Journal of East China Normal University(Natural Sc ›› 2019, Vol. 2019 ›› Issue (5): 85-99.doi: 10.3969/j.issn.1000-5641.2019.05.007

• Computational Intelligence in Emergent Applications • Previous Articles     Next Articles

Research on artificial intelligence assisted decision-making algorithms for lawyers based on legal-computing theory

CHEN Liang1,2, GUO Jia-wen3, WU Jian-gong2, WANG Zhan-quan4, SHI Ling4   

  1. 1. Shanghai International College of Intellectual Property, Tongji University, Shanghai 200092, China;
    2. School of Law, East China University of Science and Technology, Shanghai 200237, China;
    3. China-UK Low Carbon College, Shanghai Jiaotong University, Shanghai 201306, China;
    4. School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China
  • Received:2019-07-28 Online:2019-09-25 Published:2019-10-11

Abstract: At present, there is a lack of intelligent decision-making tools applied to legal theory and practice. Given the characteristics of data in this field, we establish an intelligent decision-making algorithm using a variety of data analysis models. Legal-computing is focused on data-based mechanization of legal reasoning. It establishes a relationship between legal research and applications using the characteristics and data features of computer science. On this basis, the method of "implication classification" is formed, the decision tree and Naive Bayes algorithms are improved for application to the legal arena, and a coordinate system of legal relationships is established to transfer traditional legal relationship analysis into a spatial geometric system. Experimental results show that the algorithm is consistent with a lawyer's handling strategy and results, and has the feasibility of assisting lawyers more broadly in decision-making.

Key words: legal artificial intelligence, legal-computing, Naive Bayes, C4.5 decision tree

CLC Number: