On September 21, 2026, New York Governor Kathy Hochul announced New York’s next steps in implementing the Responsible AI Safety and Education (RAISE) Act, which establishes new safety, transparency and reporting requirements for developers of frontier models. New York is not alone, as California, Connecticut and Illinois have also enacted similar laws. The RAISE Act has significant overlap with California’s Transparency in Frontier Artificial Intelligence Act (SB 53), a law we discuss, along with other recent California AI legislation, in our prior article, New California AI Laws.
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Federal Court Restricts Serial CIPA Plaintiff’s Future Filings
On July 20, 2026, Judge R. Gary Klausner of the U.S. District Court for the Central District of California declared Vivek Shah a vexatious litigant and entered a pre-filing order restricting his ability to bring new digital privacy cases in that district. Vivek Shah v. Crain Communications, Inc., No. 2:26-cv-03070-RGK-CTS (C.D. Cal. July 20, 2026).
The order is a meaningful development for businesses that have received demand letters, draft complaints or arbitration demands from Shah alleging that common website technologies violate the California Invasion of Privacy Act (CIPA). However, its practical effect should not be overstated. The order imposes a procedural screening requirement for Shah in one federal district and does not decide whether the website practices underlying Shah’s claims violate CIPA.
CalPrivacy Launches First Formal Privacy Audit, Targeting Gig Economy Platforms
On July 21, 2026, the California Privacy Protection Agency (CalPrivacy) announced that its Audits Division has begun the agency’s first formal privacy audit. The audit targets major gig economy platforms operating in California, including app-based transportation, delivery and task services, and is the first in what CalPrivacy says will be a series of sectoral audits.
AI Workforce Regulation: What Employers Need to Do Now
Artificial intelligence is no longer a future concern for employment lawyers and HR teams. It is already embedded in how many organizations recruit, manage and restructure their workforces. Regulators in California and Connecticut are responding with concrete legislative proposals and executive action that would impose new compliance obligations on employers who use these tools. Employers with UK or EU operations should also be watching parallel developments, as workplace AI is increasingly being regulated through a combination of AI-specific rules, data protection law, equality law and employment consultation obligations.
California AG Announces Largest CCPA Penalty to Date in First Data Minimization Case
On May 8, 2026, California Attorney General Rob Bonta, joined by district attorneys from San Francisco, Los Angeles, Napa and Sonoma counties, announced a proposed $12.75 million settlement with a connected vehicle services provider over alleged CCPA violations involving the collection, retention, use and disclosure of vehicle data. The California Privacy Protection Agency’s Enforcement Division assisted in the investigation, which followed a broader CPPA sweep of connected vehicle privacy practices.
Email-Tracking Technology: Emerging Compliance Expectations in the U.S., EU and Beyond
The use of email-tracking technology is drawing heightened regulatory scrutiny and has become a growing target of litigation. For many organizations, these technologies, which could be in the form of a “pixel,” “beacon” or URL tracking parameters embedded in links, sit quietly in the background of marketing and operational messages. Yet from a legal and compliance perspective, they raise the same kinds of questions as online tracking tools such as cookies. This article explains what is happening and why it matters, and offers some pragmatic options for organizations to consider when relying on email engagement data.
A New Era of Data Deletion: Inside California’s DROP System
On January 1, 2026, the California Privacy Protection Agency (CalPrivacy, as it is now known) will launch the Data Rights Opt-out Platform (DROP System), an online tool enabling California residents to send a single request to over 500 data brokers requiring them to delete their personal information.
California’s Significant AI laws Go into Effect
January 1, 2025, marked the start of a series of significant AI laws going into effect in California. California’s 18 new AI laws represent a significant step toward regulating this space, establishing requirements regarding deepfake technology, AI transparency, data privacy and use of AI in the health care arena. These laws reinforce the state’s desire to be a pioneer in this space.
In California’s AI Laws Are Here—Is Your Business Ready?, Christine Mastromonaco, Shruti Bhutani Arora, Andrew Caplan, Erin Choo, Mia Rendar, Anne M. Voigts, Shani Rivaux, Johnna Purcell and Dayo Feyisayo Ajanaku provide a detailed look at the enacted legislation, addresses compliance timelines and serves as a guide for businesses as they navigate compliance with California’s evolving AI landscape.
CPPA Continues Rulemaking on AI, the New Delete Request and Opt-Out Platform (DROP), Cybersecurity Audits and Privacy Risk Assessments
The California Privacy Protection Agency (CPPA) has released the agenda for its upcoming public board meeting on October 4, 2024. This meeting is set to cover important regulatory and enforcement matters related to the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA).
Here’s a breakdown of the substantive agenda:
California Legislature Passes Generative AI Training Data Transparency Bill (UPDATED)
The California legislature recently passed Assembly Bill 2013 (AB 2013) on August 27, 2024, a measure aimed at enhancing transparency in AI training and development. If signed into law by Governor Gavin Newsom, developers of generative AI systems or services that are made available to Californians would be required to disclose significant information on the data used to train such AI systems or services. This, in turn, may raise novel compliance burdens for AI providers as well as unique challenges for customers in interpreting the information.
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