A qualitative theory building research on digital law, legal AI, and LegalTech
Publication Type
Journal Article
Publication Date
12-2025
Abstract
Artificial intelligence (AI) is transforming modern life by driving innovation and efficiency, with legal AI playing an increasingly significant role in supporting legal work. However, the growing use of AI introduces new challenges, including privacy breaches, deepfakes, ethical dilemmas, and legal uncertainty. Despite the ongoing initiatives to establish AI governance principles, research on regulating legal AI and broader AI applications remains limited. This study addresses this gap through a qualitative case study examining effective AI governance frameworks. Interviews with four senior legal experts, i.e., two judges, a law professor, and a legal researcher, identified emerging challenges of legal AI and beyond. The findings reveal pressing needs for adaptive, transparent, and equitable regulation to ensure responsible AI development and use. The study contributes theoretically by linking AI governance with legal scholarship and offers practical insights for policymakers, legal professionals, and organizations navigating AI's evolving regulatory landscape.
Keywords
Artificial Intelligence (AI), Generative AI (GenAI), Digital Law, Legal AI, LegalTech, RegTech, QualitativeResearch, Case Study
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Journal of Global Information Management
Volume
33
Issue
1
First Page
1
Last Page
22
ISSN
1062-7375
Identifier
10.4018/JGIM.396821
Publisher
IGI Global
Citation
QIAN, Yuzhou and SIAU, Keng.
A qualitative theory building research on digital law, legal AI, and LegalTech. (2025). Journal of Global Information Management. 33, (1), 1-22.
Available at: https://ink.library.smu.edu.sg/sis_research/10979
Additional URL
https://doi.org/10.4018/JGIM.396821