Process mining is a field of research related to data mining and business and process
management. From this it is possible to analyze a large volume of data in a context and to
identify patterns, models and behaviors, based on the logs. From mining, it is possible to
propose improvements in institutional approaches and support the institution's strategic
and decision-making process. This master's research work aimed to apply computational
techniques of process mining with an evolutionary perspective with the use of artificial
intelligence, in order to support the management of the judicial process within the scope
of the Judiciary of Tocantins. It presents the use of statistics for the selection and
classification of lawsuits and, finally, results about the volume of cases, points of
congestion, equitable distribution of workforce and analysis of performance and
compliance, considering a mapped procedural model. Finally, considering the
performance of the Judiciary Power, it is guided through the National Council of Justice,
it aligns with strategic objectives described in the various resolutions of this body and the
resulting support in the use of process mining to achieve these objectives.
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