Litigation

This talk situates the rising field of NLLP in the context of legal scholarship and practice.It will examine how the field relates to existing inquiries in computational law, AI and Law, and computational/empirical legal studies.Similarities, differences, and opportunities for cross-fertilization...

Ganesh Sitaraman Testifies Before U.S. Senate Judiciary Subcommittee The airline industry is not resilient, competitive, or serving the public, and Congress must fix the miserable flying experience, Vanderbilt Law Professor Ganesh Sitaraman testified before the U.S. Senate Judiciary Subcommittee on...

Predictive analytics and artificial intelligence are applied widely across law enforcement agencies and the criminal justice system. Despite criticism that such tools reinforce inequality and structural discrimination, proponents insist that they will nonetheless improve the equality and fairness of outcomes...

Abstract This paper examines racial discrimination and algorithmic bias in predictive policing algorithms (PPAs), an emerging technology designed to predict threats and suggest solutions in law enforcement. We first describe what discrimination is in a case study of Chicago’s PPA....

Examples of discriminatory algorithmic recruitment of workers have triggered a debate on application of the non-discrimination principle in the EU. Algorithms challenge two principles in the system of evidence in EU non-discrimination law. The first is effectiveness, given that due...

The Wisconsin Law Review presents: The Shadow Carceral State Registration available here.Date and Time Friday, September 26 9:00am – 5:30pm CDT Location Madison Museum of Contemporary Art 227 State Street Madison, WI 53703 CLE for this event is pending.Summary On...

By: Alyssa Shaw, Volume 109 Staff Member If the progress towards closing the gender wage gap continues on the trends of the last few years, women will not be compensated equally to men until at least 2067—over a century after...

Judicial documents and judgments are a rich source of information about legal cases, litigants, and judicial decision-makers. Natural language processing (NLP) based approaches have recently received much attention for their ability to decipher implicit information from text. NLP researchers have...

Purpose This study aims to investigate the use of generative artificial intelligence (GenAI) in the legal profession, focusing on its fit with tasks performed by legal practitioners and its impact on performance and adoption. Design/methodology/approach This study uses a mixed...

The idea of artificial legal intelligence stems from a previous wave of artificial intelligence, then called jurimetrics. It was based on an algorithmic understanding of law, celebrating logic as the sole ingredient for proper legal argumentation. However, as Oliver Wendell...

Introduction In the nondelegation doctrine’s “one good year,”[1] Justice Benjamin Cardozo famously denounced a portion of the National Industrial Recovery Act as “delegation running riot.”[2] Ninety years later during oral argument in Learning Resources, Inc. v. Trump[3]—the blockbuster case testing...

Abstract The development of generative AI has significantly impacted the copyright field, particularly in determining the copyright status of AI‐generated content. This paper compares China and the United States (U.S.) by analyzing key cases relevant to this issue. In these...

Why Study at Vanderbilt Law? Our personalized approach, customizable curriculum, and national reach help graduates find success wherever they go. Small by Design At Vanderbilt University Law School, we intentionally keep our student body small to enrich the learning experience....

Abstract The recent computational turn carries the potential to both enrich and destabilise international law research. Epistemologically, it offers a repertoire of data science methods, including network analysis, text processing and analysis, machine learning, and large language and agent-based models....

By Shannon Schooley, Volume 108 Staff Member In 2023, Minnesota legalized recreational cannabis.[1] Although Minnesota followed twenty-two states and the District of Columbia in doing so,[2] its legal landscape presents unique regulatory challenges.[3] Minnesota’s full-scale recreational legalization comes on the...

The kids are not okay. Evidence of decreasing school performance, increasing rates of depression and anxiety, and declining social engagement among minors has created...The postContent Neutrality for Kids: Intermediate Scrutiny for Social Media Age-Verification Lawsappeared first onHarvard Law Review.

Foreword by Miriam Seifter, Robert Yablon & Bree Grossi Wilde; The Next Chapter in Health Care Federalism: Expanding Medicaid from the Ground Up by Michelle Wilde Anderson & Lina Volin; Local Government Standing as State Standing by Katharine Cooney &...

The global integration of artificial intelligence (AI) into legal services has created a critical need for clarity regarding unauthorized practice of law (UPL) rules. Traditionally, UPL rules prohibited unlicensed individuals from engaging in activities legally reserved for qualified attorneys, including,...

Algorithmic decision-making systems have become pervasive across critical domains including employment, housing, healthcare, and criminal justice. While these systems promise enhanced efficiency and objectivity, they increasingly demonstrate patterns of discrimination that perpetuate and amplify existing societal biases. This paper examines...

Artificial intelligence systems deployed through cloud infrastructure have transformed numerous sectors while simultaneously raising critical ethical concerns regarding bias and fairness. This article examines the multifaceted nature of algorithmic bias in cloud AI systems, presenting quantitative evidence of disparities across...

Machine learning fairness enhancement methods based on data bias correction are usually divided into two processes: The determination of sensitive attributes (such as race and gender) and the correction of data bias. In terms of determining sensitive attributes, existing studies...