Tax Law

In recent years, disruptive legal technology has been on the rise. Currently, several AI-based tools are being deployed across the legal field, including the judiciary. Although many of these innovative tools claim to make the legal profession more efficient and...

Artificial intelligence is currently in the center of attention of legal professionals. In recent years, a variety of efforts have been made to predict judicial decisions using different machine learning models, but no realistic performance comparison between them is available....

The implementation of artificial intelligence (AI) in work is increasingly common across industries and professions. This study explores professional discourse around perceptions and use of intelligent technologies in the legal industry. Drawing on institutional theory, we conducted 30 semi-structured interviews...

Abstract The growing use of generative artificial intelligence technology (gen-AI) technology in design creation offers valuable tool for increasing efficiency and for widening the creative perspectives of fashion designers. However, adopting AI tools in the fashion design process raises important...

Small school, big impact.

The integration of technology in education has transformed teaching and learning, making digital tools essential in the context of Industry 4.0. However, the rapid evolution of educational technology poses significant legal challenges that must be addressed for effective implementation. This...

Progress in natural language processing technologies (NLP) is a cardinal factor of major socioeconomic importance behind innovative digital products. However, inadequate legal regulation of quality and accessibility of training data is a major obstacle to this technological development. The paper...

Introduction The United States patent system is commonly justified by its provision of economic incentives for innovation.[1] But this justification comes with constant concern that the social benefits of innovation that the patent system stimulates might not outweigh the sum...

Abstract Artificial intelligence (AI) promises major gains in productivity, safety and convenience through automation. Despite the associated euphoria, care needs to be taken to ensure that no immature, unsafe products enter the market, especially in high-risk areas. Artificial intelligence systems...

Abstract Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from...

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....

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 &...

Introduction Contestation over methodology remains an enduring friction point in the discourse on the Takings Clause. For decades, the Supreme Court’s takings jurisprudence has vacillated between categorical, per se reasoning and contextual, ad hoc inquiries into what fairness and justice...

2026 Winter Mingle January 28th, 2026 at the Music City Center in Nashville, TNThis year’s Winter Mingle will take a slightly different approach, bringing together all VLS students for the event. It’s an excellent opportunity to connect with students and...

In Loper Bright v. Raimondo, the Supreme Court adopted and deployed a particular narrative about agency action in support of overruling Chevron: Agencies reverse their own statutory interpretations “as much as [they] like[],” creating pervasive instability in the law, thereby...

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...

The integration of Artificial Intelligence (AI) in recruitment processes has revolutionized hiring by increasing efficiency, reducing time-to-hire, and enabling data-driven decision-making. However, despite these advancements, concerns about algorithmic bias and fairness remain central to ethical AI deployment. This paper explores...

AI-driven healthcare systems perpetuate gendered and racialised health inequalities, misdiagnosing marginalised populations due to historical exclusions in medical research and dataset construction. These disparities are further reinforced by androcentric medical epistemologies where white male bodies are treated as the universal...