System L: Toward System 2-Style Legal Reasoning

Authors

  • Chuanyi Li Nanjing University
  • Yi Feng Nanjing University
  • Vincent Ng University of Texas at Dallas

DOI:

https://doi.org/10.1609/aaai.v40i46.41328

Abstract

Dual-system theory distinguishes between fast, intuitive System 1 and slow, deliberative System 2. While this dichotomy describes many forms of reasoning, it oversimplifies the reality of expert legal reasoning. Legal reasoning is not merely a process of slow, logical deliberation. It is intrinsically normative, embedding precedent analysis, statutory interpretation, policy balancing, and social values. This paper envisions a reasoning architecture for legal reasoning, System L (Legal System 2), which extends traditional System 2 by integrating domain-specific normative frameworks in a structured manner. Using the IRAC (Issue–Rule–Application–Conclusion) structure as a backbone model, System L represents a blueprint for the next generation of cognitive and AI systems capable of human-like legal reasoning.

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Published

2026-03-14

How to Cite

Li, C., Feng, Y., & Ng, V. (2026). System L: Toward System 2-Style Legal Reasoning. Proceedings of the AAAI Conference on Artificial Intelligence, 40(46), 39728–39736. https://doi.org/10.1609/aaai.v40i46.41328