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Blog
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California’s AI in Advertising: ADMT Obligations for Marketing Technology Platforms
- October 28, 2026
- Posted by: allan
- Category: Uncategorized
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AI Governance Under State ADMT Laws: Impact Assessment Requirements Across 14 States
- October 27, 2026
- Posted by: allan
- Category: Uncategorized
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California SB-53 and the TFAIA: Full Compliance Guide for Frontier AI Developers
- October 26, 2026
- Posted by: allan
- Category: Uncategorized
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New York RAISE Act Updated: Aligning with California on Frontier AI Governance
- October 25, 2026
- Posted by: allan
- Category: Uncategorized
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Virginia’s High-Risk AI Act: What Developers and Deployers Must Know
- October 24, 2026
- Posted by: allan
- Category: Uncategorized
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Colorado’s New AI Law: From CAIA to CADMA and What Businesses Must Do by January 2027
- October 23, 2026
- Posted by: allan
- Category: Uncategorized
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Texas TRAIGA: Prohibited Practices, AG Enforcement, and the NIST Safe Harbor
- October 22, 2026
- Posted by: allan
- Category: Uncategorized
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Connecticut’s Omnibus AI Law (SB 5): Compliance Guide for Employers, Platforms, and Developers
- October 21, 2026
- Posted by: allan
- Category: Uncategorized
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Tax Teams and AI Privilege: Why There Is Still No Bright-Line Rule
- October 20, 2026
- Posted by: allan
- Category: Uncategorized
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AI Expert Witnesses and Court-Ordered Disclosure: What Litigators Need to Know
- October 19, 2026
- Posted by: allan
- Category: Uncategorized
A federal magistrate judge in Connecticut ordered an expert witness to produce the AI prompts she used in preparing her report — the first ruling of its kind. This post analyzes the Conservation Law Foundation decision, its Daubert implications, and what litigators must do now to protect and challenge AI-assisted expert testimony.
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Can a Judge Use AI? The Ethics Lines Courts Are Drawing
- October 18, 2026
- Posted by: allan
- Category: Uncategorized
Can a judge use AI to research cases or draft opinions? Courts are drawing ethics lines in real time. This post surveys Ohio’s 2026 AI Ethics Guide, Arizona’s first-in-nation judicial technology competence rule, California’s institutional policy mandate, and what the emerging framework means for litigators.
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The Duty of AI Competence: How Bar Associations Are Rewriting What It Means to Practice Law
- October 17, 2026
- Posted by: allan
- Category: Uncategorized
Bar associations across the country are making AI literacy a core element of professional competence. This post surveys ABA Formal Opinion 512, Ohio’s detailed 2026 AI Ethics Guide, and guidance from California, Florida, Texas, and New York — with practical implications for both attorneys and business clients.
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Federal Court AI Disclosure Rules: A Litigator’s Guide to Varying Requirements
- October 16, 2026
- Posted by: allan
- Category: Uncategorized
Over 300 federal judges have AI disclosure requirements in 2026, but no two rules are exactly alike. This post maps the three models courts have adopted — mandatory certification, outright prohibition, and Rule 11 silence — and provides a practical compliance framework for multi-jurisdiction litigators.
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AI-Generated Documents and Work Product Protection: The 2026 Federal Court Split
- October 15, 2026
- Posted by: allan
- Category: Uncategorized
Two federal courts reached opposite conclusions in February 2026 on whether using AI tools in litigation waives work product protection. This post breaks down the Warner and Heppner decisions and offers practical guidance for structuring AI use to maximize protection.
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Enterprise vs. Public AI Tools: Why the Distinction Is Now a Legal Privilege Issue
- October 14, 2026
- Posted by: allan
- Category: Uncategorized
The Heppner ruling established that the enterprise-versus-public AI distinction is not just a security question — it is a legal privilege question. The contractual terms governing your AI tools may determine whether your legal strategy is protected or discoverable.
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The Heppner Ruling: When Using AI Can Waive Attorney-Client Privilege
- October 13, 2026
- Posted by: allan
- Category: Uncategorized
Judge Rakoff’s ruling in United States v. Heppner — the first federal decision on AI and attorney-client privilege — establishes that using a public AI platform to develop legal strategy destroys confidentiality and forfeits privilege protection.
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Building an Enterprise AI Governance Framework: From Policy to Defensible Implementation
- October 12, 2026
- Posted by: allan
- Category: Uncategorized
A policy is a statement of intent — a governance framework is the organizational infrastructure that turns intent into auditable, defensible reality. This post is a practical guide to building an enterprise AI governance framework from the ground up.
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AI and Proxy Voting: How AI Is Disrupting Corporate Governance Advisory Services
- October 11, 2026
- Posted by: allan
- Category: Uncategorized
JPMorgan’s launch of Proxy IQ — an internal AI platform replacing ISS and Glass Lewis for proxy voting decisions — marks the first large-scale deployment of AI as a direct substitute for human governance advisory services.
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AI Board Minutes and Corporate Records: Discovery, Privilege, and Governance Risks
- October 10, 2026
- Posted by: allan
- Category: Uncategorized
AI-powered meeting tools capture board deliberations with unprecedented fidelity — but that same fidelity creates serious discovery, privilege, and governance risks that most companies have not yet addressed.
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Managing AI Governance Risks as Courts Expand Scrutiny of Corporate Decision-Making
- October 9, 2026
- Posted by: allan
- Category: Uncategorized
Delaware’s Caremark doctrine — the board’s duty to oversee mission-critical risks — is being applied to AI governance as courts expand their scrutiny of corporate AI decision-making. This post explains what a legally defensible board-level AI governance structure must include in 2026 and what the liability exposure looks like when it is absent.
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Algorithmic Pricing Antitrust Enforcement: From DOJ Consent Decrees to State Bans
- October 8, 2026
- Posted by: allan
- Category: Uncategorized
The DOJ’s consent decrees with RealPage, LivCor, Cortland, and Greystar have defined what compliant algorithmic pricing must look like — and California, New York, and Connecticut have now banned the practice outright in residential rental. This post walks through the enforcement campaign and what businesses in every industry must take from it.
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European Algorithmic Pricing Enforcement: The CMA’s Framework and Its Global Implications
- October 7, 2026
- Posted by: allan
- Category: Uncategorized
The UK’s Competition and Markets Authority has developed a four-category framework for algorithmic collusion — from cartel implementation to autonomous AI coordination — that is now the global reference point for regulators worldwide. This post explains the framework and the CMA’s live investigation into Hilton, IHG, and Marriott.
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New York’s Algorithmic Pricing Disclosure Act: A Compliance Roadmap
- October 6, 2026
- Posted by: allan
- Category: Uncategorized
New York’s Algorithmic Pricing Disclosure Act is already in effect, requiring businesses to display mandated language whenever AI algorithms use personal data to set individualized prices. This post is a step-by-step compliance guide covering scope, exemptions, enforcement, and the antitrust exposure that runs alongside the disclosure obligation.
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Surveillance Pricing: When Personalized AI-Driven Pricing Creates Privacy and Antitrust Exposure
- October 5, 2026
- Posted by: allan
- Category: Uncategorized
AI-driven surveillance pricing — where algorithms use your personal data to set individualized maximum prices — now faces simultaneous enforcement from the FTC, DOJ, and more than 20 state legislatures. This post maps the current regulatory landscape and the compliance steps businesses must take now.
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Algorithmic Pricing and Antitrust Liability: The RealPage Theory Spreads Across Industries
- October 4, 2026
- Posted by: allan
- Category: Uncategorized
The DOJ’s RealPage case established a hub-and-spoke antitrust theory for algorithmic pricing that is now spreading to hotels, healthcare, retail, and beyond. This post traces the theory’s development through the RealPage settlement, the Ninth Circuit’s Cendyn ruling, and the MultiPlan healthcare litigation, and explains what the current legal landscape means for businesses using shared-data pricing systems.
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California’s AI in Advertising: ADMT Obligations for Marketing Technology Platforms
The advertising technology industry has operated in a state of regulatory flux for years, navigating CCPA opt-out requirements, cross-context behavioral advertising restrictions, and an ongoing series of CPPA enforcement signals. With California’s final ADMT regulations now in effect as of January 1, 2026, many advertising technology companies assumed — with some relief — that they
October 28, 2026 Read more -
AI Governance Under State ADMT Laws: Impact Assessment Requirements Across 14 States
Automated decision-making technology has become central to how businesses operate. Credit decisioning, hiring screening, insurance underwriting, housing applications, healthcare triage — these are no longer processes that rely entirely on human judgment. AI and algorithmic systems now make or heavily influence outcomes that affect people’s fundamental life opportunities. State legislatures have noticed. As of mid-2026,
October 27, 2026 Read more -
California SB-53 and the TFAIA: Full Compliance Guide for Frontier AI Developers
California enacted the nation’s first frontier AI law on September 29, 2025. Governor Newsom signed Senate Bill 53, which established the Transparency in Frontier Artificial Intelligence Act — commonly called the TFAIA — and it took effect January 1, 2026. The law is the first in the United States to impose binding legal obligations specifically
October 26, 2026 Read more -
New York RAISE Act Updated: Aligning with California on Frontier AI Governance
New York has joined California at the frontier of AI regulation. With Governor Kathy Hochul signing the chapter amendments to the Responsible AI Safety and Education Act — commonly called the RAISE Act — in March 2026, New York finalized a governance framework for frontier AI models that tracks closely with California’s Transparency in Frontier
October 25, 2026 Read more
