Latest posts
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Why AI-Washing Risk Is Becoming a Real Legal Category
AI washing is becoming a substantiation problem as regulators, buyers, investors, and plaintiffs compare public AI claims to product reality and internal records.
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AI Litigation Is Increasingly About Governance Records
AI litigation and enforcement are increasingly turning on what companies can prove about testing, warnings, internal knowledge, model changes, and governance records.
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German Court Says Google AI Overviews Can Become Platform Speech
A Munich court said a challenged Google AI Overview was attributable to Google itself, an early signal that AI-generated search summaries may be treated more like platform speech than neutral linking.
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What The Reported 42-State OpenAI Investigation Means Before Any Complaint Is Filed
A reported 42-state OpenAI probe is not a complaint, but it still signals what state attorneys general may be asking about consumer AI design, data handling, vulnerable users, and engagement incentives.
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After DABUS, The Real Patent Fight Is Proving The Human Inventor Story
After DABUS, the patent issue is no longer whether AI can be named as inventor. It is whether the named humans can prove the right inventorship story when AI helped shape the result.
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AI Privilege Risk Is Becoming a Workflow Problem, Not Just a Confidentiality Warning
Recent federal decisions suggest privilege, work product, and protective-order restrictions are splitting into separate AI workflow questions driven by tool choice, confidentiality, and litigation context.
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Can AI Be Named as an Inventor? The Global Patent Answer Is Still Mostly No
Major patent systems still require a human inventor. The harder question now is proving which human contribution counts when AI helped generate the idea.
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FTC’s AI Accuracy Proposal Turns Model Steering Into a Consumer-Protection Issue
The FTC’s proposed AI accuracy policy statement turns undisclosed model steering into a Section 5 consumer-protection issue and adds a federal pressure point for state AI laws.
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EU AI Act Transparency Code Turns AI-Generated Content Labels Into Compliance Work
The EU has published a voluntary Article 50 transparency Code of Practice that turns AI-generated content labels, deepfake disclosures, and machine-readable marking into practical compliance work.
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AI Companion Safety Laws Are Becoming a Real Compliance Category
New York, California, and Oregon are turning AI companion chatbots into a distinct compliance category, while the FTC and state AGs focus on minors, self-harm protocols, disclosures, and safety claims.