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Mia Gal
Associate
Data, Privacy, and Cybersecurity
Brussels

D32-2-2745733

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Mia Gal is an associate in the Brussels office of Wilson Sonsini Goodrich & Rosati, where her practice focuses on privacy and data protection law.

Prior to joining the firm, Mia worked on the antitrust/competition team in the Brussels office of Sidley Austin. In addition, she interned at the French law firm Darrois Villey Maillot Brochier, at the European Commission, and at the U.S. Federal Trade Commission.

Mia is fluent in French and English, and is familiar with Spanish.     

Experience

Mia Gal is an associate in the Brussels office of Wilson Sonsini Goodrich & Rosati, where her practice focuses on privacy and data protection law.

Prior to joining the firm, Mia worked on the antitrust/competition team in the Brussels office of Sidley Austin. In addition, she interned at the French law firm Darrois Villey Maillot Brochier, at the European Commission, and at the U.S. Federal Trade Commission.

Mia is fluent in French and English, and is familiar with Spanish.     

Focus Areas
Recent Insights
Alerts
EU Agencies to Develop Guidance on the Interplay Between the DMA and GDPR
On September 10, 2024, the European Commission (EC) offices in charge of the enforcement of the Digital Markets Act (DMA) and the European Data Protection Board (EDPB)—the European body composed of all EU data protection regulators that oversees the consistent application of the General Data Protection Regulation (GDPR)—announced that they intend to provide guidance on the interplay between the DMA and GDPR.
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Alerts
French Data Protection Authority Publishes Recommendations on the Development of AI Systems: Seven Takeaways
On April 8, 2024, the French Data Protection Authority (CNIL) published recommendations on the development phase of artificial intelligence (AI) systems1 (Recommendations). They are the first set of recommendations designed to guide the various players in the AI ecosystem on how to apply the General Data Protection Regulation (GDPR) to the development of AI systems. The Recommendations are relevant to providers and users of AI systems who process personal data as part of the development of such systems, including fine-tuning already-existing AI systems.
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