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NFTs and Intellectual Property: What the USPTO and Copyright Office's Joint Study Means for Your Brand
A joint federal study just confirmed what we've been telling clients for two years: owning an NFT does not mean owning the intellectual property behind it. For brands moving into Web3, that distinction is not academic. It's the difference between a licensing structure that holds up and one that creates liability the moment a dispute arises. What the study actually addressed The USPTO and the US Copyright Office conducted a joint study examining NFTs and intellectual property
6 days ago3 min read


The CLARITY Act could pass in 2026. What that means for your IP strategy
The regulatory landscape for digital assets in the United States is approaching a turning point — and most of the public conversation is missing the IP dimension entirely. Where the legislation stands The House Financial Services Committee held a dedicated hearing in March 2026 titled "Tokenization and the Future of Securities: Modernizing Our Capital Markets" — described by industry press as the most significant congressional examination of tokenization to date. The session
Jun 243 min read


Who Is Liable When AI Creates Trademark Infringement?
Your AI tool just generated a logo. It looks original. You used it commercially. Six months later — you receive an infringement notice. Who is responsible? This is no longer a hypothetical question. Courts are actively deciding it. An AI platform may accidentally generate content that is coincidentally confusingly similar to a pre-existing third-party trademark. Or the AI platform may be intentionally referencing a third-party trademark already within its knowledge base — wit
Jun 182 min read


AI startups and IP in 2026: the three legal gaps that are costing founders deals
We reviewed IP structures of 20+ AI startups this year. The same three gaps appear every time. Not because founders are careless. Because AI products have IP that doesn’t fit into traditional legal frameworks — and most standard incorporation packages don’t address it. Gap #1: Training data ownership is undocumented. Who sourced the data your model was trained on? Was it licensed, scraped, or purchased? Is there a paper trail? In 2025, a US court ruled that legally sourced ma
Jun 162 min read
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