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The Use of LLMs in the Legal Design Process—Designing Effective Access to Health Data Under the EHDS and the GDPR

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the potential of Large Language Models (LLMs) to revolutionize the legal design process, specifically in the context of improving access to health data under the European Health Data Space (EHDS) and the General Data Protection Regulation (GDPR). The text explores the current landscape of LLMs in healthcare, highlighting their role in processing and producing health data. It also discusses the fundamentals of legal design, emphasizing its human-centric approach and its suitability for addressing complex issues in healthcare. The chapter then integrates LLMs into the legal design process, using a fictional example to illustrate how LLMs can facilitate access to and understandability of health data. The process is broken down into four phases: Discover, Define, Develop, and Deliver, each demonstrating how LLMs can be utilized to enhance the accessibility and usability of health data. The chapter concludes by reflecting on the process and considering potential risks and challenges, such as the opacity of LLMs and data protection concerns. The integration of LLMs in legal design is presented as a promising approach to improve the realization of the right to access health data, although further research is needed to address the identified issues.

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Title
The Use of LLMs in the Legal Design Process—Designing Effective Access to Health Data Under the EHDS and the GDPR
Authors
Jaana Kovalainen
Sarah de Heer
Copyright Year
2025
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-95-2058-9_12
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