Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information
Current Korean court ruling disclosure systems inadequately balance public access and privacy regarding Artificial Intelligence (AI) owing to low disclosure rates and inefficient manual anonymization. This results in hindering AI development as well as the public’s right to information. This study p...
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| Format: | Article |
| Language: | English |
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Korea Institute of Intellectual Property
2025-06-01
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| Series: | Journal of Intellectual Property |
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| Online Access: | https://jip.or.kr/2002-05/ |
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| author | Eul Young Lim MinSung Hyun |
| author_facet | Eul Young Lim MinSung Hyun |
| author_sort | Eul Young Lim |
| collection | DOAJ |
| description | Current Korean court ruling disclosure systems inadequately balance public access and privacy regarding Artificial Intelligence (AI) owing to low disclosure rates and inefficient manual anonymization. This results in hindering AI development as well as the public’s right to information. This study proposes and evaluates a generative AI-based automatic anonymization system using fine-tuned Small Language Models (sLLMs, 7-8B scale), designed for secure operations within courts. Using actual court data, we compared the performance of fine-tuned sLLMs with that of few-shot Large Language Models (LLMs, e.g., GPT-4o). The results demonstrate that fine-tuned sLLMs achieve high accuracy and recall (F1 > 98%), compared to LLMs, proving their feasibility for safe and efficient internal automation without data leakage risks. Furthermore, we analyzed the legal liability challenges concerning potential AI anonymization errors. Reviewing the applicability of existing doctrines revealed legal uncertainties surrounding AI system failures. Fine-tuned sLLMs offer a realistic technological solution for harmonizing privacy protection and access rights. This study underscores the need for supportive legal and institutional frameworks to enhance judicial transparency and to advance the legal AI sector. |
| format | Article |
| id | doaj-art-fd13c72bff424e8fb4da9478cfdc1bb7 |
| institution | Kabale University |
| issn | 1975-5945 2733-8487 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Korea Institute of Intellectual Property |
| record_format | Article |
| series | Journal of Intellectual Property |
| spelling | doaj-art-fd13c72bff424e8fb4da9478cfdc1bb72025-08-20T03:33:35ZengKorea Institute of Intellectual PropertyJournal of Intellectual Property1975-59452733-84872025-06-012029311810.34122/jip.2025.20.2.93Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to InformationEul Young Lim0https://orcid.org/0009-0004-0201-1448MinSung Hyun1Master of Engineering; Master of Laws; Manager, KDI School of Public Policy and Management, Republic of KoreaMaster of Engineering; Manager, KDI School of Public Policy and Management, Republic of KoreaCurrent Korean court ruling disclosure systems inadequately balance public access and privacy regarding Artificial Intelligence (AI) owing to low disclosure rates and inefficient manual anonymization. This results in hindering AI development as well as the public’s right to information. This study proposes and evaluates a generative AI-based automatic anonymization system using fine-tuned Small Language Models (sLLMs, 7-8B scale), designed for secure operations within courts. Using actual court data, we compared the performance of fine-tuned sLLMs with that of few-shot Large Language Models (LLMs, e.g., GPT-4o). The results demonstrate that fine-tuned sLLMs achieve high accuracy and recall (F1 > 98%), compared to LLMs, proving their feasibility for safe and efficient internal automation without data leakage risks. Furthermore, we analyzed the legal liability challenges concerning potential AI anonymization errors. Reviewing the applicability of existing doctrines revealed legal uncertainties surrounding AI system failures. Fine-tuned sLLMs offer a realistic technological solution for harmonizing privacy protection and access rights. This study underscores the need for supportive legal and institutional frameworks to enhance judicial transparency and to advance the legal AI sector.https://jip.or.kr/2002-05/judicial ruling disclosure systemprivacy protectionright to informationgenerative artificial intelligenceanonymizationlegal liability |
| spellingShingle | Eul Young Lim MinSung Hyun Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information Journal of Intellectual Property judicial ruling disclosure system privacy protection right to information generative artificial intelligence anonymization legal liability |
| title | Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information |
| title_full | Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information |
| title_fullStr | Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information |
| title_full_unstemmed | Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information |
| title_short | Generative AI-Based Judicial Ruling Disclosure System Innovation: A Legal and Technological Approach to Balancing Privacy Protection and the Right to Information |
| title_sort | generative ai based judicial ruling disclosure system innovation a legal and technological approach to balancing privacy protection and the right to information |
| topic | judicial ruling disclosure system privacy protection right to information generative artificial intelligence anonymization legal liability |
| url | https://jip.or.kr/2002-05/ |
| work_keys_str_mv | AT eulyounglim generativeaibasedjudicialrulingdisclosuresysteminnovationalegalandtechnologicalapproachtobalancingprivacyprotectionandtherighttoinformation AT minsunghyun generativeaibasedjudicialrulingdisclosuresysteminnovationalegalandtechnologicalapproachtobalancingprivacyprotectionandtherighttoinformation |