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University of Pittsburgh School of Law

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Full-Text Articles in Social and Behavioral Sciences

The Futures Of Law, Lawyers, And Law Schools: A Dialogue, Sameer M. Ashar, Benjamin H. Barton, Michael J. Madison, Rachel F. Moran Jan 2023

The Futures Of Law, Lawyers, And Law Schools: A Dialogue, Sameer M. Ashar, Benjamin H. Barton, Michael J. Madison, Rachel F. Moran

Articles

On April 19 and 20, 2023, Professors Bernard Hibbitts and Richard Weisberg convened a conference at the University of Pittsburgh School of Law titled “Disarmed, Distracted, Disconnected, and Distressed: Modern Legal Education and the Unmaking of American Lawyers.” Four speakers concluded the event with a spirited conversation about themes expressed during the proceedings. Distilling a lively two days, they asked: what are the most critical challenges now facing US legal education and, by extension, lawyers and the communities they serve? Their agreements and disagreements were striking, so much so that Professors Hibbitts and Weisberg invited those four to extend their …


Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley Jan 2019

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 …


Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley Jan 2004

Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley

Articles

Theorists in ethics and law posit a dialectical relationship between principles and cases; abstract principles both inform and are informed by the decisions of specific cases. Until recently, however, it has not been possible to investigate or confirm this relationship empirically. This work involves a systematic study of a set of ethics cases written by a professional association's board of ethical review. Like judges, the board explains its decisions in opinions. It applies normative standards, namely principles from a code of ethics, and cites past cases. We hypothesized that the board's explanations of its decisions elaborated upon the meaning and …


Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley Jan 2000

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. …