{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-ip-patents",
  "headline": "AI for Intellectual Property: Patent Search, Prior Art Analysis, and Trademark Intelligence",
  "description": "AI is transforming intellectual property law -- from semantic patent search that finds prior art keyword systems miss to LLM-assisted patent drafting to trademark availability screening. The 150M+ global patent corpus is too vast for manual analysis; AI-powered IP tools are becoming essential for patent examiners, attorneys, and R&D strategists.",
  "dateCreated": "2026-05-24T02:49:13.556Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Advancing patent law with generative AI: Human-in-the-loop frameworks for patent drafting and prior art",
      "sameAs": "https://www.sciencedirect.com/science/article/pii/S0172219025000080"
    },
    {
      "@type": "CreativeWork",
      "name": "AI-Powered Prior Art Search: Towards Enriching Intellectual Property Systems",
      "sameAs": "https://link.springer.com/chapter/10.1007/978-3-031-99201-8_7"
    }
  ]
}