Insights
Insights & Public Record
Our published work, testimony, and tools — open to clients, prospects, and the broader compliance community.
Featured assets
The public record
Illinois AI Legislative Ecosystem
A live tracker of every AI-related bill, enacted statute, and regulatory development shaping Illinois AI policy.
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AI Governance & D&O Liability
A briefing for directors, officers, and their advisors on AI deployment, fiduciary duty, and director and officer liability — in active circulation among practitioners and underwriters.
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Senate Testimony
Submitted written testimony to the Illinois Senate Executive Subcommittee on AI and Social Media on the consolidation of frontier-AI safety legislation.
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References
Reference articles
AI & Employment in Illinois
For HR leaders and Illinois employers operating under HB 3773 and the IDHR Subpart J rulemaking. The Operating Playbook is the practical pillar; the Compliance Guide and IDHR Rulemaking Tracker provide the underlying legal and regulatory framework.
Playbook
Illinois AI Employment Law: An Operating Playbook for HR Leaders
A practical playbook for HR leaders at Illinois employers operating under HB 3773 — vendor evaluation across ATS, video interview, scheduling, performance management, and productivity tools; notice template scaffolding; exec talking points; and a 90-day HR compliance calendar.
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Reference
Illinois HB 3773: A Compliance Guide for Employers
A reference guide to the Illinois Human Rights Act amendments under House Bill 3773, effective January 1, 2026 — what they prohibit, what they require, and how Illinois employers should document compliance.
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Reference
Agency Liability under HB 3773: Why the Employer Is Strictly Liable for AI Used by Recruiters and Staffing Firms
HB 3773 applies to AI in the employment decision chain regardless of who operates the AI. The IHRA's agent-liability framework attaches the employer's strict liability to the conduct of recruiting agencies, staffing firms, RPOs, MSPs, and other third parties acting on the employer's behalf. Doctrinal basis, operational implications, and what HR leaders should do.
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Living tracker
IDHR AI Rulemaking Tracker: Subpart J and HB 3773 Implementation
A living tracker of the Illinois Department of Human Rights rulemaking under HB 3773 — what draft Subpart J says, where stakeholders are pushing back, federal preemption considerations, and what employers should do during the pre-final rulemaking period.
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Illinois sector-specific AI
Illinois AI laws targeting specific sectors beyond general employment — beginning with the WOPR Act governing AI in behavioral health.
D&O liability
How AI governance is being operationalized through D&O insurance underwriting and securities litigation — the fiduciary framework, the cases, and the renewal-cycle pressure that is forcing board-level adoption.
Reference
Caremark and AI Oversight: A Reference for Directors
The Delaware duty-of-oversight doctrine — Caremark, refined by Marchand, Clovis, Boeing, and McDonald's — applied to AI deployment. The doctrinal architecture and the documentation directors should expect to see.
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Reference
AI Risk and D&O Liability: A Reference for Directors
How AI governance is becoming a director-level fiduciary issue. The Caremark / Marchand v. Barnhill framework applied to AI oversight, recent AI-related securities class actions, the questions D&O underwriters are asking, and the documentation directors should require from management.
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Reference
D&O Underwriting Questions for AI Governance: A 2026 Renewal Reference
The specific questions D&O insurance underwriters are asking about AI governance at 2026 renewals — what carriers want to see, the documentation patterns that work, and how to negotiate around AI-specific exclusions and sublimits.
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Living tracker
AI Securities Class Actions Tracker (2024–2026)
A reference catalog of AI-related securities class actions and SEC enforcement filed between 2024 and 2026 — the cases, the legal theories, the outcomes, and the implications for directors, officers, and D&O underwriting.
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Multi-jurisdictional
Frameworks for organizations operating across Illinois, New York, the EU, and adjacent jurisdictions — building one compliance program rather than parallel ones that diverge over time.
Reference
The EU AI Act for US Boards: A Reference Guide
When the EU AI Act applies to US companies, what high-risk classification means, the Digital Omnibus deferral of high-risk obligations to December 2027, and the practical compliance steps US-headquartered organizations should take in 2026.
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Reference
Multi-Jurisdictional AI Compliance: Building a Unified Framework
How to architect an AI compliance program that satisfies Illinois HB 3773, the Colorado AI Act, NYC Local Law 144, California ADMT regulations, and the EU AI Act — without running parallel programs that diverge over time.
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Reference
The New York RAISE Act: A Reference for Boards and Compliance Teams
When the Responsible AI Safety and Education Act applies, what its frontier-model safety framework requires under the operative S6953-B / A6453-B chapter amendment, how the federal preemption challenge under EO 14365 changes the planning posture, and the practical compliance steps for 2026.
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Standards
The voluntary standards substrate underlying defensible AI governance posture across regulatory regimes — what each standard requires, how they relate to each other, and how compliance teams use them as the foundation for unified compliance programs.
Reference
The NIST AI Risk Management Framework: A Reference
How AI RMF 1.0 and the Generative AI Profile structure AI risk governance through the Govern / Map / Measure / Manage functions, and how it maps to the EU AI Act, the New York RAISE Act, the Colorado AI Act, and ISO/IEC 42001.
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Reference
ISO/IEC 42001 AI Management Systems: A Reference
How ISO/IEC 42001 structures an AI management system, how it relates to ISO/IEC 27001 and the NIST AI RMF, what certification involves, and why ISO/IEC 42001 is becoming a procurement and D&O underwriting reference point in 2026.
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Reference
ISO/IEC 23894 AI Risk Management Guidance: A Reference
How ISO/IEC 23894 provides AI-specific risk management methodology, how it relates to ISO 31000 and ISO/IEC 42001, and how compliance teams use it as the methodological substrate for AI risk assessments across regulatory regimes.
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The Substack
Regular analysis of AI governance, regulation, and the litigation landscape. Direct, no-hype, written for boards, GCs, and the advisors who serve them.
Press & speaking
Featured on the Disruption Interruption and AI in Chicago podcasts. Contributor to Risk Management magazine. Available for board briefings, conference keynotes, and panel discussions on AI governance, the Illinois regulatory ecosystem, and AI and D&O liability.