Identify AI risk in suppliers, software providers, and outsourced service partners. Our AI vendor due diligence package includes supplier AI questionnaires, risk-based review, governance checks, and contract protections to support compliant procurement and stronger third-party risk management.

Modernize contracts and internal documents for the reality of enterprise AI use. We review high-risk agreements and policies for issues involving confidentiality, AI use, model training, IP ownership, disclosure, liability, security, audit rights, and governance alignment.

Train boards, senior management, legal teams, and IT functions to govern AI with confidence. Our AI compliance training covers regulatory risk, privacy, confidential information, intellectual property, human oversight, acceptable use, and decision-making in Hong Kong and Singapore contexts.

Reduce exposure in AI procurement and deployment through stronger contract terms. We review and strengthen AI vendor agreements across data rights, output ownership, confidentiality, liability, transparency, audit rights, subcontracting, termination, and regulatory risk allocation.

Build enterprise AI policies that are operational, defensible, and aligned with evolving regulation. We help organizations implement governance structures, acceptable use rules, disclosure controls, human-in-the-loop protocols, vendor oversight requirements, and policy updates tied to real business practice.

Assess whether your data can be lawfully and safely used for AI. Our data governance audit addresses data inventory, consent and retention gaps, document dependencies, cross-border issues, traceability, and AI-ready data architecture for defensible deployment.