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Zahra, Yatama
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Regulating AI in Legal Practice: Challenges and Opportunities Zahra, Yatama
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 3 No. 1 (2025): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v3i1.47

Abstract

The integration of Artificial Intelligence (AI) in legal practice is transforming the legal profession by enhancing efficiency and accessibility while presenting significant ethical and regulatory challenges. AI applications such as predictive analytics, automated document drafting, and AI-driven legal research hold immense potential to reduce administrative burdens, streamline case management, and improve access to justice. However, issues such as algorithmic bias, lack of transparency, and data privacy concerns raise critical questions about fairness and accountability in AI-driven decision-making. This study aims to analyze the dual landscape of challenges and opportunities associated with AI adoption in legal practice, emphasizing the need for balanced regulatory frameworks. A systematic review of existing literature was conducted to identify the obstacles and benefits of AI integration. Key challenges include algorithmic biases, inadequate legal frameworks, and the digital divide among legal professionals, while opportunities range from cost reduction to improved dispute resolution processes. The findings contribute to ongoing discussions on AI governance by proposing actionable strategies such as fairness audits, explainable AI practices, and targeted training programs for legal professionals.
Ensuring Data Privacy in the Age of Artificial Intelligence Zahra, Yatama
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 3 No. 2 (2025): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v3i2.66

Abstract

This study explores the intersection of data privacy and artificial intelligence (AI) within the context of Indonesia’s evolving digital landscape. As AI technologies become increasingly embedded in key sectors such as healthcare, finance, education, and public services, the need for robust data protection mechanisms grows more urgent. The 2022 enactment of Indonesia’s Personal Data Protection (PDP) Law marks a significant step toward safeguarding individual privacy rights and regulating the use of personal data in AI systems. However, challenges remain in ensuring compliance with legal principles such as transparency, purpose limitation, and user consent, especially as many AI models operate as opaque "black boxes." Through a comparative analysis of global data privacy regulations—including the GDPR, CCPA, and PIPL—this study highlights international best practices and their relevance to AI governance. A conceptual framework is presented to illustrate the foundational principles necessary for aligning AI development with data privacy standards. The study concludes by emphasizing the importance of a harmonized, ethics-driven regulatory approach that supports responsible AI innovation while protecting individual rights. Stronger collaboration among government, industry, and civil society is essential to achieving a secure, trustworthy, and inclusive digital future for Indonesia.
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