Uma revisão sistemática da literatura

  • Fernando Melo Faraco Universidade Federal de Santa Catarina
  • José Leomar Todesco, Dr Universidade Federal de Santa Catarina


Artificial intelligence (AI) as a field of research is capable of offering a wide universe of solutions to the most diverse areas. One of them is the trial of causes, where AI has been used for decades with many benefits, even helping in the formation of new lawyers. Brazil currently has almost 100 million processes, and the productive capacity for their judgment is lower than the demand. The objective of this article is to analyze the scientific publications related to the use of artificial intelligence to judge causes, in order to promote the reduction of effort and speed in the trials, contributing positively to increase the productive capacity of the judiciary. In this sense, a descriptive exploratory research was carried out based on a systematic review of the literature, where the Scopus and Web of Science bases were consulted. The publications obtained were organized into four categories: (1) presents a new model or tool; (2) proposes changes to an existing model or tool; (3) presents a comparative study; (4) presents a theoretical study. Through the analysis of these publications it is possible to see that the vast majority of existing models and proposals use at least one of their layers the case-based reasoning (CBR) for precedent analysis, the other layer being generally responsible for the treatment of legislation (rules). In some cases, the use of other AI technologies, associated or not with previous ones, has been verified. Although the models used are already well established, it can be seen that there has been no significant evolution since its introduction.

How to Cite
FARACO, Fernando Melo; TODESCO, José Leomar. ARTIFICIAL INTELLIGENCE APPLIED TO THE LAW: A SYSTEMATIC REVIEW OF THE LITERATURE. International Congress of Knowledge and Innovation - Ciki, [S.l.], v. 1, n. 1, sep. 2018. ISSN 2318-5376. Available at: <>. Date accessed: 20 oct. 2019.