Across industries, the adoption of AI—particularly generative AI—is accelerating rapidly. While this trend directly contributes to improved operational efficiency and the creation of new businesses, it also gives rise, as an integrated set of issues, to a range of legal and practical challenges. These include information leakage risks where input data contains personal data or confidential information; infringement of copyrights or trade secrets; questions regarding ownership and allocation of rights in training data and outputs; compliance with vendors’ terms of use and appropriate oversight of subcontractors/service providers; and, in the operational phase, ongoing supervision, logging and auditability, and incident response.
In addition, as illustrated by the EU AI Act and similar regimes, certain jurisdictions impose obligations calibrated to the AI system’s risk classification and the role of the relevant economic operator. Accordingly, for matters involving overseas operations and cross-border elements, a legal review of the end-to-end solution design is indispensable.
Our firm places particular emphasis on practical, implementable rulemaking. We provide end-to-end support, from inventorying use cases and establishing internal governance (including human oversight and transparency) to drafting and revising internal policies and contractual clauses and conducting legality and compliance assessments. From the concept and PoC stages onward, we offer “implementable compliance” that enables organizations to move their AI initiatives forward with confidence.