Abstract
This article critically examines the opportunities and challenges of using technology, in particular Large Language Models (‘LLMs’), to assist regulatory order writing in quasi-judicial settings in India. It proposes augmenting rather than replacing human decision-makers, aiming to improve regulatory order writing practice through responsible use of LLMs. This article identifies the core principles of administrative law that must be upheld in these settings and analyses how inherent limitations of LLMs may undermine these principles. The article reviews international frameworks and case studies from various jurisdictions, highlighting common design principles. It proposes a comprehensive Problem-Solution-Evaluation (PSE) framework for responsibly integrating LLMs into order writing processes. This framework maps specific technical, design, and systemic solutions to each identified risk, and outlines evaluation strategies to ensure ongoing alignment with legal standards. The article concludes with practical recommendations for the development and deployment of LLM-based systems in regulatory environments.
Recommended Citation
Aggarwal, Natasha; Desikan, Amrutha; Patel, Bhavin; Bondre, Satyavrat; and Sanyal, Dipyaman
(2026)
"Can Technology Augment Order Writing Capacity at Regulators?,"
Indian Journal of Law and Technology: Vol. 22:
Iss.
1, Article 2.
DOI: 10.55496/JSRY2148
Available at:
https://repository.nls.ac.in/ijlt/vol22/iss1/2
Digital Object Identifier (DOI)
10.55496/JSRY2148
