AI in Lawmaking: The UAE’s Revolutionary Approach

When AI Writes the Laws: A Bold Move by the UAE

The United Arab Emirates (UAE) has embarked on a revolutionary journey by becoming the first nation to officially integrate artificial intelligence (AI) into the lawmaking process. This initiative aims to expedite the legislative framework and enhance compliance through advanced technological capabilities.

The Regulatory Intelligence Office

Announced in a Cabinet meeting led by Sheikh Mohammed bin Rashid Al Maktoum, the UAE’s new Regulatory Intelligence Office will utilize an advanced AI system to consolidate federal and local laws, court rulings, and public service data into a comprehensive platform. This strategy is designed to track the real-time impact of laws on both society and the economy.

The ultimate goal is to accelerate the lawmaking process by as much as 70%, allowing AI to manage the extensive workload that includes analysis and implementation. The AI system will continually suggest legal updates as new data emerges, thereby ensuring that the laws remain relevant and effective.

A Paradigm Shift in Lawmaking

Sheikh Mohammed stated, “This new legislative system, powered by AI, will change how we create laws, making the process faster and more precise.” This initiative builds upon the UAE’s broader AI strategy launched in 2017, which included the appointment of the world’s first Minister of Artificial Intelligence.

Unlike other countries that primarily utilize AI to improve existing workflows, the UAE is taking a bold step by allowing AI to actively shape the laws. This move has the potential to redefine how governments and businesses approach regulation, compliance, and the future of legal systems.

Paving the Way for Smarter Compliance

The introduction of AI into the legal framework signifies a major transition for businesses navigating complex regulations. With projections indicating that the global AI legal tech market will increase from $1.2 billion in 2024 to $3.5 billion by 2030, the demand for automation in compliance tasks is evident.

In a rapidly growing economy like the UAE, AI is poised to play a pivotal role. Experts predict that within the next five years, AI will automate compliance monitoring, deliver real-time risk alerts, and streamline due diligence, enabling organizations to keep pace with regulatory changes.

The Need for Thoughtful Integration

However, the integration of AI in the legal sector must be approached with caution. Experts emphasize the importance of maintaining a balance between data security and compliance with evolving laws. Suggestions include the use of enterprise-owned small language models (SLMs) supported by vector databases to ensure legal accuracy while safeguarding sensitive information.

The Importance of Ethical Oversight

While the UAE’s AI-driven lawmaking initiative is groundbreaking, it underscores the essential role of human oversight in the legal process. Experts agree that while AI can enhance efficiency, it cannot replace the need for human judgment, especially in sensitive legal matters.

Concerns about bias in AI systems further emphasize the necessity for transparency and accountability. As AI takes on a more significant role in shaping laws, it is crucial for governments to establish clear ethical boundaries and ensure that human involvement remains integral to the process.

Experts advocate for a human-in-the-loop approach, where human experts guide, review, and refine AI outputs, ensuring fairness and transparency in the legal framework.

Conclusion

As the UAE leads the charge in integrating AI into its legal system, it sets a precedent for other nations to follow. The successful implementation of AI in lawmaking could revolutionize how legal systems operate worldwide, but it must be balanced with ethical considerations and human oversight to ensure that technology serves the public good.

More Insights

Building Trust in AI: Strategies for a Secure Future

The Digital Trust Summit 2025 highlighted the urgent need for organizations to embed trust, fairness, and transparency into AI systems from the outset. As AI continues to evolve, strong governance and...

Rethinking Cloud Governance for AI Innovation

As organizations embrace AI innovations, they often overlook the need for updated cloud governance models that can keep pace with rapid advancements. Effective governance should be proactive and...

AI Governance: A Guide for Board Leaders

The Confederation of Indian Industry (CII) has released a guidebook aimed at helping company boards responsibly adopt and govern Artificial Intelligence (AI) technologies. The publication emphasizes...

Harnessing AI for Secure DevSecOps in a Zero-Trust Environment

The article discusses the implications of AI-powered automation in DevSecOps, highlighting the balance between efficiency and the risks associated with reliance on AI in security practices. It...

Establishing India’s First Centre for AI, Law & Regulation

Cyril Amarchand Mangaldas, Cyril Shroff, and O.P. Jindal Global University have announced the establishment of the Cyril Shroff Centre for AI, Law & Regulation, the first dedicated centre in India...

Revolutionizing AI Governance for Local Agencies with a Free Policy Tool

Darwin has launched its AI Policy Wizard, a free and interactive tool designed to assist local governments and public agencies in creating customized AI policies. The tool simplifies the process by...

Building Trust in AI Through Effective Governance

Ulla Coester emphasizes the importance of adaptable governance in building trust in AI, highlighting that unclear threats complicate global confidence in the technology. She advocates for...

Building Trustworthy AI Through Cultural Engagement

This report emphasizes the importance of inclusive AI governance to ensure diverse voices, especially from the Global South, are involved in AI access and development decisions. It highlights the...

AI Compliance: Copyright Challenges in the EU AI Act

The EU AI Act emphasizes the importance of copyright compliance for generative AI models, particularly regarding the use of vast datasets for training. It requires general-purpose AI providers to...