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AI and Judicial Productivity: The Impact of MIDAS on the Courts of Fortaleza, Brazil

Author

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  • Pierri, Gastón
  • Fontenele, Marcelo
  • Nunes, Jose Luiz

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.

Suggested Citation

  • Pierri, Gastón & Fontenele, Marcelo & Nunes, Jose Luiz, 2026. "AI and Judicial Productivity: The Impact of MIDAS on the Courts of Fortaleza, Brazil," IDB Publications (Working Papers) 14700, Inter-American Development Bank.
    • Handle: RePEc:idb:brikps:14700
    DOI: http://dx.doi.org/10.18235/0014427
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • H83 - Public Economics - - Miscellaneous Issues - - - Public Administration
    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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