Artificial Intelligence & Data Governance
With the increasing adoption of AI across industries, businesses face a complex landscape of legal, ethical, and operational risks. ANM-Scriboard offers strategic guidance to help organizations implement robust AI governance frameworks that align with domestic and global regulatory standards, including the Digital Personal Data Protection Act, the General Data Protection Regulation, and the EU AI Act.
Our AI Governance practice is designed to help organisations implement responsible, compliant, and well-structured AI systems. We work closely with clients to build robust governance mechanisms that align with business objectives and evolving legal standards. Key areas of support include:
- Conducting enterprise-wide AI risk
- Mapping current and planned AI use cases across business Classifying AI systems based on potential risk and impact.
- Identifying and addressing concerns around bias, fairness, and
- Establishing internal governance roles and responsibilities for AI
- Drafting AI Codes of Conduct in line with applicable laws and ethical norms.
- Creating and maintaining centralised repositories of AI policies and procedures.
We advise on transparency, explainability, and documentation standards to support auditability of AI-driven decisions. Our legal team supports regular AI system audits, monitors algorithmic performance, and designs incident response protocols to manage operational and reputational risks.
Recognizing the critical role of data security in AI systems, our services extend to ensuring that underlying datasets and third-party tools meet the highest compliance and security standards. Our support includes:
- Classifying AI datasets, including structured and unstructured
- Ensuring compliance with privacy laws such as the DPDP Act, GDPR, and internal data policies.
- Auditing AI vendors for data handling practices, security standards, and contractual obligations.
- Implementing safeguards against data leakage, model theft, unauthorized access, and IP misuse.
To help clients build responsible AI cultures, we design and deliver role-based training programs for leadership, legal, HR, data science, and procurement teams. We also support clients with self- assessment frameworks, enabling them to track AI governance maturity and compliance readiness.
ANM-Scriboard offers end-to-end advisory on AI risk audits, policy design, regulatory compliance, and contract structuring, helping clients confidently navigate AI adoption and implementation with legal foresight and ethical rigour. Our support extends to drafting and reviewing a range of critical documents, including:
- Data Protection Policies and internal AI Codes of Conduct
- Data Processing Agreements [DPAs] between Controllers and Processors
- AI-specific vendor and licensing agreements
- Cloud service agreements and infrastructure-sharing contracts Privacy Policies and Terms of Use
- Platform Terms of Use incorporating AI usage disclaimers
- Cross-border data transfer mechanisms, including Standard Contractual Clauses [SCCs]