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Law Meets GenAI: Using Artificial Intelligence to Derive Conceptual Models from Legal Regulations

  • Artificial intelligence (AI) and conceptual models are both important to public organizations. AI and generative AI (GenAI) can help to cope with an increasing resource shortage, workload, and requirements, while conceptual models are essential for the design of IT systems. However, the combination of both, the creation of conceptual models using GenAI tools in public organizations, has beenArtificial intelligence (AI) and conceptual models are both important to public organizations. AI and generative AI (GenAI) can help to cope with an increasing resource shortage, workload, and requirements, while conceptual models are essential for the design of IT systems. However, the combination of both, the creation of conceptual models using GenAI tools in public organizations, has been barely addressed in extant research. Thus, we investigate (1) how legal experts use GenAI tools when deriving conceptual models for public services from legal regulations and (2) what their experiences are in this use. In a qualitative study with 18 administrative legal experts we obtained various insights. For instance, we show that the participants either submitted strict instructions or conducted open conversations and they followed a top-down, bottom-up or combined approach in their analysis. The GenAI tools performed better in generating text-based models (forms) than graphic-based models (process models, decision trees).show moreshow less

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Metadaten
Document Type:Conference Proceeding
State of review:Begutachtet (reviewed)
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/11977
Bibliografische Angaben
Title (English):Law Meets GenAI: Using Artificial Intelligence to Derive Conceptual Models from Legal Regulations
Conference:Hawaii International Conference on System Sciences (59. : 2026 : Maui, Hawaii, USA)
Author:Binh An Nguyen, Hendrik Scholta, David Roth-Isigkeit, Christian Djeffal, Friedrich ChasinStaff MemberORCiDGND
Year of Publication:2026
Date of first Publication:2026/01/06
First Page:2382
Last Page:2391
Parent Title (English):Proceedings of the 59th Hawaii International Conference on System Sciences
Editor:Tung X. BuiGND
ISBN:978-0-9981331-9-5
ISSN:2572-6862
URL:https://hdl.handle.net/10125/111681
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Collections of the Offenburg University:Bibliografie
Tag:Conceptual Modeling; Digital Public Service; Large Language Model; Law; Prompting
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":5-fach | Konferenzbeitrag
Open Access: Open Access 
 Diamond 
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International