1 - RWRSILANY SILVA Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA - Butanta
2 - Cleice de Pontes Bernardo FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA (UNIR) - Ppgmad
3 - Adriana Backx Noronha Viana Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo - FEA - Departamento de Administração
4 - ROGERIO PEREIRA DOS SANTOS Universidade Lusófona de Humanidades e Tecnologias - Lisboa
Reumo
According to a survey in Statistics Data Platform, the volume of available digital data has increased significantly in recent years, growing from 2 zettabytes to 50 zettabytes in a decade, and this volume is expected to quintuple by 2025 (SEE, 2021). Law, as a science of human knowledge, cannot be absent from this impact of technology, and there is a consensus that the Brazilian Judiciary needs to modernize to improve the services delivered to society (BARBOSA; PAMPLONA, 2017).
: How are perimetry and predictive data analysis used to assist in judicial decision-making? Considering the importance of AI for law, this work aimed to understand the role of perimetry and predictive data analysis in supporting legal decision-making.
Jurimetry is a science that seeks to understand legal processes and facts through statistical models, helping the Law better understand citizens' desires and produce fairer laws (LOEVINGER, 1949; OLIVEIRA, 2017). Predictive Analysis, on the other hand, uses data from the past to predict future events, allowing prospecting increasingly accurate scenarios. Combined with machine learning, predictive analytics can quickly identify changing trends and provide accurate forecasts, a fundamental tool for developing fairer legal institutions (SIEGEL, 2017).
In short, applying perimetry and predictive analysis can help judges on several fronts, such as predicting the interpretation of law articles, estimating procedural deadlines, and predicting penalties. These techniques can also help judges make informed decisions, identify patterns and trends, and improve the service offered by the judiciary. Consequently, predictive analytics has become essential for modernizing the justice system and improving its services. In addition, the research addressed the decision-making theory with the application of perimetry in judicial decisions.
She guided researchers by proposing a research agenda. She presented a framework that demonstrated the interconnection between the following categories of analysis: detection of trends and sources of legal data, prediction of judicial decisions, benefits for the magistrate's performance, technologies and society, and ethical considerations. This broad and interdisciplinary approach allowed a more comprehensive understanding of the subject and contributed to advancing the perimetry field.
LOEVINGER, L. Jurimetrics: The new step forward. Minesota Law Review. Journal of State Bar Association, vol. 33, abril: 1949, nº 05.
OLIVEIRA, S P de. Razoável duração do processo e morosidade judicial: a jurimetria como subsídio para o gerenciamento de processos judiciais. 2017.
SIEGEL, Eric. Análise Preditiva: o poder de prever quem vai clicar, comprar, mentir ou morrer. Alta Books Editora, 2017