Inteligência artificial como auxiliar do poder judiciário: a experiência do sistema Victor no âmbito do STF

Abstract

The main object of this study is to evaluate the impacts provided by the Victor system, since its implementation within the Supremo Tribunal Federal (STF), used as a classifier of processes in matters of General Repercussion. With this, it is intended to check whether artificial intelligence technologies and their consistent contribution with machine learning, deep learning, natural language processing, and other tools, can increase the performance of the Brazilian Judiciary. In a mostly qualitative research, based on bibliographic and documentary research, especially based on data from the Conselho Nacional de Justiça (CNJ) regarding the recent performance figures of the STF, a promising advance was obtained in the reduction of the number of days for the rendering of monocratic decisions by the Ministers. Thus, from this, the interest of the other national courts in the subject is observed, which is the main objective of the CNJ program called Justice 4.0. It is envisaged, with such initiatives, to promote advances in the implementation of the principle of efficiency with less burden to the public purse, reduction of the duration of the process and, even, effectiveness of the own access to justice.