My research primarily concerns the empirical legal analysis of prolonged vehicle detentions based on reasonable suspicion of drug trafficking. My main focuses are the automatic identification of relevant facts and how interpretable machine learning methods can be used to gain insights about case outcomes.
mag454 AT pitt DOT edu
Intelligent Systems Program
University of Pittsburgh
Teaching
Courses Taught
Duquesne University, Thomas R. Kline School of Law- Title: Programming for Lawyers
Description:This is an introductory course on the Python programming language customized for law students that have little to no programming experience. We cover the basics of the language including basic syntax, data types, basic operations, built in functions, user defined functions, basic data structures, and iteration. We touch on more complicated topics such as object oriented programming and give an introduction as to how programming is currently being used in the legal domain. Students are required to complete two homework assignments a week, an individual project, and a final project solving a problem, or starting to solve a problem that is faced by the legal domain.
Offerings: Fall 2022, 2023
Selected Publications
Peer-reviewed- Empirical Legal Analysis Simplified: Reducing Complexity through Automatic Identification and Evaluation of Legally Relevant Factors
Year: 2024
Authors: Morgan Gray, Jaromir Savelka, Wesley Oliver, Kevin Ashley
Philosophical Transactions of the Royal Society A - Can GPT Reduce The Burden of Annotation?
Year: 2023
Authors: Morgan Gray, Jaromir Savelka, Wesley Oliver, Kevin Ashley
Legal Knowledge and Information Systems (JURIX 2023) - Can AI Reduce Illegal Drug Stops?
Year: 2023
Authors: Wesley Oliver, Morgan Gray, Jaromir Savelka, Kevin Ashley
91 U. Cin. L. Rev. Forthcoming 2024 - Automatic Identification and Empirical Analysis of Legally Relevant Factors
Year: 2023
Authors: Morgan Gray, Jaromir Savelka, Wesley Oliver, Kevin Ashley
In: Proceedings of the Nineteenth International Conference of Artificial Intelligence and Law (ICAIL 2023) - Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?
Year: 2023
Authors: Jaromir Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, and Huihui Xu
In: Proceedings of the Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023) - Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
Year: 2023
Authors: Jaromir Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, and Huihui Xu
In: Proceedings of the Workshop on AI for Legislation (AI4Legs 2023) - Toward Automatically Identifying Legally Relevant Factors
Year: 2022
Authors: Morgan Gray, Jaromir Savelka, Wesley Oliver, Kevin Ashley
In: Legal Knowledge and Information Systems (JURIX 2022)
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