Name in original language
Modelo de Gestão e Governança de IA do Poder Judiciário de Mato Grosso (PJMT)
Initiative overview
The PJMT’s AI governance initiative was created to address the growing need for the structured, transparent, and accountable use of artificial intelligence within the Judiciary. As AI adoption expanded across different units, the absence of standardised processes posed risks to legal compliance, ethical use, resource allocation, and decision consistency. This initiative seeks to transform AI from isolated experiments into a coordinated institutional capability aligned with public value and regulatory requirements.
The main objective is to establish a comprehensive governance model that ensures all AI initiatives follow defined processes for feasibility assessment, prioritisation, approval, development, and monitoring. This includes the establishment of strategic and operational committees responsible for decision-making and oversight, as well as the strengthening of the AI Center as a central unit that integrates technical development with governance practices. The model is aligned with CNJ Resolution No. 615/2025, ensuring adherence to legal, ethical, and accountability standards.
The initiative currently encompasses a portfolio of ten AI projects under governance management, with six solutions in production and four in testing and development phases. In parallel, the AI Center has been proactively developing governance mechanisms to monitor key technical aspects such as token consumption, Retrieval-Augmented Generation (RAG) processes, and the management of data sources, ensuring efficiency, traceability, and responsible use of computational resources.
User training is a mandatory prerequisite for AI adoption, reinforcing the importance of human oversight and responsible interaction with AI systems. This approach ensures that users are properly prepared to understand the limitations, risks, and appropriate use of the technology within judicial processes.
Regarding implementation, the initiative is being institutionalised through formal governance structures, standardised workflows, and clear role definitions across the organisation. It is designed to scale by enabling multiple units to propose and develop AI solutions within a controlled framework, ensuring sustainability, interoperability, and continuous evolution of AI capabilities within the Judiciary.



























