The accelerated convergence of Artificial Intelligence (AI) into the realm of laws, governance, and the justice system has reinforced the demand for related guidelines for responsible, ethical, and just AI use. As AI ethics have become a normative tradition addressing values of justice, fairness, and accountability on one side, the notion of Responsible AI (RAI) aims at making these ethical norms functional practices, standards, or mechanisms of governance. The paper discusses RAI, a related development relevant to the realm of laws and justice, setting it in the context of the historical development of AI in general, from The Turing Test through Asimov’s Laws towards the current proposals of regulatory and industrial initiatives, such as the EU AI Act, UNESCO AI Ethics Guidelines, ISO/IEC 42001, as well as national policies such as those developed by NITI Aayog. RAI has emerged because of the growing use of AI in decision-making for sensitive areas such as criminal justice, legal prediction, bail, sentencing, and legal work. Compared to conventional software, AI applications pose challenges related to bias, explainability, accountability, and power imbalances, which need to be addressed at the respective industry levels. RAI fundamental principles such as fairness, transparency, accountability, privacy, robustness, and inclusiveness have been increasingly incorporated into soft law governance documents and emerging hard law rules. The abstract argues that RAI is neither a substitute for professional ethics nor purely universal, but instead demands contextual adaptation, human-in-the-loop strategies, and continuous oversight. RAI forms an important pragmatic bridge between ethical ideals and concrete practice, if it remains sensitive to cultural diversity, domain-specific risks, and democratic accountability.