AI Privacy & Compliance Review
A scoped review of product architecture, data handling, privacy obligations, governance, and practical priorities.
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Privacy, data, governance, contracts, and enterprise compliance considered together with the way the service is designed and operated.
Practice approach
Connecting legal issues to practical decisions
AI services often combine personal information, customer data, model providers, retrieval tools, logs, and external infrastructure. Legal review should follow those actual data and operational relationships rather than stop at a policy document.
Scope
How we can assist
Privacy and data processing
Review notices, consent, legal bases, outsourcing, third-party provision, retention, deletion, and data-subject rights.
AI governance
Organize responsibilities, review points, escalation paths, transparency, and human oversight appropriate to the service.
AI and SaaS contracts
Review customer and provider terms, data rights, confidentiality, service levels, liability, and change controls.
Model and data vendor review
Examine provider data use, retention, subprocessors, locations, transfers, and contractual allocation of risk.
Enterprise customer due diligence
Support responses to privacy, AI governance, data-processing, and vendor questionnaires from enterprise customers.
Software licensing and IP
Review software, content, open-source, model, and dataset rights relevant to development and commercialization.
Overseas exposure check
Identify initial questions concerning overseas users, infrastructure, vendors, transfers, and potentially applicable regimes.
This practice does not by itself include penetration testing, security certification, or source-code security assessment.
Tell us about the issue and the review you need
Tell us about the product, transaction, dispute, or immediate business concern. We will explain the available scope and next steps.
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