Artificial intelligence and speedy trial in the judiciary: Myth, reality or need? A case study in the Brazilian Supreme Court (STF)

Justice has dealt with procedural delays for decades, contributing to the rise of Artificial Intelligence (AI) to face the problem. Therefore, it is essential to understand and analyze the implications of AI on speedy trial and how AI can accelerate judicial processes. To this end, we conducted a case study at the Supreme Court of Brazil (STF), collecting documents and conducting interviews for content analysis. The results consolidated a framework model that combines resources and impacts of AI on the velocity of legal decisions demonstrating how and what solutions contribute for judgment, pre-trial, and legal support. Therefore, it is believed that the gain in procedural speed with AI is not just a myth. It can become a reality, but with limitations, because there is a long way between the use of this technology in merely operational tasks and its use in complex activities such as evaluating processes in their entirety. For these future challenges, we highlight research proposals for more effective advances.
 

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Artificial intelligence and speedy trial in the judiciary: Myth, reality or need? A case study in the Brazilian Supreme Court (STF)

Authors
Weslei Gomes de Sousa (LinkedIn)
Rafael Antunes Fidelis
Paulo Henrique de Souza Bermejo
Ana Gérsica da Silva Gonçalo
Bruno de Souza Melo (LinkedIn)

  • With over 20 years of experience in IT solutions architecture, has strong expertise in .NET and Azure and high proficiency in managing relational and non-relational databases. Techs: Azure Architecture, Azure DevOps (CI/CD, Artifacts, Git), Docker, Azure Storage, B2C, Azure Service Bus, RabbitMQ, AWS Cloud, Web Applications/Frontend (Angular, Blazor, React, Razor Pages), TypeScript, Python, ASP.NET Web API (REST), MAUI (Mobile Development), Entity Framework Core, C#, Windows Applications (WPF, WinForms, UWP), Java, among others.

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