Law Commons^™

Law, Fact, And Procedural Justice, G. Alexander Nunn

Faculty Scholarship

The distinction between questions of law and questions of fact is deceptively complex. Although any first-year law student could properly classify those issues that fall at the polar ends of the law-fact continuum, the Supreme Court has itself acknowledged that the exact dividing line between law and fact—the point where legal inquiries end and factual ones begin—is “slippery,” “elusive,” and “vexing.” But identifying that line is crucially important. Whether an issue is deemed a question of law or a question of fact often influences the appointment of a courtroom decision maker, the scope of appellate review, the administration of certain …

Junk Science At Sentencing, Maneka Sinha

Faculty Scholarship

Junk science used in criminal trials has contributed to hundreds of wrongful convictions. But the problem is much worse than that. Junk science does not only harm criminal defendants who go to trial, but also the overwhelming majority of defendants—over ninety-five percent—who plead guilty, skip trial, and proceed straight to sentencing.

Scientific, technical, and other specialized evidence (“STS evidence”) is used regularly, and with increasing frequency, at sentencing. Despite this, Federal Rule of Evidence 702 and its state equivalents—which help filter unreliable STS evidence at trials—do not apply at the critical sentencing stage. In fact, at sentencing, no meaningful admissibility …

Artificial Intelligence As Evidence, Paul W. Grimm, Maura R. Grossman, Gordon V. Cormack

Faculty Scholarship

This article explores issues that govern the admissibility of Artificial Intelligence (“AI”) applications in civil and criminal cases, from the perspective of a federal trial judge and two computer scientists, one of whom also is an experienced attorney. It provides a detailed yet intelligible discussion of what AI is and how it works, a history of its development, and a description of the wide variety of functions that it is designed to accomplish, stressing that AI applications are ubiquitous, both in the private and public sectors. Applications today include: health care, education, employment-related decision-making, finance, law enforcement, and the legal …

The Easterbrook Theorem: An Application To Digital Markets, Joshua D. Wright, Murat C. Mungan

Faculty Scholarship

The rise of large firms in the digital economy, including Amazon, Apple, Facebook, and Google, has rekindled the debate about monopolization law. There are proposals to make finding liability easier against alleged digital monopolists by relaxing substantive standards; to flip burdens of proof; and to overturn broad swaths of existing Supreme Court precedent, and even to condemn a law review article. Frank Easterbrook’s seminal 1984 article, The Limits of Antitrust, theorizes that Type I error costs are greater than Type II error costs in the antitrust context, a proposition that has been woven deeply into antitrust law by the Supreme …