Explaining and Arguing With Examples. - Edwina L. Rissland; Eduardo M. Valcarce; Kevin D. Ashley (AAAI, 1984)

Hypotheticals as Heuristic Device. - Edwina L. Rissland; Kevin D. Ashley (AAAI, 1986)

Compare and Contrast: A Test of Expertise. - Kevin D. Ashley; Edwina L. Rissland (AAAI, 1987)

But, See, Accord: Generating Blue Book Citations in HYPO. - Kevin D. Ashley; Edwina L. Rissland (ICAIL, 1987)

A Case-Based System for Trade Secrets Law. - Edwina L. Rissland; Kevin D. Ashley (ICAIL, 1987)

Waiting on Weighting: A Symbolic Least Commitment Approach. - Kevin D. Ashley; Edwina L. Rissland (AAAI, 1988)

A Case-Based Approach to Modeling Legal Expertise. - Kevin D. Ashley; Edwina L. Rissland (IEEE Expert, 1988)

Toward a Computational Theory of Arguing with Precedents. - Kevin D. Ashley (ICAIL, 1989)

Defining Salience in Case-Based Arguments. - Kevin D. Ashley (IJCAI, 1989)

Modeling legal argument - reasoning with cases and hypotheticals. - Kevin D. Ashley (MIT Press, 1990)

Toward an Intelligent Tutoring System for Teaching Law Students to Argue with Cases. - Kevin D. Ashley; Vincent Aleven (ICAIL, 1991)

Reasoning with Cases and Hypotheticals in HYPO. - Kevin D. Ashley (Int. J. Man Mach. Stud., 1991)

Generating Dialectical Examples Automatically. - Kevin D. Ashley; Vincent Aleven (AAAI, 1992)

Automated Generation of Examples for a Tutorial in Case-Based Argumentation. - Vincent Aleven; Kevin D. Ashley (Intelligent Tutoring Systems, 1992)

Case-based reasoning and its implications for legal expert systems. - Kevin D. Ashley (Artif. Intell. Law, 1992)

A Logical Representation for Relevance Criteria. - Kevin D. Ashley; Vincent Aleven (EWCBR, 1993)

What Law Students Need to Know to WIN. - Vincent Aleven; Kevin D. Ashley (ICAIL, 1993)

An Instructional Environment for Practicing Argumentation Skills. - Vincent Aleven; Kevin D. Ashley (AAAI, 1994)

A CBR Knowledge Representation for Practical Ethics. - Kevin D. Ashley; Bruce M. McLaren (EWCBR, 1994)

Doing Things with Factors. - Vincent Aleven; Kevin D. Ashley (ICAIL, 1995)

Context Sensitive Case Comparisons in Practical Ethics: Reasoning About Reasons. - Bruce M. McLaren; Kevin D. Ashley (ICAIL, 1995)

Reasoning with Reasons in Case-Based Comparisons. - Kevin D. Ashley; Bruce M. McLaren (ICCBR, 1995)

How Different Is Different? Arguing About the Significance of Similarities and Differences. - Vincent Aleven; Kevin D. Ashley (EWCBR, 1996)

Evaluating a Learning Environment for Case-Based Argumentation Skills. - Vincent Aleven; Kevin D. Ashley (ICAIL, 1997)

Finding Factors: Learning to Classify Case Opinions Under Abstract Fact Categories. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 1997)

Using Machine Learning for Assigning Indices to Textual Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 1997)

Reasoning Symbolically About Partially Matched Cases. - Kevin D. Ashley; Vincent Aleven (IJCAI (1), 1997)

Exploring the Dialectic Between Abstract Rules and Concrete Facts: Operationalizing Principles and Cases in Engineering Ethics. - Bruce M. McLaren; Kevin D. Ashley (EWCBR, 1998)

Toward adding knowledge to learning algorithms for indexing legal cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 1999)

Bootstrapping Case Base Development with Annotated Case Summaries. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 1999)

Case Representation, Acquisition, and Retrieval in SIROCCO. - Bruce M. McLaren; Kevin D. Ashley (ICCBR, 1999)

Assessing Relevance with Extensionally Defined Principles and Cases. - Bruce M. McLaren; Kevin D. Ashley (AAAI/IAAI, 2000)

An AI investigation of citation's cognitive role. - Kevin D. Ashley; Bruce M. McLaren (ICAIL, 2001)

Improving the representation of legal case texts with information extraction methods. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2001)

Introducing PETE: computer support for teaching ethics. - Ilya M. Goldin; Kevin D. Ashley; Rosa Lynn Pinkus (ICAIL, 2001)

The Role of Information Extraction for Textual CBR. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2001)

Helping a CBR Program Know What It Knows. - Bruce M. McLaren; Kevin D. Ashley (ICCBR, 2001)

Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations. - Kevin D. Ashley; Ravi Desai; John M. Levine (Intelligent Tutoring Systems, 2002)

An AI model of case-based legal argument from a jurisprudential viewpoint. - Kevin D. Ashley (Artif. Intell. Law, 2002)

A note on dimensions and factors. - Edwina L. Rissland; Kevin D. Ashley (Artif. Intell. Law, 2002)

Predicting Outcomes of Case-Based Legal Arguments. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2003)

Experimental Design for Evaluating an AI and Law Program. - Stefanie Brüninghaus; Kevin D. Ashley (Evaluation of Legal Reasoning and Problem-Solving Systems, 2003)

Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2003)

Law, learning and representation. - Kevin D. Ashley; Edwina L. Rissland (Artif. Intell., 2003)

AI and Law: A fruitful synergy. - Edwina L. Rissland; Kevin D. Ashley; Ronald Prescott Loui (Artif. Intell., 2003)

Toward supporting hypothesis formation and testing in an interpretive domain. - Vincent Aleven; Kevin D. Ashley (AIED, 2005)

Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment. - Vincent Aleven; Kevin D. Ashley; Collin F. Lynch (ICAIL, 2005)

Generating Legal Arguments and Predictions from Case Texts. - Stefanie Brüninghaus; Kevin D. Ashley (ICAIL, 2005)

Reasoning with Textual Cases. - Stefanie Brüninghaus; Kevin D. Ashley (ICCBR, 2005)

Towards Modeling Systematic Interpretation of Codified Law. - Matthias Grabmair; Kevin D. Ashley (JURIX, 2005)

Case-based reasoning and law. - Edwina L. Rissland; Kevin D. Ashley; Karl Branting (Knowl. Eng. Rev., 2005)

Textual case-based reasoning. - Rosina O. Weber; Kevin D. Ashley; Stefanie Brüninghaus (Knowl. Eng. Rev., 2005)

Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. - Stefanie Brüninghaus; Kevin D. Ashley (AAAI, 2006)

Schwachstellenermittlung und Rückmeldungsprinzipen in einem intelligenten Tutorensystem für juristische Argumentation. - Niels Pinkwart; Vincent Aleven; Kevin D. Ashley; Collin F. Lynch (DeLFI, 2006)

Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques. - Niels Pinkwart; Vincent Aleven; Kevin D. Ashley; Collin F. Lynch (Intelligent Tutoring Systems, 2006)

AIED Applications in Ill-Defined Domains. - Vincent Aleven; Kevin D. Ashley; Collin F. Lynch; Niels Pinkwart (AIED, 2007)

Evaluating Legal Argument Instruction with Graphical Representations Using LARGO. - Niels Pinkwart; Vincent Aleven; Kevin D. Ashley; Collin F. Lynch (AIED, 2007)

Interpretive Reasoning with Hypothetical Cases. - Kevin D. Ashley (FLAIRS, 2007)

Learning by diagramming Supreme Court oral arguments. - Kevin D. Ashley; Niels Pinkwart; Collin F. Lynch; Vincent Aleven (ICAIL, 2007)

Student's Usage of Multiple Linked Argument Representations in LARGO. - Niels Pinkwart; Collin F. Lynch; Kevin D. Ashley; Vincent Aleven (MuC, 2007)

Argument graph classification with Genetic Programming and C4.5. - Collin F. Lynch; Kevin D. Ashley; Niels Pinkwart; Vincent Aleven (EDM, 2008)

Some Thoughts on Using Computers to Teach Argumentation. - Kevin D. Ashley (FLAIRS, 2008)

Graph Grammars: An ITS Technology for Diagram Representations. - Niels Pinkwart; Kevin D. Ashley; Vincent Aleven; Collin F. Lynch (FLAIRS, 2008)

Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?. - Niels Pinkwart; Collin F. Lynch; Kevin D. Ashley; Vincent Aleven (Intelligent Tutoring Systems, 2008)

A Process Model of Legal Argument with Hypotheticals. - Kevin D. Ashley; Collin F. Lynch; Niels Pinkwart; Vincent Aleven (JURIX, 2008)

Computational Argument as a Diagnostic Tool: The role of reliability. - Collin F. Lynch; Kevin D. Ashley; Niels Pinkwart; Vincent Aleven (AAAI Fall Symposium: The Uses of Computational Argumentation, 2009)

Assessing Argument Diagrams in an Ill-defined Domain. - Niels Pinkwart; Collin F. Lynch; Kevin D. Ashley; Vincent Aleven (AIED, 2009)

What a Legal CBR Ontology Should Provide. - Kevin D. Ashley (FLAIRS, 2009)

Ontological requirements for analogical, teleological, and hypothetical legal reasoning. - Kevin D. Ashley (ICAIL, 2009)

Using critical questions to disambiguate and formalize statutory provisions. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2009)

Toward assessing law students' argument diagrams. - Collin F. Lynch; Kevin D. Ashley; Niels Pinkwart; Vincent Aleven (ICAIL, 2009)

Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples. - Kevin D. Ashley; Collin F. Lynch; Niels Pinkwart; Vincent Aleven (ICCBR, 2009)

Argument Diagramming and Diagnostic Reliability. - Collin F. Lynch; Kevin D. Ashley; Niels Pinkwart; Vincent Aleven (JURIX, 2009)

Concepts, Structures, and Goals: Redefining Ill-Definedness. - Collin F. Lynch; Kevin D. Ashley; Niels Pinkwart; Vincent Aleven (Int. J. Artif. Intell. Educ., 2009)

Evaluating an Intelligent Tutoring System for Making Legal Arguments with Hypotheticals. - Niels Pinkwart; Kevin D. Ashley; Collin F. Lynch; Vincent Aleven (Int. J. Artif. Intell. Educ., 2009)

Teaching a process model of legal argument with hypotheticals. - Kevin D. Ashley (Artif. Intell. Law, 2009)

Automatically classifying case texts and predicting outcomes. - Kevin D. Ashley; Stefanie Brüninghaus (Artif. Intell. Law, 2009)

Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. - Ilya M. Goldin; Kevin D. Ashley (Intelligent Tutoring Systems (1), 2010)

Argumentation with Value Judgments - An Example of Hypothetical Reasoning. - Matthias Grabmair; Kevin D. Ashley (JURIX, 2010)

Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings. - Kevin D. Ashley; Will Bridewell (Artif. Intell. Law, 2010)

The Case-Based Reasoning Approach: Ontologies for Analogical Legal Argument. - Kevin D. Ashley (Approaches to Legal Ontologies, 2011)

Peering Inside Peer Review with Bayesian Models. - Ilya M. Goldin; Kevin D. Ashley (AIED, 2011)

Facilitating case comparison using value judgments and intermediate legal concepts. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2011)

Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasoner. - Bruce M. McLaren; Kevin D. Ashley (ICAIL, 2011)

Toward AI-enhanced Computer-supported Peer Review in Legal Education. - Kevin D. Ashley; Ilya M. Goldin (JURIX, 2011)

Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. - Matthias Grabmair; Kevin D. Ashley; Rebecca Hwa; Patricia M. Sweeney (JURIX, 2011)

Comparing Argument Diagrams. - Collin F. Lynch; Kevin D. Ashley; Mohammad Hassan Falakmasir (JURIX, 2012)

A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. - Trevor J. M. Bench-Capon; Michal Araszkiewicz; Kevin D. Ashley; Katie Atkinson; Floris Bex; Filipe Borges; Danièle Bourcier; Paul Bourgine; Jack G. Conrad; Enrico Francesconi; Thomas F. Gordon; Guido Governatori; et al. (Artif. Intell. Law, 2012)

Using Argument Diagramming to Improve Peer Grading of Writing Assignments. - Mohammad Hassan Falakmasir; Kevin D. Ashley; Christian D. Schunn (AIED Workshops, 2013)

Toward constructing evidence-based legal arguments using legal decision documents and machine learning. - Kevin D. Ashley; Vern R. Walker (ICAIL, 2013)

Using event progression to enhance purposive argumentation in the value judgment formalism. - Matthias Grabmair; Kevin D. Ashley (ICAIL, 2013)

From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study. - Kevin D. Ashley; Vern R. Walker (JURIX, 2013)

Applying Argument Extraction to Improve Legal Information Retrieval. - Kevin D. Ashley (ArgNLP, 2014)

Empirically Valid Rules for Ill-Defined Domains. - Collin F. Lynch; Kevin D. Ashley (EDM, 2014)

Matching Hypothesis Text in Diagrams and Essays. - Collin F. Lynch; Mohammad Hassan Falakmasir; Kevin D. Ashley (EDM, 2014)

Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review. - Mohammad Hassan Falakmasir; Kevin D. Ashley; Christian D. Schunn; Diane J. Litman (Intelligent Tutoring Systems, 2014)

Can Diagrams Predict Essay Grades? - Collin F. Lynch; Kevin D. Ashley; Min Chi (Intelligent Tutoring Systems, 2014)

Mining Information from Statutory Texts in Multi-Jurisdictional Settings. - Jaromír Savelka; Matthias Grabmair; Kevin D. Ashley (JURIX, 2014)

Improving Science Writing in Research Methods Classes Through Computerized Argument Diagramming. - Brendan Barstow; Christian D. Schunn; Lisa Fazio; Mohammad Hassan Falakmasir; Kevin D. Ashley (CogSci, 2015)

Understanding Revision Planning in Peer-Reviewed Writing. - Alok Baikadi; Christian Schunn; Kevin D. Ashley (EDM, 2015)

Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. - Matthias Grabmair; Kevin D. Ashley; Ran Chen; Preethi Sureshkumar; Chen Wang; Eric Nyberg; Vern R. Walker (ICAIL, 2015)

Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. - Jaromír Savelka; Kevin D. Ashley (ICAIL, 2015)

Applying an Interactive Machine Learning Approach to Statutory Analysis. - Jaromír Savelka; Gaurav Trivedi; Kevin D. Ashley (JURIX, 2015)

Validity and Reliability of an Instrument for Assessing Case Analyses in Bioengineering Ethics Education. - Ilya M. Goldin; Rosa Lynn Pinkus; Kevin D. Ashley (Sci. Eng. Ethics, 2015)

Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. - Jaromír Savelka; Kevin D. Ashley (ArgMining@ACL, 2016)

Impact of Revision Planning on Peer-Reviewed Writing. - Alok Baikadi; Christian D. Schunn; Kevin D. Ashley (EDM (Workshops), 2016)

Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. - Fattaneh Jabbari; Mohammad Hassan Falakmasir; Kevin D. Ashley (FLAIRS, 2016)

Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. - Apoorva Bansal; Zheyuan Bu; Biswajeet Mishra; Silun Wang; Kevin D. Ashley; Matthias Grabmair (JURIX, 2016)

Utilizing Vector Space Models for Identifying Legal Factors from Text. - Mohammad Hassan Falakmasir; Kevin D. Ashley (JURIX, 2017)

Detecting Agent Mentions in U.S. Court Decisions. - Jaromír Savelka; Kevin D. Ashley (JURIX, 2017)

The Impacts of Domain-General vs. Domain-Specific Diagramming Tools on Writing. - Brendan Barstow; Lisa Fazio; Jordan Lippman; Mohammad Hassan Falakmasir; Christian D. Schunn; Kevin D. Ashley (Int. J. Artif. Intell. Educ., 2017)

Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. - Jaromír Savelka; Kevin D. Ashley (JURIX, 2018)

Improving Sentence Retrieval from Case Law for Statutory Interpretation. - Jaromír Savelka; Huihui Xu; Kevin D. Ashley (ICAIL, 2019)

Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice. - Hannes Westermann; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (ICAIL, 2019)

Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. - Linwu Zhong; Ziyi Zhong; Zinian Zhao; Siyuan Wang; Kevin D. Ashley; Matthias Grabmair (ICAIL, 2019)

Teaching Legal Analytics and AI to Law Students. - Kevin D. Ashley (MIREL@JURIX, 2019)

Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. - Hannes Westermann; Jaromír Savelka; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (JURIX, 2019)

Learning to Rank Sentences for Explaining Statutory Terms. - Jaromír Savelka; Kevin D. Ashley (ASAIL@JURIX, 2020)

Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. - Hannes Westermann; Jaromír Savelka; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (JURIX, 2020)

Using Argument Mining for Legal Text Summarization. - Huihui Xu; Jaromír Savelka; Kevin D. Ashley (JURIX, 2020)

Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. - Jaromír Savelka; Kevin D. Ashley (EMNLP (Findings), 2021)

Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. - Jaromír Savelka; Hannes Westermann; Karim Benyekhlef; Charlotte S. Alexander; Jayla C. Grant; David Restrepo Amariles; Rajaa El Hamdani; Sébastien Meeùs; Aurore Clément Troussel; Michal Araszkiewicz; Kevin D. Ashley; Alexandra Ashley; et al. (ICAIL, 2021)

Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. - Huihui Xu; Jaromír Savelka; Kevin D. Ashley (ICAIL, 2021)

Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. - Hannes Westermann; Jaromír Savelka; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (JURIX, 2021)

Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. - Huihui Xu; Jaromír Savelka; Kevin D. Ashley (JURIX, 2021)

Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. - Jaromír Savelka; Hannes Westermann; Karim Benyekhlef; Charlotte S. Alexander; Jayla C. Grant; David Restrepo Amariles; Rajaa El Hamdani; Sébastien Meeùs; Michal Araszkiewicz; Kevin D. Ashley; Alexandra Ashley; Karl Branting; et al. (CoRR, 2021)

YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. - Francesco Sovrano; Kevin D. Ashley; Peter Brusilovsky; Fabio Vitali (iTextbooks@AIED, 2022)

An Annotation Schema for the Detection of Social Bias in Legal Text Corpora. - Ece Gumusel; Vincent Quirante Malic; Devan Ray Donaldson; Kevin D. Ashley; Xiaozhong Liu (iConference (1), 2022)

Toward Automatically Identifying Legally Relevant Factors. - Morgan A. Gray; Jaromír Savelka; Wesley M. Oliver; Kevin D. Ashley (JURIX, 2022)

Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. - Hannes Westermann; Jaromír Savelka; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (JURIX, 2022)

Multi-Granularity Argument Mining in Legal Texts. - Huihui Xu; Kevin D. Ashley (JURIX, 2022)

Legal information retrieval for understanding statutory terms. - Jaromír Savelka; Kevin D. Ashley (Artif. Intell. Law, 2022)

Thirty years of artificial intelligence and law: the third decade. - Serena Villata; Michal Araszkiewicz; Kevin D. Ashley; Trevor J. M. Bench-Capon; Luther Karl Branting; Jack G. Conrad; Adam Wyner 001 (Artif. Intell. Law, 2022)

Data-Centric Machine Learning in the Legal Domain. - Hannes Westermann; Jaromír Savelka; Vern R. Walker; Kevin D. Ashley; Karim Benyekhlef (CoRR, 2022)

Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. - Francesco Sovrano; Kevin D. Ashley; Alberto Bacchelli (iTextbooks@AIED, 2023)

Automatic Identification and Empirical Analysis of Legally Relevant Factors. - Morgan A. Gray; Jaromír Savelka; Wesley M. Oliver; Kevin D. Ashley (ICAIL, 2023)

Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? - Jaromír Savelka; Kevin D. Ashley; Morgan A. Gray; Hannes Westermann; Huihui Xu (ASAIL@ICAIL, 2023)

Argumentative Segmentation Enhancement for Legal Summarization. - Huihui Xu; Kevin D. Ashley (ASAIL@ICAIL, 2023)

Can GPT Alleviate the Burden of Annotation? - Morgan A. Gray; Jaromír Savelka; Wesley M. Oliver; Kevin D. Ashley (JURIX, 2023)

A Question-Answering Approach to Evaluating Legal Summaries. - Huihui Xu; Kevin D. Ashley (JURIX, 2023)

Explaining Legal Concepts with Augmented Large Language Models (GPT-4). - Jaromír Savelka; Kevin D. Ashley; Morgan A. Gray; Hannes Westermann; Huihui Xu (CoRR, 2023)

Question-Answering Approach to Evaluate Legal Summaries. - Huihui Xu; Kevin D. Ashley (CoRR, 2023)

Pervasive Computational Law. - Clement Guitton; Aurelia Tamò-Larrieux; Simon Mayer; Kevin D. Ashley; Matthias Grabmair; Galileo Sartor; Giovanni Sartor; Gijs van Dijck (IEEE Pervasive Comput., 2023)

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. - Jaromír Savelka; Kevin D. Ashley (Frontiers Artif. Intell., 2023)

Using LLMs to Discover Legal Factors. - Morgan A. Gray; Jaromír Savelka; Wesley M. Oliver; Kevin D. Ashley (JURIX, 2024)

Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need? - T. Y. S. S. Santosh; Kevin D. Ashley; Katie Atkinson; Matthias Grabmair (CoRR, 2024)

Generating Case-Based Legal Arguments with LLMs. - Morgan A. Gray; Li Zhang; Kevin D. Ashley (CSLAW, 2025)

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. - Li Zhang; Morgan A. Gray; Jaromír Savelka; Kevin D. Ashley (CoRR, 2025)

Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation. - Li Zhang; Kevin D. Ashley (CoRR, 2025)