Artificial Intelligence in legal education: experiences with customized GPTs

Authors

DOI:

https://doi.org/10.47975/ijdl.v.6.1302

Keywords:

Artificial intelligence; legal education; distance learning; customized GPTs; digital literacy.

Abstract

This article presents a case study on the use of generative artificial intelligence tools in legal education. From a technorealist perspective, it discusses the pedagogical potential of customized GPTs developed by the instructor, each with a different function: tutoring, reverse mentoring, and law firm simulation. The text also addresses the ethical and epistemological risks of using AI in education, such as automated plagiarism, hallucinations, algorithmic bias, and environmental impact. The results, based on student feedback, indicate that AI can contribute to engagement and learning, provided it is embedded in a critical, ethical, and guided pedagogical framework. The study concludes by emphasizing the need for AI literacy for both teachers and students, and the urgency of an epistemological redesign of legal education.

Downloads

Download data is not yet available.

Author Biographies

Felipe Cittolin Abal, Universidade de Passo Fundo (Passo Fundo, Rio Grande do Sul, Brasil)

Professor da Escola de Ciências Jurídicas da Universidade de Passo Fundo (Passo Fundo, Rio Grande do Sul, Brasil). Professor no Programa de Pós Graduação em História e no Programa de Pós-Graduação em Direito da Universidade de Passo Fundo. Doutor em História pela Universidade de Passo Fundo. Mestre em História pela Universidade de Passo Fundo. E-mail: felipeabal@upf.br.

, Universidade de Passo Fundo (Passo Fundo, Rio Grande do Sul, Brasil)

Professora Titular e Permanente do Programa de Pós-Graduação em Direito e do curso de Graduação em Direito da Universidade de Passo Fundo – UPF (Passo Fundo, Rio Grande do Sul, Brasil). Doutora em Direito pela Universidade Federal de Santa Catarina – UFSC. Mestre em Direito pela Pontifícia Universidade Católica do Rio Grande do Sul – PUC/RS. Advogada. Coordenadora do PPGDireito da Universidade de Passo Fundo. Membro do Instituto Brasileiro de Direito Imobiliário (IBRADIM), da Associação Brasileira Elas no Processo (IBEP) e integrante do Banco de Avaliadores (BASis) do Sistema Nacional de Avaliação da Educação Superior (Sinaes). E-mail: apilati@upf.br.

References

ALTMAN, Sam. Reflections. Blog pessoal. 2023. Disponível em: <https://blog.samaltman.com/reflections>. Acesso em: 24 jun. 2025.

COPELAND, Jack B.; PROUDFOOT, Diane. Artificial Intelligence: History, Foundations, and Philosophical Issues. In: THAGARD, Paul. Handbook of the Philosophy of Psychology and Cognitive Science. Amsterdam: Elsevier, 2007.

ERTEL, Wolfgang. Introduction to Artificial Intelligence. London: Springer London, 2011. (Undergraduate Topics in Computer Science). Disponível em: <https://link.springer.com/10.1007/978-0-85729-299-5>. Acesso em: 19 ago. 2024.

FACER, Keri; SELWYN, Neil. Digital technology and the futures of education: towards 'non-stupid' optimism. Paris: UNESCO, 2021.

FORNASIER, Mateus de Oliveira. Ensino Jurídico no Século XXI e a Inteligência Artificial. Revista Opinião Jurídica. Fortaleza, ano 19, n. 31, maio/ago. 2021, p. 1-32.

MOLLICK, Ethan. Co-intelligence: living and working with AI. New York, New York: Portfolio/Penguin, 2024.

MOLLICK, Ethan; MOLLICK, Lilach. Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts. The Wharton School Research Paper, 2024. Disponível em: <https://ssrn.com/abstract=4802463>. Acesso em: 04 jul. 2025.

MOROZOV, Evgeny. To Save Everything, Click Here: The Folly of Technological Solutionism. New York: PublicAffairs, 2013.

O'DONNELL, James; CROWNHART, Casey. We did the math on AI’s energy footprint. Here’s the story you haven’t heard. MIT Technology Review, 20 maio 2025. Disponível em: https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/. Acesso em: 2 jul. 2025.

SELWYN, Neil. Education and Technology: Key Issues and Debates. 2. ed. London: Bloomsbury Academic, 2021.

SHANAHAN, Murray. Talking about Large Language Models. Communications of the ACM, v. 67, n. 2, p. 68–79, 2024.

SILVA, Tarcizio. Racismo Algorítmico e Regulação de Inteligência Artificial: O Contrato Racial na Produção do PL 2338/2023. Tese (Doutorado) – Universidade Federal do ABC, Programa de Pós-Graduação em Ciências Humanas e Sociais, São Bernardo do Campo, 2025.

STORR, Christine; MCGRATH, Cormac. In search of the evidence: digital learning in legal education, a scoping review. The Law Teacher, v. 57, n. 2, p. 119–134, 2023.

UNESCO. Orientações globais sobre a IA generativa na educação e na pesquisa. Paris: UNESCO, 2023. Disponível em: https://unesdoc.unesco.org/ark:/48223/pf0000390241. Acesso em: 2 jul. 2025.

WOOLDRIDGE, Michael. A Brief History of Artificial Intelligence: where it is, where we are and where we are going. Nova Iorque: Flatiron Books, 2020.

Published

2025-10-27

How to Cite

ABAL, Felipe Cittolin; PILATI, Adriana Fasolo. Artificial Intelligence in legal education: experiences with customized GPTs: . International Journal of Digital Law , Belo Horizonte, v. 6, p. e609, 2025. DOI: 10.47975/ijdl.v.6.1302. Disponível em: https://journal.nuped.com.br/index.php/revista/article/view/1302. Acesso em: 19 nov. 2025.

Issue

Section

Original Articles

Categories

Similar Articles

1 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.