AI law & AI compliance

Solutions in AI law & AI compliance
Effective AI governance must go beyond the AI Act and interlink privacy, copyright, trade-secret protection, and sector-specific requirements. I support the build-out of holistic AI governance structures—from implementation projects and AI policies through risk registers to staff training.
Classic contract types reach their limits when procuring, developing, or integrating AI systems. How is model performance warranted? Who is liable for faulty outputs? I develop tailored AI agreements—development agreements, licence and usage contracts, data agreements—with clear rules on liability, warranty, and responsibilities.
Training AI models raises issues at the intersection of copyright, data protection, and trade secrets: When may protected content be used for training? What role does the text-and-data-mining exception play? Who owns AI-generated outputs? I advise AI providers and users on training-data compliance, IP in AI outputs, and protecting your own data and trade secrets.
Using AI in a company has immediate employment-law implications—from works council co-determination and employee data protection to high-risk classification of certain HR AI applications under the AI Act. I draft works agreements and support privacy-compliant rollout of AI-assisted HR processes.
Deploying AI in finance, healthcare, or the public sector involves sector-specific requirements beyond the AI Act. I advise on classifying AI systems, conformity assessments, and developing governance structures suited to your industry.
Referenzen
Recent judgments (As of: 01/06/2026)
These case summaries are provided in German. They concern German courts and authorities only. Common abbreviations: BGH — Federal Court of Justice of Germany; BPatG — Federal Patent Court; DPMA — German Patent and Trade Mark Office; LG — Regional Court; OLG — Higher Regional Court; AG — Local Court. Expanded names appear in headings and citations below.
