‘The integration of artificial intelligence (AI) into legislative drafting offers significant potential to enhance the quality, clarity, and coherence of legal texts while addressing key challenges in the legislative process. This paper explores AI’s role in legislative drafting by examining three main aspects: the foundational principles of proper legislation, the challenges faced by drafters, and AI’s practical applications in improving legal text quality. First, the paper outlines the core legal principles that legislative drafting must uphold, establishing a framework for assessing AI’s contributions. Second, it discusses common drafting challenges, including complexity, inconsistencies, and information overload, and how AI can mitigate these issues by improving efficiency, accuracy, and coherence. Third, it explores AI’s practical applications, particularly in enhancing legal research through advanced information retrieval and classification, as well as detecting ambiguities, inconsistencies, and structural deficiencies in legal texts. AI-powered natural language processing (NLP) models can further refine legal language by improving readability and precision. Machine learning and knowledge graph technologies can help identify conflicts, redundancies, and gaps in legal frameworks, ensuring greater consistency and accessibility. While AI does not replace human expertise, it serves as a powerful tool to support legislative drafters, fostering more transparent, reliable, and equitable legislative processes. The paper concludes by addressing the prospects of AI-assisted legislative text generation and the ethical risks associated with its use.’
Link: https://www.tandfonline.com/doi/abs/10.1080/20508840.2025.2559165
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