Daniel M. Goldberg

Daniel M. Goldberg is Chair of the Data Strategy, Privacy & Security Group.

Daniel Goldberg headshot

The California Lawyers Association named him the 2025 California Privacy Lawyer of the Year for his leadership and impact on the field. He is the third recipient and the first private practitioner to receive the honor.

Daniel helps clients turn data risk into business advantage. He advises on all aspects of data use, including privacy, security, AI, and monetization, across industries and regulatory frameworks. Bridging law, technology, and business strategy, he helps organizations operationalize compliance, build trust, and innovate responsibly.

Privacy, Security & AI Compliance
Daniel counsels clients on compliance with federal law, state privacy statutes, sectoral rules, and industry standards. He works with legal, product, and engineering teams to map data flows, assess risk, and design global governance programs. His work often involves sensitive datasets such as precise location, health, and children’s data, as well as compliance with platform privacy and technical requirements, including those imposed by Apple and other major ecosystems. He also advises on emerging AI regulations and risks involving algorithmic accountability, training data, chatbots, agentic AI, and automated decision-making.

Enforcement & Regulatory Insight
Daniel represents clients in regulatory inquiries and settlement negotiations, including some of the first public CCPA actions. He brings a practical understanding of how regulators interpret and enforce data laws, helping clients anticipate risk, resolve investigations efficiently, and strengthen compliance programs before issues arise.

Data Strategy, Monetization & Technology Transactions
Daniel helps clients responsibly and lawfully unlock the value of their data. He negotiates data licensing, API, clean room, and identity resolution agreements; advises on ad-tech integrations, measurement, and de-identification standards; and structures data access and training arrangements for large language models (LLMs), agentic AI systems, and other machine-learning technologies. His transactional work includes SaaS, enterprise AI, data processing, and data transfer agreements that align commercial goals with evolving privacy and AI standards.

Leadership & Engagement
Daniel is a leading voice on data, privacy, and AI. He speaks at major industry events, contributes to top publications, and collaborates with policymakers and innovators on the future of responsible data use. His insights are known for turning complex legal and technical concepts into practical, business-ready strategies.

To stay connected, follow Daniel’s insights on the Firm’s Technology Law Updates blog or on LinkedIn, or reach out directly to discuss speaking, writing, or advisory opportunities.

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

Areas of Expertise

Recent Recognition

Education

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