A systematic literature review of machine learning methods in predicting court decisions
<span>Envisaging legal cases’ outcomes can assist the judicial decision-making process. Prediction is possible in various cases, such as predicting the outcome of construction litigation, crime-related cases, parental rights, worker types, divorces, and tax law. The machine learning methods can function...
Geometric Conservation Law and Its Application to Flow Computations on Moving Grids
Boundary-conforming coordinate transformations are used widely to map a flow region onto a computational space in which a finite-difference solution to the differential flow conservation laws is carried out. This method entails difficulties with maintenance of global conservation and with...
Academic Calendar
2025-26 Academic Calendar Please note: All times in U.S. Central. EventDate / Time First Registration Appointment Window (all 3Ls)June 16 (YES opens at 12:35 PM) thru June 22 (YES closes at 11:59 PM) Second Registration Appointment Window (all 2Ls/3Ls)June 23...
Pocket Constitutions: America’s Founding Document in Small Print
For a document that is usually found behind glass casing in museums and galleries, many have taken advantage of the ability to carry it in their purse, wallet—or better yet—their pocket. The US Constitution is one of the oldest and...
Protecting Intellectual Property of Deep Neural Networks with Watermarking
Deep learning technologies, which are the key components of state-of-the-art Artificial Intelligence (AI) services, have shown great success in providing human-level capabilities for a variety of tasks, such as visual analysis, speech recognition, and natural language processing and etc. Building...
Patents’ “Self-Consistency” Question: Diversion and Blocking Under a Patent-Racing Model
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...
Narrowing FOIA’s Exemption for Business Secrets
This essay examines the judicial aftermath of Food Marketing Institute v. Argus Leader Media, a controversial 2019 Supreme Court decision that broadened the Freedom of Information Act (FOIA) exemption for trade secrets and confidential commercial…The postNarrowing FOIA’s Exemption for Business...
UW Theme 2.0 is now available!
Welcome the UW Theme! The kitchen sink page is your guide to all the visual page elements currently available through the theme. If you prefer to print out your options, please download the current component key (pdf). This WordPress theme...
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
Machine learning models have become pervasive in our everyday life; they decide on important matters influencing our education, employment and judicial system. Many of these predictive systems are commercial products protected by trade secrets, hence their decision-making is opaque. Therefore,...
Dangerousness & the Undocumented
When code isn’t law: rethinking regulation for artificial intelligence
Abstract This article examines the challenges of regulating artificial intelligence (AI) systems and proposes an adapted model of regulation suitable for AI's novel features. Unlike past technologies, AI systems built using techniques like deep learning cannot be directly analyzed, specified,...
Ethical and preventive legal technology
Abstract Preventive Legal Technology (PLT) is a new field of Artificial Intelligence (AI) investigating the intelligent prevention of disputes. The concept integrates the theories of preventive law and legal technology. Our goal is to give ethics a place in the...
The Necessity of Firearm Stores During the COVID-19 Pandemic
Gun owners and would-be gun purchasers are arguing that state measures to prevent the spread of the novel coronavirus infringe on their Second Amendment rights. To the extent the premise is correct—the Second Amendment guarantees access to a firearm store—it’s...
Predictive Policing for Reform? Indeterminacy and Intervention in Big Data Policing
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...
Profs. Joseph Blocher & Brandon Garrett Discuss “Fact Stripping” with Judge Paul Grimm
November 9, 2023 Last month, Professors Joseph Blocher and Brandon Garrett discussed their recent Article, “Fact Stripping,” with Judge Paul Grimm, the director of the Bolch Judicial Institute. Listen to their conversation below, and read their Article here.The postProfs. Joseph...
Large Language Models for Legal Interpretation? Don’t Take Their Word for It
READY, AIM, FIRE? EVALUATING THE FUTURE OF LIABILITY FOR THE FIREARMS INDUSTRY DURING NEW-WAVE PLCAA LITIGATION - Minnesota Law Review
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...
The Office of Student Life
Holistically minded, the Office provides services and resources that reflect the diversity of needs and issues that law students encounter during their education. Its vision is to send the happiest, healthiest, and most professional law students out into the world...
Auditing Algorithms for Discrimination
This Essay responds to the argument by Joshua Kroll, et al., in Accountable Algorithms, 165 U.PA.L.REV. 633 (2017), that technical tools can be more effective in ensuring the fairness of algorithms than insisting on transparency. When it comes to combating...
Algorithmic Bias in Hiring Algorithms: A Kenyan Perspective
The use of machine learning algorithms has permeated into nearly all aspects of life. With this steady integration, tasks previously handled by humans are increasingly falling into the ‘hands’ of machines. Ideally this would be celebrated as a great improvement...
Headnotes Archive - Minnesota Law Review
Volume 109 Fall Issue Spring Issue Volume 108 Fall Issue Spring Issue Symposium Supplement Volume 107 Fall Issue Spring Issue Volume 106 Fall Issue Spring Issue Volume 105 Fall Issue Spring Issue Volume 104 Compendium: Election Law and in the...
Insurers as Contract Influencers lawreview - Minnesota Law Review
By DAVID A. HOFFMAN & RICK SWEDLOFF. Full Text. Contract boilerplate degrading consumers' litigation options is omnipresent, but a little mysterious. And that's not just because no one reads it. We know that terms mandating arbitration, exculpating liability, requiring individualized...
The Application of Natural Language Processing Technology in Legal Aid and Judicial Practice
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...
AI In The Law Impeded Due To Machine Readability Of Judicial Decisions
Mastheads
The current Wisconsin Law Review Editorial Board and archives of previous mastheads.
2025-26 Symposium - Minnesota Law Review
The Minnesota Law Review invites you to attend the Vol. 110 Symposium, "The Battle Will Not Be Over": 60 Years of the Voting Rights Act. As Lyndon B. Johnson signed the historic Voting Rights Act of 1965, he warned that...
Introduction
The legal profession is facing an era of change driven by technological advancements, environmental crises, shifting client expectations, and evolving societal norms. This article argues that flexibility and resilience are not just positive personality traits but essential legal skills that...
Information Theory and Statistical Mechanics
Information theory provides a constructive criterion for setting up probability distributions on the basis of partial knowledge, and leads to a type of statistical inference which is called the maximum-entropy estimate. It is the least biased estimate possible on the...
Copyright, text & data mining and the innovation dimension of generative AI
Abstract The rise of Generative AI has raised many questions from the perspective of copyright. From the lens of copyright and database rights, issues revolve not only around the authorship of AI-generated outputs, but also the very process that leads...
The International Regulation of Artificial Intelligence Influence on the Information Law of Ukraine
The article is devoted to the international regulation on artificial intelligence influence on the Information Law of Ukraine. It was noted that the principles of regulation of artificial intelligence should be reflected in the Information Law of Ukraine. Based on...