Law Commons^™

Educating Deal Lawyers For The Digital Age, Heather Hughes

Fordham Law Review

Courses and programs that address law and emerging technologies are proliferating in U.S. law schools. Technology-related issues pervade the curriculum. This Essay presents two instances in which new technologies present challenges for deal lawyers. It explores how exposing students to closing opinions practice can prepare them to engage these challenges. Both examples involve common commercial contexts and lessons relevant to students of business associations and of the Uniform Commercial Code. The first, which deals with enforceability opinion letters, presents technical legal difficulties arising from recent developments in law and technology. The second, involving complex doctrines at the heart of financial …

Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi

Fordham Law Review

A profound shift is occurring in the way many decisions are made, with machines taking greater roles in the decision-making process. Two arguments are often advanced to justify the increasing use of automation and algorithms in decisions. The “Awful Human Argument” asserts that human decision-making is often awful and that machines can decide better than humans. Another argument, the “Better Together Argument,” posits that machines can augment and improve human decision-making. These arguments exert a powerful influence on law and policy.

In this Essay, we contend that in the context of making decisions about humans, these arguments are far too …

If We Could Talk To The Animals, How Should We Discuss Their Legal Rights?, Andrew W. Torrance, Bill Tomlinson

Fordham Law Review

The intricate tapestry of animal communication has long fascinated humanity, with the sophisticated linguistics of cetaceans holding a special place of intrigue due to the cetaceans’ significant brain size and apparent intelligence. This Essay explores the legal implications of the recent advancements in artificial intelligence (AI), specifically machine learning and neural networks, that have made significant strides in deciphering sperm whale (Physeter macrocephalus) communication. We view the ability of a being to communicate as one—but not the only—potential pathway to qualify for legal rights. As such, we investigate the possibility that the ability to communicate should trigger legal …

The Legal Imitation Game: Generative Ai’S Incompatibility With Clinical Legal Education, Jake Karr, Jason Schultz

Fordham Law Review

In this Essay, we briefly describe key aspects of [generative artificial intelligence] that are particularly relevant to, and raise particular risks for, its potential use by lawyers and law students. We then identify three foundational goals of clinical legal education that provide useful frameworks for evaluating technological tools like GenAI: (1) practice readiness, (2) justice readiness, and (3) client-centered lawyering. First is “practice readiness,” which is about ensuring that students have the baseline abilities, knowledge, and skills to practice law upon graduation. Second is “justice readiness,” a concept proposed by Professor Jane Aiken, which is about teaching law students to …

Foreword, Deborah W. Denno, Erica Valencia-Graham

Fordham Law Review

This Foreword overviews an unprecedented Symposium on these wide ranging topics titled The New AI: The Legal and Ethical Implications of ChatGPT and Other Emerging Technologies. Hosted by the Fordham Law Review and cosponsored by Fordham University School of Law’s Neuroscience and Law Center on November 3, 2023, the Symposium brought together attorneys, judges, professors, and scientists to explore the opportunities and risks presented by AI, especially GenAI like ChatGPT. The discussion raised complex questions concerning AI sentience and personal privacy, as well as the future of legal ethics, education, and employment. Although the AI industry uniformly predicts ever more …

Fairness And Fair Use In Generative Ai, Matthew Sag

Fordham Law Review

Although we are still a long way from the science fiction version of “artificial general intelligence” that thinks, feels, and refuses to “open the pod bay doors,” recent advances in machine learning and artificial intelligence (AI) have captured the public’s imagination and lawmakers’ interest. We now have large language models (LLMs) that can pass the bar exam, carry on (what passes for) a conversation about almost any topic, create new music, and create new visual art. These artifacts are often indistinguishable from their human-authored counterparts and yet can be produced at a speed and scale surpassing human ability.

“Generative AI” …

Incremental Improvement Of The Patentability Standard Of Nonobviousness, Kayla Siletti Brown

Fordham Law Review

Patents incentivize innovation, but the face of innovation has changed over the past several decades. Patent law is adapting to the radical growth of the pharmaceutical and biotechnological industries, which produce drugs and biologics respectively. Research and development in these fields is largely incremental—new products are often derived from existing products. However, patents do not protect “obvious” improvements, those that anyone skilled in the relevant scientific field could have discovered through predictable, routine work. The line between incremental R&D and routine, obvious improvements is difficult to draw. The U.S. Court of Appeals for the Federal Circuit and the Patent Trial …