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Construction of Artificial Intelligence Model of Legal Reasoning Based on Judicial Precedents

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DOI: 10.23977/law.2023.020204 | Downloads: 7 | Views: 319

Author(s)

Xin Zhao 1

Affiliation(s)

1 Lecture of International Academy of Rule of Law, China University of Political Science and Law, Beijing, China

Corresponding Author

Xin Zhao

ABSTRACT

AI and law are emerging research fields born in the early 1980s. The main goal of AI and law research is to construct good legal applications and generate models that can be implemented in computer programs. The calculation model of legal reasoning refers to the computer program used to implement the process of human legal reasoning, and the calculation model of legal argument refers to the computer program used to implementation the process of legal argument. When constructing the artificial intelligence model of legal reasoning, the research methods of legal semantic interpretation and logical interpretation are mainly used. Text analysis of judicial cases in the database is fundamental for artificial intelligence model construction. The first step is to extract core key concepts from the text. Second, process targeted texts with legal reasoning logic methods. Third, seek to construct a calculation model for legal argumentation and prediction of legal results. The study based on the analysis of judicial precedent texts has important theoretical and practical value.

KEYWORDS

AI; legal reasoning; legal argumentation; case-based reasoning; legal concept retrieval

CITE THIS PAPER

Xin Zhao, Construction of Artificial Intelligence Model of Legal Reasoning Based on Judicial Precedents. Science of Law Journal (2023) Vol. 2: 23-31. DOI: http://dx.doi.org/DOI: 10.23977/law.2023.020204.

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