Weaving Meaning and Hacking Systems through the Dialectics of Law, Language, and Technology for a Sustainable Future

Abstract

This paper presents a multidisciplinary approach that integrates law, language, and technology to address challenges in digital transformation and support the Sustainable Development Goals (SDGs). The research develops an ethical Artificial Intelligence (AI) model combined with Natural Language Processing (NLP) techniques to enhance the accessibility, accuracy, and fairness of digital legal systems. Legal documents, regulatory texts, and linguistic corpora in Indonesian and English are processed to identify semantic patterns that reflect both legal norms and social values. The developed AI algorithm demonstrates an accuracy of 91% in legal language processing, significantly outperforming conventional NLP models (80%). This performance is attributed to the algorithm’s ability to adapt contextually to legal discourse while incorporating ethical reasoning modules. Field tests in legal institutions show a 40% improvement in operational efficiency and a notable increase in public satisfaction. Symbols used include AI for Artificial Intelligence, NLP for Natural Language Processing, and SDGs for Sustainable Development Goals. The system prototype enables real-time adaptation to legal and linguistic changes, offering a sustainable and inclusive digital legal infrastructure. The study concludes that the convergence of technology, law, and language is not only conceptually viable but also practically impactful, especially in shaping a justice-oriented Society 5.0. This integrated model contributes significantly to achieving SDG 16, which promotes peace, justice, and strong institutions. Future research is suggested to localize linguistic modules and extend the system’s applicability across diverse cultural and legal contexts.