Process Mining in the Brazilian Judiciary

Authors

  • Ricardo Massa F. Lima Federal University of Pernambuco
  • Raphael J. D´Castro Federal University of Pernambuco
  • Adriano L. I. Oliveira Federal University of Pernambuco
  • Rafael L. Paulo 1st Regional Federal Court
  • Bráulio G. Gusmão 9th Regional Federal Court
  • João Thiago de F. Guerra Court of Justice of the State of Mato Grosso

DOI:

https://doi.org/10.5753/compbr.2023.49.4061

Keywords:

Process Mining, Brazilian Judiciary System

Abstract

The Brazilian Judiciary is a complex institution that receives over 25 million new lawsuits annually. Each demand is unique and requires a deep analysis by human beings. At the same time, the Judiciary system needs to be efficient and effective. To face this challenge, relying on recent technological advances is essential. This article presents the contributions of the Process Mining area to the Judiciary system. In particular, it describes the JuMP (Judiciário com Mineração de Processos, Judiciary with Process Mining in a free translation) tool. JuMP considers the suggestions and desires of the Judiciary representatives. It is now available to all members of the Brazilian courts. The article also describes new challenges raised by prominent members of the Brazilian Judiciary System.

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References

Conselho Nacional de Justiça (CNJ). Justiça em Números 2022, shorturl.at/elITY, acessado em 20 de janeiro de 2022.

Gusmão, B. Mineração de processos e gestão de casos no judiciário. Inteligência Artificial e Direito Processual: os impactos da virada tecnológica no direito processual (2 ed.), Salvador, 589–594, 2021. 4

Loevinger, L. Jurimetrics–The Next Step Forward. Minnesota Law Review 33, 5, 455–493, 1948. 1

Unger, A.J., Santos Neto, J.F., Fantinato, M., Peres, S.M., Trecenti, J., Hirota, R. Analysis of a Brazilian Court’s Judicial Performance in the Business Law Processing, International Conference on Artificial Intelligence in Law (ICAIL), Copenhagen, 2022. 3

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Published

2023-04-01

How to Cite

Lima, R. M. F., D´Castro, R. J., Oliveira, A. L. I., Paulo, R. L., Gusmão, B. G., & Guerra, J. T. de F. (2023). Process Mining in the Brazilian Judiciary. Brazil Computing, (49), 39–43. https://doi.org/10.5753/compbr.2023.49.4061

Issue

No. 49 (2023)

Section

Papers

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.