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Full-Text Articles in Law
Exams In The Time Of Chatgpt, Margaret Ryznar
Exams In The Time Of Chatgpt, Margaret Ryznar
Washington and Lee Law Review Online
Invaluable guidance has emerged regarding online teaching in recent years, but less so concerning online and take-home final exams. This article offers various methods to administer such exams while maintaining their integrity—after asking artificial intelligence writing tool ChatGPT for its views on the matter. The sophisticated response of the chatbot, which students can use in their written work, only raises the stakes of figuring out how to administer exams fairly.
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 five 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 five 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 …
Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon
Using Artificial Intelligence In The Law Review Submissions Process, Brenda M. Simon
Faculty Scholarship
The use of artificial intelligence to help editors examine law review submissions may provide a way to improve an overburdened system. This Article is the first to explore the promise and pitfalls of using artificial intelligence in the law review submissions process. Technology-assisted review of submissions offers many possible benefits. It can simplify preemption checks, prevent plagiarism, detect failure to comply with formatting requirements, and identify missing citations. These efficiencies may allow editors to address serious flaws in the current selection process, including the use of heuristics that may result in discriminatory outcomes and dependence on lower-ranked journals to conduct …
The Limits Of Law And Ai, Ryan Mccarl
The Limits Of Law And Ai, Ryan Mccarl
University of Cincinnati Law Review
For thirty years, scholars in the field of law and artificial intelligence (AI) have explored the extent to which lawyers and judges can be assisted by computers. This Article describes the medium-term outlook for AI technologies and explains the obstacles to making legal work computable. I argue that while AI-based software is likely to improve legal research and support human decision making, it is unlikely to replace traditional legal work or otherwise transform the practice of law.
Law Library Blog (February 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (February 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
No abstract provided.
Law Library Blog (January 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (January 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
No abstract provided.
Technology And The (Re)Construction Of Law, Christian Sundquist
Technology And The (Re)Construction Of Law, Christian Sundquist
Articles
Innovative advancements in technology and artificial intelligence have created a unique opportunity to re-envision both legal education and the practice of law. The COVID-19 pandemic has accelerated the technological disruption of both legal education and practice, as remote work, “Zoom” client meetings, virtual teaching, and online dispute resolution have become increasingly normalized. This essay explores how technological innovations in the coronavirus era are facilitating radical changes to our traditional adversarial system, the practice of law, and the very meaning of “legal knowledge.” It concludes with suggestions on how to reform legal education to better prepare our students for the emerging …
Law Library Blog (November 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Blog (November 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law
Law Library Newsletters/Blog
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, …
A New Frontier Facing Attorneys And Paralegals: The Promise & Challenges Of Artificial Intelligence As Applied To Law & Legal Decision-Making, Marissa Moran
Publications and Research
Artificial Intelligence/AI invisibly navigates and informs our lives today and may also be used to determine a client’s legal fate. Through executive order, statements by a U.S. Supreme Court justice and a Congressional Commission on AI, all three branches of the United States government have addressed the use of AI to resolve societal and legal matters. Pursuant to the American Bar Association Model Rules of Professional Conduct[i] and New York Rules of Professional Conduct (NYRPC), [ii] the legal profession recognizes the need for competency in technology which requires both substantive knowledge of law and competent use of technology for …
Artificial Intelligence And Law: An Overview, Harry Surden
Artificial Intelligence And Law: An Overview, Harry Surden
Georgia State University Law Review
Much has been written recently about artificial intelligence (AI) and law. But what is AI, and what is its relation to the practice and administration of law? This article addresses those questions by providing a high-level overview of AI and its use within law. The discussion aims to be nuanced but also understandable to those without a technical background. To that end, I first discuss AI generally. I then turn to AI and how it is being used by lawyers in the practice of law, people and companies who are governed by the law, and government officials who administer the …
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 …
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 …
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley
Articles
This paper examines impressive new applications of legal text analytics in automated contract review, litigation support, conceptual legal information retrieval, and legal question answering against the backdrop of some pressing technological constraints. First, artificial intelligence (Al) programs cannot read legal texts like lawyers can. Using statistical methods, Al can only extract some semantic information from legal texts. For example, it can use the extracted meanings to improve retrieval and ranking, but it cannot yet extract legal rules in logical form from statutory texts. Second, machine learning (ML) may yield answers, but it cannot explain its answers to legal questions or …
Teaching Law And Digital Age Legal Practice With An Ai And Law Seminar, Kevin D. Ashley
Teaching Law And Digital Age Legal Practice With An Ai And Law Seminar, Kevin D. Ashley
Chicago-Kent Law Review
This article provides a guide and examples for using a seminar on Artificial Intelligence (AI) and Law to teach lessons about legal reasoning and about legal practice in the digital age. Artificial Intelligence and Law is a subfield of AI/ computer science research that focuses on computationally modeling legal reasoning. In at least a few law schools, the AI and Law seminar has regularly taught students fundamental issues about law and legal reasoning by focusing them on the problems these issues pose for scientists attempting to computationally model legal reasoning. AI and Law researchers have designed programs to reason with …
Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley
Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley
Articles
Electronic casebooks offer important benefits of flexibility in control of presentation, connectivity, and interactivity. These additional degrees of freedom, however, also threaten to overwhelm students. If casebook authors and instructors are to achieve their pedagogical goals, they will need new methods for guiding students. This paper presents three such methods developed in an intelligent tutoring environment for engaging students in legal role-playing, making abstract concepts explicit and manipulable, and supporting pedagogical dialogues. This environment is built around a program known as CATO, which employs artificial intelligence techniques to teach first-year law students how to make basic legal arguments with cases. …