Optimizing Omnibus Law in Indonesia: A Legal Enquiry on the Use of Artificial Intelligence for Legislative Drafting

Abstract

Omnibus law is often regarded as a practical solution to harmonize and synchronize statutory regulations. In practice, the application of this model tends to be pragmatic and less democratic. This paper aims to analyze the essential considerations for selecting the omnibus law model in Indonesia, following its implementation challenges and the relevance of using Artificial Intelligence (AI) in the legislation. By combining doctrinal and socio-legal research methods, this paper answers the legal enquiry for optimizing AI through omnibus law model legislation. The results of this study indicate that AI cannot immediately replace the role of the legislative institution but it merely acts as a "tool" and not as a "determinant" in the legislative process. In this context, there are two AI features that can assist legislative bodies in designing the omnibus law model; they are document review as a construction scanner for legislation and predictive analytics as a prediction system. Both features can help legislative bodies optimize the omnibus law model, which tends to have a high complexity level. As a follow-up, the government should establish a special institution to optimizing the AI-based legislation.
 KEYWORDS: Omnibus Law, Artificial Intelligence, Legislative Drafting, Public Participation.