@article{ART003225243},
author={Park Jungwon},
title={Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT},
journal={Journal of Regulation Studies},
issn={1738-7132},
year={2025},
volume={34},
number={1},
pages={39-80},
doi={10.22954/ksrs.2025.34.1.002}
TY - JOUR
AU - Park Jungwon
TI - Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT
JO - Journal of Regulation Studies
PY - 2025
VL - 34
IS - 1
PB - 한국규제학회
SP - 39
EP - 80
SN - 1738-7132
AB - This study explores the applicability of generative artificial intelligence (Generative AI), particularly ChatGPT, to legal information retrieval and regulatory classification. Two tasks were designed: one involved generating legal provisions based on input information such as statute name, article number, and title; the other involved classifying whether a given provision is regulatory or non-regulatory. The study evaluated classification accuracy, content similarity, execution consistency, and performance variation across conditions. Results showed that in the provision generation task, ChatGPT often produced inaccurate, inconsistent, or hallucinated content, with low similarity to reference texts. In contrast, the classification task achieved a mean accuracy of 66.9%, with high consistency and reliability, suggesting potential utility as a supportive tool for identifying regulatory provisions. However, the frequent misclassification of non-regulatory provisions remains a key limitation. As an initial empirical assessment of generative AI in legal and regulatory contexts, this study provides a foundation for future research comparing domain-specific AI models and exploring their use in regulatory support tasks.
KW - Artificial Intelligence;ChatGPT;Legal Information;Regulatory Classification
DO - 10.22954/ksrs.2025.34.1.002
ER -
Park Jungwon. (2025). Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT. Journal of Regulation Studies, 34(1), 39-80.
Park Jungwon. 2025, "Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT", Journal of Regulation Studies, vol.34, no.1 pp.39-80. Available from: doi:10.22954/ksrs.2025.34.1.002
Park Jungwon "Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT" Journal of Regulation Studies 34.1 pp.39-80 (2025) : 39.
Park Jungwon. Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT. 2025; 34(1), 39-80. Available from: doi:10.22954/ksrs.2025.34.1.002
Park Jungwon. "Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT" Journal of Regulation Studies 34, no.1 (2025) : 39-80.doi: 10.22954/ksrs.2025.34.1.002
Park Jungwon. Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT. Journal of Regulation Studies, 34(1), 39-80. doi: 10.22954/ksrs.2025.34.1.002
Park Jungwon. Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT. Journal of Regulation Studies. 2025; 34(1) 39-80. doi: 10.22954/ksrs.2025.34.1.002
Park Jungwon. Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT. 2025; 34(1), 39-80. Available from: doi:10.22954/ksrs.2025.34.1.002
Park Jungwon. "Generative AI in Legal Information Retrieval and Regulatory Classification: An Exploratory Study Using ChatGPT" Journal of Regulation Studies 34, no.1 (2025) : 39-80.doi: 10.22954/ksrs.2025.34.1.002
