Advertisement

Case Law Analysis with Machine Learning in Brazilian Court

  • Rhuan Barros
  • André Peres
  • Fabiana Lorenzi
  • Leandro Krug Wives
  • Etiene Hubert da Silva Jaccottet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10868)

Abstract

This paper aims the application of the knowledge discovering process in a judicial decisions database with the goal of unveiling the tendency of opinion Brazilian courts have, in relation to the favored party, employee or employer. Supervised machine learning techniques were used to classify documents. Such predictive model reached scores of more than 90% of ranking decision accuracy resulting in solid information about the tendency of each judge. Thus, this project contributes with a software that allows law firms to obtain information in a fast visual and exploratory way enabling them to focus and make more efforts in finding more effective legal strategies, than in jurisprudential research.

Keywords

Law Artificial intelligence Legal Machine learning 

Notes

Acknowledgement

In memory of Etiene Hubert da Silva Jaccottet, the most charismatic person ever known. Word that comes from the Latin that represents the extraordinary and divine gift that he had to fascinate people. May his soul rest in peace.

References

  1. 1.
    Loevinger, L.: Jurimetrics–The Next Step Forward. 33 Minn. L. Rev. 455. HeinOnline (1948)Google Scholar
  2. 2.
    Jaeger Zabala, F., Silveira, F.F.: Jurimetria: Estatstica Aplicada Ao Direito/Jurimetrics: Statistics Applied in the Law. Revista Direito e Liberdade, vol. 16, no. 1, p. 87103 (2014)Google Scholar
  3. 3.
    Hirata, A., et al.: Dano moral no Brasil. Pensando o Direito, vol. 37, Secretaria de Assuntos Legislativos do Ministerio da Justica (2010)Google Scholar
  4. 4.
    Montenegro, M.C.: PJe atinge a marca de 7,4 mi de processos judiciais - Portal CNJ (2016). http://www.cnj.jus.br/noticias/cnj/81864-pje-atinge-a-marca-de-7-4-mi-de-processos-judiciais. Accessed 12 Sept 2017
  5. 5.
    Constancio, A.S.: Ontologia para um Motor de Busca Semantica para Recuperacao Jurisprudencial no Brasil. Master’s thesis (2017)Google Scholar
  6. 6.
    Akerkar, R.: Big Data Computing. CRC Press, Boca Raton (2013)CrossRefGoogle Scholar
  7. 7.
    Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–44 (2015)CrossRefGoogle Scholar
  8. 8.
    Erl, T., Khattak, W., Buhler, P.: Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall Press, Englewood (2016)Google Scholar
  9. 9.
    Pierson, L.: Data Science for Dummies. Wiley, Hoboken (2015)Google Scholar
  10. 10.
    Chapman, P., Clinton, J.: CRISP-DM 1.0: Step-by-Step Data Mining Guide. CRISP (2000)Google Scholar
  11. 11.
    Becker, K.: Slides de aula Processo de KDD. UFRGS (2017)Google Scholar
  12. 12.
    Christopher, D.M., Prabhakar, R., Schtze, H.: An Introduction to Information Retrieval, vol. 151, p. 177. Cambridge University Press, Cambridge (2008)Google Scholar
  13. 13.
    TSE - Tribunal Superior do Trabalho. Perguntas frequentes - Pesquisa de jurisprudencia. http://www.tse.jus.br. Accessed 12 Sept 2017
  14. 14.
    STF - Supremo Tribunal Federal: Glossario Juridico \({:}{:}\) STF - Supremo Tribunal Federal. [s.d.]. http://www.stf.jus.br/portal/glossario/. Accessed 12 Sept 2017
  15. 15.
    Borden, B.B., Baron, J.R.: Finding the signal in the noise: information governance, analytics, and the future of legal practice. Richmond J. Law Technol. 20(2), 7–14 (2014). TC Williams School of Law University of RichmondGoogle Scholar
  16. 16.
    Koniaris, M., Anagnostopoulos, I., Vassiliou, Y.: Evaluation of diversification techniques for legal information retrieval. Algorithms 10(1), 22 (2017). Multidisciplinary Digital Publishing InstituteMathSciNetCrossRefGoogle Scholar
  17. 17.
    Zhang, N., Pu, Y.-F., Wang, P.: An Ontology-Based Approach for Chinese Legal Information Retrieval (2015)Google Scholar
  18. 18.
    Jo, D.W., Kim, M.H.: A framework for legal information retrieval based on ontology. J. Korea Soc. Comput. Inf. 20(9), 87–96 (2015)CrossRefGoogle Scholar
  19. 19.
    Adebayo, K.J., Di Caro, L., Boella, G., Bartolini, C.: An Approach to Information Retrieval and Question Answering in the Legal Domain (2016)Google Scholar
  20. 20.
    IBM: ROSS Intelligence Artificial Intelligence in Legal Research. Blue Hill Research (2017). http://www.rossintelligence.com. Accessed 12 Sept 2017
  21. 21.
    Weber, R.: Intelligent jurisprudence research: a new concept. In: Proceedings of the 7th International Conference on Artificial Intelligence and Law, pp. 164–72. ACM (1999)Google Scholar
  22. 22.
    Ferauche, T., de Almeida, M.A.: Aprendizado de Classificadores de Ementas da Jurisprudencia do Tribunal Regional do Trabalho da 2 Regiao-SP. In: VI Workshop de pesquisa do Centro Estadual de Educaão Tecnológica Paula Souza-SP-Brasil (2011)Google Scholar
  23. 23.
    Chen, Y.-L., Liu, Y.-H., Ho, W.-L.: A text mining approach to assist the general public in the retrieval of legal documents. J. Assoc. Inf. Sci. Technol. 64(2), 280–90 (2013). Wiley Online LibraryCrossRefGoogle Scholar
  24. 24.
    Divisao de Comunicacao do CSJT: CSJT divulga dados sobre arrecadaçao e despesa em resposta a noticia sobre custo da JT - Noticias Lançamento - CSJT (2017)Google Scholar
  25. 25.
    Rogerio Barbosa: ConJur - Justica do Trabalho deixa de privilegiar empregado em acoões trabalhistas (2012)Google Scholar
  26. 26.
    Ashley, K.D.: Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age. Cambridge University Press, Cambridge (2017)CrossRefGoogle Scholar
  27. 27.
    Kubat, M.: An Introduction to Machine Learning. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-20010-1CrossRefMATHGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Rhuan Barros
    • 1
  • André Peres
    • 1
  • Fabiana Lorenzi
    • 2
    • 3
  • Leandro Krug Wives
    • 4
  • Etiene Hubert da Silva Jaccottet
    • 5
  1. 1.IFRS - Campus Porto AlegrePorto AlegreBrazil
  2. 2.Universidade Luterana do Brasil (ULBRA)CanoasBrazil
  3. 3.Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS), Campus CanoasCanoasBrazil
  4. 4.Universidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
  5. 5.Centro Universitário Ritter dos Reis - Laureate International UniversitiesPorto AlegreBrazil

Personalised recommendations