether the federal election day statutes preempt a state or D.C. from counting mail-in ballots t Well before November 3, 2026, the federal courts should decide whether the federal election day statutes preempt a state or D.C. from counting mail-in ballots
: Teaching constitutional law today has been impacted by two trends reflecting a polarized electorate and politics: first, recent restrictions targeting education Teaching constitutional law today has been impacted by two trends reflecting a polarized electorate and politics: first, recent restrictions targeting
: This paper examines how the adoption of artificial intelligence (AI) technologies influences judicial performance in China. We use large language models to iden This paper examines how the adoption of artificial intelligence (AI) technologies influences judicial performance in China. We use large language models to
: In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly ado In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly
: Because practitioners are pressured to complete their tasks as quickly and efficiently as possible, lawyers regularly use documents previously drafted by
: This article explores the transformative role of Artificial Intelligence (AI) in judicial processes, highlighting its potential to enhance efficiency, accuracy, This article explores the transformative role of Artificial Intelligence (AI) in judicial processes, highlighting its potential to enhance efficiency,
: Artificial Intelligence (AI) drives legal innovation. By integrating advanced machine learning, natural language processing, and large language models, AI achie Artificial Intelligence (AI) drives legal innovation. By integrating advanced machine learning, natural language processing, and large language models, AI
: In 2020, we published a comprehensive overview of the landscape of computational legal analysis. Since then, the emergence of large language models (LLMs) has f In 2020, we published a comprehensive overview of the landscape of computational legal analysis. Since then, the emergence of large language models (LLMs) has
: In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine, chiefly In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine,
: Legal academia is likely stuck with law faculty scholarly impact rankings-that is, using citation counts to judge a law faculty's reputation and influence. But Legal academia is likely stuck with law faculty scholarly impact rankings-that is, using citation counts to judge a law faculty's reputation and influence.
: The access-to-justice gap is growing, affecting individuals with both civil and criminal needs in the United States. Though these challenges are multifaceted,
: Legal scholars love to complain about the law review publishing process. Many of them overreact to the existence of student editors and the occasional
: Artificial Intelligence (AI) drives legal innovation. By integrating advanced machine learning, natural language processing, and large language models, AI
: This study analyzes how legal scholars, judges, and codifiers function as evolutionary engineers who practice artificial selection on legal doctrines,
: This paper proposes a comprehensive theoretical framework for evaluating AI performance in constitutional scholarship, addressing differential accuracy
: “Bots” powered by artificial intelligence systems are enormously powerful and versatile. Trained bots can take on a wide variety of roles, speaking and actin “Bots” powered by artificial intelligence systems are enormously powerful and versatile. Trained bots can take on a wide variety of roles, speaking and
: Polysemous legal vocabulary is both highly frequent and conceptually central in Legal English, yet its instructional treatment remains insufficiently
: The landscape of legal education is undergoing a profound transformation, shaped by rapid advancements in technology, globalization, and shifting demands within The landscape of legal education is undergoing a profound transformation, shaped by rapid advancements in technology, globalization, and shifting demands
: This report outlines the foundational components necessary to develop EurLexGPT—a modular,domain-specific AI-based system built on EU legislative data—to se This report outlines the foundational components necessary to develop EurLexGPT—a modular,domain-specific AI-based system built on EU legislative data—to
: Generative AI can rapidly output vast amounts of expressive content, some of which has great value for society. This new computational process also raises a Generative AI can rapidly output vast amounts of expressive content, some of which has great value for society. This new computational process also raises
: This paper explores the integration of Artificial Intelligence (AI) in mergers and acquisitions (M&A) due diligence, examining the transformative effect on This paper explores the integration of Artificial Intelligence (AI) in mergers and acquisitions (M&A) due diligence, examining the transformative effect
: This paper critically addresses the application of the Better Regulation principles within the European Union’s evolving legislative framework for the digital
: In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly ado In the past few years, large language models (LLMs) have achieved significant technical advances, such that legal-advocacy organizations are increasingly
: Laser, Christa and Goodman, Jordana and Frakes, Michael and Freilich, Janet and Lemley, Mark A. and Ouellette, Lisa Larrimore and Schwartz, David L. and Silbey, Jessica M. and Sukhatme, Neel U. and Vishnubhakat, Saurabh and Wasserman, Melissa F., Ten Tips for Legal Empiricists (December 05, 2025). Goodman & Laser, Ten Tips for Legal Empiricists, 23 N.W. J. Tech. & Intell. Prop. 227 (2025), Stanford Public Law Working Paper, Available at SSRN: https://ssrn.com/abstract=5875642 or http://dx.doi.org/10.2139/ssrn.5875642 Laser, Christa and Goodman, Jordana and Frakes, Michael and Freilich, Janet and Lemley, Mark A. and Ouellette, Lisa Larrimore and Schwartz, David L. and Silbey, Jessica M. and Sukhatme, Neel U. and Vishnubhakat, Saurabh and Wasserman, Melissa F., Ten Tips for Legal Empiricists (December 05, 2025). Goodman & Laser, Ten Tips for Legal Empiricists, 23 N.W. J. Tech. & Intell. Prop. 227 (2025), Stanford Public Law Working Paper, Available at SSRN: https://ssrn.com/abstract=5875642 or
: On February 10, 2026, a federal judge ruled that every document a criminal defendant generated using a commercial AI tool was discoverable. The ruling in Un On February 10, 2026, a federal judge ruled that every document a criminal defendant generated using a commercial AI tool was discoverable. The ruling in
: Generative AI companies and enthusiasts claim that it's only a matter of time before lawyers, judges, law students, and law professors embrace this new technolo Generative AI companies and enthusiasts claim that it's only a matter of time before lawyers, judges, law students, and law professors embrace this new
: Recently different regulations and recommendations for the use of AI-based technology, especially in the judiciary, have become more prevalent. One major
: Little advice exists on when and how responsible, ethical lawyers should cite AI in court filings. This Article provides common-sense guidance to litigation par Little advice exists on when and how responsible, ethical lawyers should cite AI in court filings. This Article provides common-sense guidance to litigation