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Author	Mr Zhao
Organisation/Institution	Shanghai Jiao Tong University, KoGuan Law School
Country	CHINA
Panel	Information Technology Law
Title	Case-Based Reasoning in the Context of Legal Artificial Intelligence: An Analysis Centered on CATO System
Abstract	The realization of treating like cases alike through legal artificial intelligence essentially involves simulating analogical reasoning with AI, where analogical arguments form the underlying logic of case-based reasoning systems. By utilizing Brewer's three-part structure of analogical reasoning to analyze case-based reasoning systems represented by CATO, we can clarify the working paradigm of legal AI in the context of treating like cases alike. Employing the dual framework of Analogy-Warranting Rule—Analogy-Warranting Rationales, we can dissect the underlying logical structure of case-based reasoning systems. Additionally, using the evaluation tools of Defeasibility—Rational Force, we can delineate the functional boundaries of these systems.
Biography	I`m a Ph.D. candidate of from Shanghai Jiao Tong University, KoGuan Law School, and a research fellow at the China Institute For Smart Justice Shanghai Jiao Tong University. I received my undergraduate degree from the School of Cyberspace Security of Nankai University, and my master's degree from the School of Law of Nankai University. My research focuses on legal artificial intelligence, analogical legal reasoning and corporate compliance.