Law Commons^™

The Unreasonable Effectiveness Of Large Language Models In Zero-Shot Semantic Annotation Of Legal Texts, Jaromir Savelka, Kevin D. Ashley

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The emergence of ChatGPT has sensitized the general public, including the legal profession, to large language models' (LLMs) potential uses (e.g., document drafting, question answering, and summarization). Although recent studies have shown how well the technology performs in diverse semantic annotation tasks focused on legal texts, an influx of newer, more capable (GPT-4) or cost-effective (GPT-3.5-turbo) models requires another analysis. This paper addresses recent developments in the ability of LLMs to semantically annotate legal texts in zero-shot learning settings. Given the transition to mature generative AI systems, we examine the performance of GPT-4 and GPT-3.5-turbo(-16k), comparing it to the previous …

Designing Analog Learning Games: Genre Affordances, Limitations And Multi-Game Approaches, Owen Gottlieb, Ian Schreiber

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This chapter explores what the authors discovered about analog games and game design during the many iterative processes that have led to the Lost & Found series, and how they found certain constraints and affordances (that which an artifact assists, promotes or allows) provided by the boardgame genre. Some findings were counter-intuitive. What choices would allow for the modeling of complex systems, such as legal and economic systems? What choices would allow for gameplay within the time of a class-period? What mechanics could promote discussions of tradeoff decisions? If players are expending too much cognition on arithmetic strategizing, could that …

Acts Of Meaning, Resource Diagrams, And Essential Learning Behaviors: The Design Evolution Of Lost & Found, Owen Gottlieb, Ian Schreiber

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Lost & Found is a tabletop-to-mobile game series designed for teaching medieval religious legal systems. The long-term goals of the project are to change the discourse around religious laws, such as foregrounding the prosocial aspects of religious law such as collaboration, cooperation, and communal sustainability. This design case focuses on the evolution of the design of the mechanics and core systems in the first two tabletop games in the series, informed by over three and a half years’ worth of design notes, playable prototypes, outside design consultations, internal design reviews, playtests, and interviews.

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

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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 …

Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley

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In this Article, we describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker attention, and (2) suggesting simple inferences that can be drawn from that information.

We begin by summarizing the …

Finding Lost & Found: Designer’S Notes From The Process Of Creating A Jewish Game For Learning, Owen Gottlieb

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This article provides context for and examines aspects of the design process of a game for learning. Lost & Found (2017a, 2017b) is a tabletop-to-mobile game series designed to teach medieval religious legal systems, beginning with Moses Maimonides’ Mishneh Torah (1180), a cornerstone work of Jewish legal rabbinic literature. Through design narratives, the article demonstrates the complex design decisions faced by the team as they balance the needs of player engagement with learning goals. In the process the designers confront challenges in developing winstates and in working with complex resource management. The article provides insight into the pathways the team …

Teaching Law And Digital Age Legal Practice With An Ai And Law Seminar: Justice, Lawyering And Legal Education In The Digital Age, Kevin D. Ashley

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A seminar on Artificial Intelligence ("Al") and Law can teach law students lessons about legal reasoning and legal practice in the digital age. Al and Law is a subfield of Al/computer science research that focuses on designing computer programs—computational models—that perform legal reasoning. These computational models are used in building tools to assist in legal practice and pedagogy and in studying legal reasoning in order to contribute to cognitive science and jurisprudence. Today, subject to a number of qualifications, computer programs can reason with legal rules, apply legal precedents, and even argue like a legal advocate.

This article provides a …

Computer-Supported Peer Review In A Law School Context, Kevin D. Ashley, Ilya Goldin

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Legal instructors have been urged to incorporate peer reviewing into law school courses as a way to provide students much needed feedback. Peer review can benefit legal education, but only if law school instructors adopt peer review on a large scale, and for that, computer-supported peer review systems are crucial. These web-based systems orchestrate the mechanics of students submitting written assignments on-line and distributing them to other students for anonymous review, making it considerably easier for instructors to manage.

Beyond the problem of orchestrating mechanics, however, a deeper obstacle to widespread acceptance of peer review in legal education is the …

Learning By Doing: An Experience With Outcomes Assessment, Mary Crossley, Lu-In Wang

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An emphasis on assessment and outcomes measures is a drum beat that is growing louder in American legal education. Prompted initially by the demands of regional university accreditation bodies, the attention paid to outcomes assessment is now growing with the forecast that the ABA will revise its accreditation standards to incorporate outcomes measures. For the past three years, the University of Pittsburgh School of Law has been developing a system for assessing the learning outcomes of its students. By describing our experience here at Pitt Law, with both its high and low points, we hope to suggest some helpful pointers …

Computer Models For Legal Prediction, Kevin D. Ashley, Stephanie Bruninghaus

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Computerized algorithms for predicting the outcomes of legal problems can extract and present information from particular databases of cases to guide the legal analysis of new problems. They can have practical value despite the limitations that make reliance on predictions risky for other real-world purposes such as estimating settlement values. An algorithm's ability to generate reasonable legal arguments also is important. In this article, computerized prediction algorithms are compared not only in terms of accuracy, but also in terms of their ability to explain predictions and to integrate predictions and arguments. Our approach, the Issue-Based Prediction algorithm, is a program …

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

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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

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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. …