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A Qualitative Theory Building Research on Digital Law, Legal AI, and LegalTech

Yuzhou Qian & Keng Siau

Journal of Global Information Management2026https://doi.org/10.4018/jgim.396821article
AJG 2ABDC A
Weight
0.50

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.

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https://doi.org/https://doi.org/10.4018/jgim.396821

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@article{yuzhou2026,
  title        = {{A Qualitative Theory Building Research on Digital Law, Legal AI, and LegalTech}},
  author       = {Yuzhou Qian & Keng Siau},
  journal      = {Journal of Global Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/jgim.396821},
}

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A Qualitative Theory Building Research on Digital Law, Legal AI, and LegalTech

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.