An Empirical and Doctrinal Analysis of Artificial Intelligence Utilization Among Juris Doctor Students in Zamboanga City, Philippines

Roberto Rivero , Lesley Ann Atilano and Frede Moreno

MPRA Paper from University Library of Munich, Germany

Abstract: This study investigates the utilization of artificial intelligence (AI) among Juris Doctor (JD) students in Zamboanga City, Philippines, combining empirical and doctrinal analysis. The research employs a mixed-methods approach, synthesizing data from surveys (N=150), interviews, and focus group discussions, alongside doctrinal review of Philippine legal education norms and professional responsibility standards. Findings indicate that students frequently adopt AI for research, case summarization, drafting, and exam preparation, yet institutional guidance and ethical clarity remain limited. Only 34% of students consistently disclose AI use, and faculty report inconsistent policies across courses. Doctrinal analysis identifies three guiding principles for AI integration: transparency, competence, and alignment with assessment objectives. Applying these principles, the study proposes that law schools develop localized pedagogical frameworks, including AI literacy instruction, disclosure protocols, and assessment strategies that emphasize reasoning processes. The research underscores a regulatory vacuum in Philippine legal education regarding AI, highlighting the need for institution-specific policies to maintain doctrinal rigor, academic integrity, and professional competence. By situating empirical evidence within doctrinal and pedagogical frameworks, the study provides actionable recommendations for responsible AI adoption, contributing to the scholarship on technology integration in legal education in non-metropolitan, Global South contexts.

Keywords: artificial intelligence; legal education; Juris Doctor; pedagogy; ethical disclosure; Zamboanga City; Philippines (search for similar items in EconPapers)
JEL-codes: I0 I2 I20 I21 I23 I26 I28 I29 K00 K10 K19 K30 Y50 Y80 Z0 (search for similar items in EconPapers)
Date: 2026-01-06
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