Rebecca helps companies solve their highest-stakes privacy, data security, and artificial intelligence/machine learning (AI/ML) challenges before government regulators and in litigation.

Rebecca has successfully handled dozens of Federal Trade Commission (FTC) investigations on topics such as data security safeguards, security incidents and data breaches, online advertising practices, accuracy and bias/discrimination risks arising from AI/ML, financial privacy, children's and teen's data, and geolocation information. The government was convinced to take no enforcement action in most of these matters, but Rebecca has also negotiated multiple FTC consent orders containing first-of-a-kind provisions that became models for subsequent orders.

Rebecca also has extensive experience defending inquiries by state attorneys general, congress, and other federal, state, local, and foreign government regulators. She has successfully defended complex multistate attorneys general investigations, including resolving a multistate through simultaneous stipulated judgments with all 51 state attorneys general. Rebecca has developed long-term relationships with the attorneys who handle privacy and data security in many state attorneys general offices, including California, Connecticut, Illinois, Indiana, Massachusetts, New York, Texas, and Washington, among others.

Rebecca leverages her regulatory defense experience to provide sophisticated, nuanced product counseling advice regarding AI for companies at all points in the AI stack. She has drafted policies and internal governance framework documents and assessed risks and proactive measures to guard against discrimination risks with AI/ML, including synthesizing requirements and best practices from multiple areas including laws regarding AI/ML, automated decision-making, privacy, sector-specific laws, Section 5/UDAP laws, and EU laws.