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Articles 1 - 14 of 14
Full-Text Articles in Legal Writing and Research
Artificial Intelligence And Legal Malpractice Liability, Vincent R. Johnson
Artificial Intelligence And Legal Malpractice Liability, Vincent R. Johnson
St. Mary's Journal on Legal Malpractice & Ethics
No abstract provided.
Generative Ai And Finding The Law, Paul D. Callister
Generative Ai And Finding The Law, Paul D. Callister
Faculty Works
Legal information science requires, among other things, principles and theories. The article states six principles or considerations that any discussion of generative AI large language models and their role in finding the law must include. The article concludes that law librarianship will increasingly become legal information science and require new paradigms. In addition to the six principles, the article applies ecological holistic media theory to understand the relationship of the legal community’s cognitive authority, institutions, techné (technology, medium and method), geopolitical factors, and the past and future to understand the changes in this information milieu. The article also explains generative …
Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin
Ai, New Technologies, And Corporate Governance: Three Phenomena, Martin Petrin
Seattle University Law Review
Artificial intelligence (AI) and other new technologies are increasingly influencing the operations, business models, and structures of companies. This Article focuses on three emerging phenomena that impact significant aspects of corporate governance and regulation: (1) perforation and blurring of firm boundaries through the ubiquitous use of externally provided AI services; (2) businesses engaging in strategic access and leveraging of critical resources held by third parties without owning them; and (3) the unusual hybrid role of online platforms between market facilitators and markets themselves. The Article explores how these phenomena challenge traditional views of firms as separate units, with technology leading …
Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson
Training Is Everything: Artificial Intelligence, Copyright, And “Fair Training”, Andrew W. Torrance, Bill Tomlinson
Dickinson Law Review (2017-Present)
In this Essay, we analyze the arguments in favor of, and against, viewing the use of copyrighted works in training sets for AI as fair use. We call this form of fair use “fair training.” We identify both strong and spurious arguments on both sides of this debate. In addition, we attempt to take a broader perspective, weighing the societal costs (e.g., replacement of certain forms of human employment) and benefits (e.g., the possibility of novel AI-based approaches to global issues such as environmental disruption) of allowing AI to make easy use of copyrighted works as training sets to facilitate …
Luck Of The Draw Iii: Using Ai To Examine Decision‐Making In Federal Court Stays Of Removal, Sean Rehaag
Luck Of The Draw Iii: Using Ai To Examine Decision‐Making In Federal Court Stays Of Removal, Sean Rehaag
All Papers
This article examines decision‐making in Federal Court of Canada immigration law applications for stays of removal, focusing on how the rates at which stays are granted depend on which judge decides the case. The article deploys a form of computational natural language processing, using a large‐language model machine learning process (GPT‐3) to extract data from online Federal Court dockets. The article reviews patterns in outcomes in thousands of stay of removal applications identified through this process and reveals a wide range in stay grant rates across many judges. The article argues that the Federal Court should take measures to encourage …
A Human Being Wrote This Law Review Article: Gpt-3 And The Practice Of Law, Amy B. Cyphert
A Human Being Wrote This Law Review Article: Gpt-3 And The Practice Of Law, Amy B. Cyphert
Law Faculty Scholarship
Artificial intelligence tools can now “write” in such a sophisticated manner that they fool people into believing that a human wrote the text. None are better at writing than GPT-3, released in 2020 for beta testing and coming to commercial markets in 2021. GPT-3 was trained on a massive dataset that included scrapes of language from sources ranging from the NYTimes to Reddit boards. And so, it comes as no surprise that researchers have already documented incidences of bias where GPT-3 spews toxic language. But because GPT-3 is so good at “writing,” and can be easily trained to write in …
Ai For Retrospective Review, Catherine M. Sharkey
Ai For Retrospective Review, Catherine M. Sharkey
Belmont Law Review
No abstract provided.
Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister
Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister
Faculty Works
Renowned legal educator Roscoe Pound stated, “Law must be stable and yet it cannot stand still.” Yet, as Susan Nevelow Mart has demonstrated in a seminal article that the different online research services (Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel and Casetext) produce significantly different results when researching case law. Furthermore, a recent study of 325 federal courts of appeals decisions, revealed that only 16% of the cases cited in appellate briefs make it into the courts’ opinions. This does not exactly inspire confidence in legal research or its tools to maintain stability of the law. As Robert Berring foresaw, …
Implementing User Rights For Research In The Field Of Artificial Intelligence: A Call For International Action, Sean Flynn, Christophe Geiger, Joao Pedro Quintais, Thomas Margoni, Matthew Sag, Lucie Guibault, Michael W. Carroll
Implementing User Rights For Research In The Field Of Artificial Intelligence: A Call For International Action, Sean Flynn, Christophe Geiger, Joao Pedro Quintais, Thomas Margoni, Matthew Sag, Lucie Guibault, Michael W. Carroll
Articles, Book Chapters, & Popular Press
Last year, before the onset of a global pandemic highlighted the critical and urgent need for technology-enabled scientific research, the World Intellectual Property Organization (WIPO) launched an inquiry into issues at the intersection of intellectual property (IP) and artificial intelligence (AI). We contributed comments to that inquiry, with a focus on the application of copyright to the use of text and data mining (TDM) technology. This article describes some of the most salient points of our submission and concludes by stressing the need for international leadership on this important topic. WIPO could help fill the current gap on international leadership, …
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Georgia State University Law Review
This paper surveys three basic legal-text analytic techniques—ML, network diagrams, and question answering (QA)—and illustrates how some currently available commercial applications employ or combine them. It then examines how well the text analytic techniques can answer legal questions given some inherent limitations in the technology. In more detail, ML refers to computer programs that use statistical means to induce or learn models from data with which they can classify a document or predict an outcome for a new case. Predictive coding techniques employed in e-discovery have already introduced ML from text into law firms. Network diagrams graph the relations between …
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Georgia State University Law Review
Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor– examiner interaction to machine–human interactions. In response to automated patent drafting, automated office-action responses, “cloems” (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor–examiner relationship as a “patenting market,” economic principles suggest stronger efficiencies if both inventors and the USPTO have better …
Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen
Predicting Chapter 11 Bankruptcy Case Outcomes Using The Federal Judicial Center Idb And Ensemble Artificial Intelligence, Warren E. Agin, Gill Eapen
Georgia State University Law Review
In this project, the authors obtained public data on over 100,000 Chapter 11 bankruptcy cases and used machine and deep-learning methodologies to explore whether models could be designed to predict Chapter 11 case outcomes. The data used was obtained from the Federal Judicial Center’s bankruptcy Integrated Database and included information about case filing dates, the court where the case was filed, the type of business entity, and basic information about assets and liabilities. Using this information, the authors initially sought to predict whether a particular case was dismissed, converted to another Chapter under the Bankruptcy Code, or closed with a …
Legal Intelligence Through Artificial Intelligence Requires Emotional Intelligence: A New Competency Model For The 21st Century Legal Professional, Alyson Carrel
Georgia State University Law Review
The nature of legal services is drastically changing given the rise in the use of artificial intelligence and machine learning. Legal education and training models are beginning to recognize the need to incorporate skill building in data and technology platforms, but they have lost sight of a core competency for lawyers: problem-solving and decision-making skills to counsel clients on how best to meet their desired goals and needs. In 2014, Amani Smathers introduced the legal field to the concept of the T-shaped lawyer. The T-shaped lawyer stems from the concept of T-shaped professionals who have a depth of knowledge in …
You Get The Law - And You Get The Law - And You Get The Law, Shannon M. Roddy
You Get The Law - And You Get The Law - And You Get The Law, Shannon M. Roddy
Newsletters & Other Publications
No abstract provided.