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.
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References
Loevinger, L.: Jurimetrics–The Next Step Forward. 33 Minn. L. Rev. 455. HeinOnline (1948)
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)
Hirata, A., et al.: Dano moral no Brasil. Pensando o Direito, vol. 37, Secretaria de Assuntos Legislativos do Ministerio da Justica (2010)
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
Constancio, A.S.: Ontologia para um Motor de Busca Semantica para Recuperacao Jurisprudencial no Brasil. Master’s thesis (2017)
Akerkar, R.: Big Data Computing. CRC Press, Boca Raton (2013)
Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–44 (2015)
Erl, T., Khattak, W., Buhler, P.: Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall Press, Englewood (2016)
Pierson, L.: Data Science for Dummies. Wiley, Hoboken (2015)
Chapman, P., Clinton, J.: CRISP-DM 1.0: Step-by-Step Data Mining Guide. CRISP (2000)
Becker, K.: Slides de aula Processo de KDD. UFRGS (2017)
Christopher, D.M., Prabhakar, R., Schtze, H.: An Introduction to Information Retrieval, vol. 151, p. 177. Cambridge University Press, Cambridge (2008)
TSE - Tribunal Superior do Trabalho. Perguntas frequentes - Pesquisa de jurisprudencia. http://www.tse.jus.br. Accessed 12 Sept 2017
STF - Supremo Tribunal Federal: Glossario Juridico \({:}{:}\) STF - Supremo Tribunal Federal. [s.d.]. http://www.stf.jus.br/portal/glossario/. Accessed 12 Sept 2017
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 Richmond
Koniaris, M., Anagnostopoulos, I., Vassiliou, Y.: Evaluation of diversification techniques for legal information retrieval. Algorithms 10(1), 22 (2017). Multidisciplinary Digital Publishing Institute
Zhang, N., Pu, Y.-F., Wang, P.: An Ontology-Based Approach for Chinese Legal Information Retrieval (2015)
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)
Adebayo, K.J., Di Caro, L., Boella, G., Bartolini, C.: An Approach to Information Retrieval and Question Answering in the Legal Domain (2016)
IBM: ROSS Intelligence Artificial Intelligence in Legal Research. Blue Hill Research (2017). http://www.rossintelligence.com. Accessed 12 Sept 2017
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)
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)
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 Library
Divisao de Comunicacao do CSJT: CSJT divulga dados sobre arrecadaçao e despesa em resposta a noticia sobre custo da JT - Noticias Lançamento - CSJT (2017)
Rogerio Barbosa: ConJur - Justica do Trabalho deixa de privilegiar empregado em acoões trabalhistas (2012)
Ashley, K.D.: Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age. Cambridge University Press, Cambridge (2017)
Kubat, M.: An Introduction to Machine Learning. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-20010-1
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.
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Barros, R., Peres, A., Lorenzi, F., Krug Wives, L., Hubert da Silva Jaccottet, E. (2018). Case Law Analysis with Machine Learning in Brazilian Court. In: Mouhoub, M., Sadaoui, S., Ait Mohamed, O., Ali, M. (eds) Recent Trends and Future Technology in Applied Intelligence. IEA/AIE 2018. Lecture Notes in Computer Science(), vol 10868. Springer, Cham. https://doi.org/10.1007/978-3-319-92058-0_82
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