Data law attorney

1. Ensure that data usage is legally compliant
   Clearly define the purpose, legal basis, transparency and limits of each use case.
2. Integrate regulations
   Coordinate GDPR, the Data Act, the AI Act and industry-specific requirements, translating them into processes.
3. Clarify data governance & responsibilities
   Define roles, access, quality standards and responsibilities in a binding manner.
4. Regulate data licences and sharing
   Clearly define usage rights, licence models and cooperation agreements, both internally and with partners.
5. Secure AI and data sharing scenarios
   Legally secure consolidation, transfer and training, including documentation and evidence.

Our data law consulting services:

1. Data inventory & use case mapping: sources, purposes, legal bases and data flows.
2. Regulatory framework: classification of the GDPR, Data Act and AI Act per use case.
3. Data governance: roles, access and authorisation concepts, and quality standards.
4. Data licences and contracts: selection and design of licences, usage and sharing agreements.
5. Data sharing and collaborations: rules for partners, platforms and data rooms.
6. Monetisation of data: legal guidelines for models and pricing logic.
7. Anonymisation and pseudonymisation: concepts, tests and documentation
8. Marketing and product data: permissible use, segmentation and attribution.
9. AI use of data: permissible training and evaluation purposes, limits and evidence.
10. Documentation and audit readiness: processes, templates and evidence for audits.