@misc{38279,
title = {AI and Judicial Productivity: The Impact of MIDAS on the Courts of Fortaleza, Brazil},
author = {Pierri, Gastón and Fontenele, Marcelo and Nunes, Jose Luiz},
year = {2026},
doi = {10.18235/0014427},
abstract = {This paper presents preliminary results from a pilot study conducted in the courts of Ceará, Brazil. The study evaluates the impact of introducing a tool that uses natural language processing and machine learning techniques to cluster judicial acts by textual similarity on clerk productivity, measured as the number of case files a clerk can produce in a day. Estimates indicate that treatment-group clerks produced approximately 10 more case files per day than control-group clerks, a statistically significant difference equivalent to a 37% increase relative to the control group mean. The results are robust to the exclusion of outlier observations and exceptionally productive clerks.},
url = {https://doi.org/10.18235/0014427}
}