Frankfurt Kurnit Klein & Selz

Daniel M. Goldberg is Chair of the Data Strategy, Privacy & Security Group. With extensive experience and a practical approach, he is consistency recognized as a leading authority in data law.

Daniel focuses on all types of matters involving data, including as follows:

Privacy, Security & AI Compliance

Daniel advises on privacy, security, and AI obligations related to consumer, business, and HR datasets, including under the FTC Act, comprehensive state privacy laws, sectoral laws, industry standards, and more. He assists with data governance and risk management, working closely with C-suite, legal, marketing, IT, and other stakeholders to evaluate data flows, assess and mitigate risks in products and features, and harmonize policies and procedures across jurisdictions and platforms. His work often involves analysis of high risk activities and management of sensitive datasets, including precise location data, children’s data, and health data. He has a deep understanding of advertising technology and evaluates SDK and other tracking technologies for compliance with platform requirements like Apple’s App Tracking Transparency (ATT) and privacy manifests. Daniel also advises on AI-related risks, such as algorithmic disgorgement, ethical data use, facial detection/recognition, and automated decision-making.

Interpretation & Enforcement

Daniel not only reads data laws, he helps shape their application. He has significant experience defending companies in data-related inquiries and regulatory enforcement actions, including leading response and settlement negotiations in one of the first public actions under the California Consumer Privacy Act (CCPA). He continues to manage inquiries and actions, including those that remain confidential.

Data Monetization & Strategic Use

Daniel helps companies lawfully unlock the value of their data assets, including through data licensing, API access, insights and benchmarks, third-party data marketplaces, targeted advertising, segment building, and training models. He advises on legal standards for de-identification and anonymization. Daniel structures and negotiates clean room agreements, identity resolution agreements, and media insertion orders. He also counsels on and negotiates data access and use agreements for developing and training Large Language Models (LLMs) and other AI technologies, including for major AI developers.

Technology Transactions

Daniel structures and negotiates a wide range of agreements involving data, including SaaS agreements, data storage agreements, data processing agreements, data transfer addendums, enterprise AI agreements, and more.

Leadership

Daniel is well-connected in the privacy community, having held leadership roles at IAPP, IAB, IAA, and other organizations. He frequently is quoted in the media and invited to speak on data issues. He has authored hundreds of articles on privacy law, and led efforts to publish the first-ever global guide on the impact of privacy laws on marketing and advertising by the Global Advertising Lawyers Alliance (GALA). For his latest legal insights, please visit the Firm’s Technology Law Updates blog.

Daniel is a Certified Information Privacy Professional (CIPP/US) and an Artificial Intelligence Governance Professional (AIGP). He is admitted to practice law in California.