3 papers
cs.CL2026
Thinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning
Li Zhang, Matthias Grabmair, Morgan Gray +1
Case-based reasoning is a cornerstone of U.S. legal practice, requiring professionals to argue about a current case by drawing analogies to and distinguishing from past precedents.…
cs.CL2025
Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments
Li Zhang, Morgan Gray, Jaromir Savelka +1
Large Language Models (LLMs) demonstrate potential in complex legal tasks like argument generation, yet their reliability remains a concern. Building upon pilot work assessing LLM…
cs.CL2024
Using LLMs to Discover Legal Factors
Morgan Gray, Jaromir Savelka, Wesley Oliver +1
Factors are a foundational component of legal analysis and computational models of legal reasoning. These factor-based representations enable lawyers, judges, and AI and Law resear…