Litigation

As methods in legal information retrieval (IR) evolve to meet the demands of rapidly increasing stores of electronic information, there is the intuitive appeal of capturing detail in legal queries with natural language processing (NLP). One difficulty with this approach...

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Abstract Artificial intelligence (AI) has an important role in digital transformation worldwide, including in Indonesia. AI itself is a simulation of human intelligence that is modeled in machines and programmed to think like humans. At the time AI and the...

Introduction The Undergraduate Minor in Legal Studies, designed and taught by Vanderbilt Law faculty, offers a comprehensive introduction to law for Vanderbilt undergraduate students. Through five courses (15 credits) and supplemental programming through Legal Studies and Pre-Law Advising, students will...

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...

Vanderbilt law students are active, public-minded, and come from a variety of backgrounds - all qualities reflected by a wide variety of thriving student organizations at the law school. Even with little free time, most students find it worthwhile to...

The description of a combination of technologies as ‘artificial intelligence’ (AI) is misleading. To ascribe intelligence to a statistical model without human attribution points towards an attempt at shifting legal, social, and ethical responsibilities to machines. This paper exposes the...

Courts agree that the federal government may not seize a person in the United States and immediately ship them off to a prison in another country without providing any opportunity for judicial review. But this basic constitutional rule has proven...

Although computers and digital technologies have existed for many decades, their capabilities today have changed dramatically. Current buzzwords like Big Data, artificial intelligence, robotics, and blockchain are shorthand for further leaps in development. The digitalisation of communication, which is a...

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...

Natural language processing (NLP) technology is an important constituent of artificial intelligence, focusing on the interaction between computers and human natural language, with the aim of enabling computers to understand, analyze, generate and process human languages. The fields of legal...

Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing converts unstructured text into a formal representation that computers can understand and analyze. This technology...

How Not to Democratize Algorithms by Ngozi Okidegbe; Missing Children Discrimination by Itay Ravid & Tanisha Brown; Justifications for Fair Uses by Pamela Samuelson; Section Three of the Fourteenth Amendment from the Perspective of Section Two of the Fourteenth Amendment...

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By: Will Roberts, Volume 108 Staff Member I. MECHANISMS FOR FIREARMS INDUSTRY LIABILITY In 2005, Congress enacted the Protection of Lawful Commerce in Arms Act (PLCAA) which significantly shielded members of the firearms industry from civil liability for over a...

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....

Abstract As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different types of risks that should be identified, assessed, and mitigated. Various AI governance frameworks have been released recently by governments, organizations, and...

This paper reviews the most recent literature on experiments with different Machine Learning, Deep Learning and Natural Language Processing techniques applied to predict judicial and administrative decisions. Among the most outstanding findings, we have that the most used data mining...

Law, interpretations of law, legal arguments, agreements, etc. are typically expressed in writing, leading to the production of vast corpora of legal text.Their analysis, which is at the center of legal practice, becomes increasingly elaborate as these collections grow in...

We are witnessing an accelerated technological evolution that has enabled the development of artificial intelligence in various fields, allowing it to gradually infiltrate the entire society. We intend to cover only a small subset of AI technologies in our paper,...

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The Supreme Court’s recent embrace of “historical practices and understandings” in interpreting the Establishment Clause has emboldened states to challenge forty-five years of precedent prohibiting Ten Commandments displays in public schools. Yet, these states advance…The postTen Commandments Cases: Learning from...

1Interdisciplinary ApproachResearch at Vanderbilt draws on the belief that great breakthroughs happen when different ideas, disciplines and areas of expertise come together. As a result, Vanderbilt is dedicated to fostering cross-disciplinary collaborations that can expand the framework for what is...

Agency rulemakings are a critical component of contemporary governance. This Article argues that there are a distinct set of modalities that characterize how agencies formulate and justify their rules. Just as the well-known modalities of constitutional interpretation capture the norms...

AbstractGovernance efforts for artificial intelligence (AI) are taking on increasingly more concrete forms, drawing on a variety of approaches and instruments from hard regulation to standardisation efforts, aimed at mitigating challenges from high-risk AI systems. To implement these and other...

Text-mining for Lawyers: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse Many questions facing legal scholars and practitioners can be answered only by analysing and interrogating large collections of legal documents: statutes, treaties, judicial decisions and law...

By REBEKAH NINAN. Full Text. lawreview - Minnesota Law Review

The integration of Artificial Intelligence (AI) in various industries has spurred curiosity about its potential role in reshaping the judiciary. This scientific paper delves into the application of AI within the judicial system and examines its potential impact in North...

LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text. The package includes functionality to (i) segment documents, (ii) identify key text such as titles and section headings, (iii) extract...