What out-of-the-box LLMs can(t) do in law? A Turing test in Italian exams for lawyers, judges and notaries
Germana Bertoli, Ilaria Amelia Caggiano, Francesca Lagioia, Riccardo Rovatti, Giovanni Sartor, Emiliano Troisi
Abstract
The article reports on a blind Turing Test experiment, assessing the performance of out-of-the-box leading LLMs on three Italian legal professional exams: the Bar, Judges and Notary exams. Leading LLMs were asked to generate full written exam papers, which were made indistinguishable from human submissions and anonymously evaluated by expert examiners, using the same criteria applied in real examinations. Results reveal marked differences across both models and tasks. While some LLMs match or exceed top human performance in adversarial legal argumentation and doctrinal analysis, all models fail in the notary exam, which requires goal-directed legal planning under strict formal and substantive constraints. Beyond ranking models, the study identifies task-specific strengths, limitations and recurring legal failure patterns. Although limited to out-of-the-box systems, the findings provide qualitative evidence on the current scope and boundaries of the legal competence of LLMs across distinct professional tasks.
Create a lesson
Related papers
Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
Abbas M. Rabiu, Abdulrazaq A. Zubair, Um-mulkhairi Ibrahim et al.
Could Underwater Data Centers Pose a Risk to AI Treaty Verification?
James Teague, Ashmita Rajmohan, Yannick Muehlhaeuser
Control-Theoretic Content Moderation
Benedetta Tessa, Serena Tardelli, Marco Avvenuti et al.
"If I Had to Buy Just ONE: Galaxy S26 Ultra": Auditing AI-Generated Product Recommendations
Lucas G. Uberti-Bona Marin, Thales Bertaglia, Giovanni Astante et al.
Understanding AI Provider Recommendations in Local Service Markets
Hazem Ibrahim, Yasir Zaki
Toward a Time-Aware Assessment Framework for the Carbon Cost of AI-Enabled Decarbonization
Chenrui Xu, Burcu Akinci, Christopher McComb