<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>AI-Patents.com Insights</title>
    <link>https://ai-patents.com/insights/</link>
    <description>Practical guidance on patenting AI, machine learning, and software inventions.</description>
    <language>en-us</language>
    <atom:link href="https://ai-patents.com/feed.xml" rel="self" type="application/rss+xml"/>
    <item>
      <title>Patenting AI: A 2026 Guide to AI Patents</title>
      <link>https://ai-patents.com/patenting-ai/</link>
      <guid isPermaLink="true">https://ai-patents.com/patenting-ai/</guid>
      <pubDate>Wed, 04 Nov 2026 12:00:00 +0000</pubDate>
      <description>Start here. What you can patent in artificial intelligence, how the USPTO and the courts differ on eligibility, how to claim machine learning inventions, and when to file.</description>
    </item>
    <item>
      <title>From Provisional to Non-Provisional: Preserving Support and Priority in the U.S.</title>
      <link>https://ai-patents.com/insights/provisional-to-nonprovisional-conversion-strategy/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/provisional-to-nonprovisional-conversion-strategy/</guid>
      <pubDate>Sun, 18 Oct 2026 12:00:00 +0000</pubDate>
      <description>Trim the claims if you must, but never the disclosure. Deadlines, claim-by-claim priority, incorporation-by-reference limits, and how to carry provisional claim combinations forward.</description>
    </item>
    <item>
      <title>Why Provisional Patent Applications Should Use Multiple (and Multiple-Multiple) Dependent Claims</title>
      <link>https://ai-patents.com/insights/provisional-applications-multiple-dependent-claims/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/provisional-applications-multiple-dependent-claims/</guid>
      <pubDate>Sun, 18 Oct 2026 12:00:00 +0000</pubDate>
      <description>A provisional only protects the combinations it actually supports. A multiple-dependent claim tree is the cheapest way to support them all, especially for AI inventions.</description>
    </item>
    <item>
      <title>Akamai, AI, and the Three Layers of Liability: Why Your First Drafting Decision Must Be Who You Want to Sue</title>
      <link>https://ai-patents.com/insights/akamai-divided-infringement-ai-patent-claims/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/akamai-divided-infringement-ai-patent-claims/</guid>
      <pubDate>Tue, 17 Mar 2026 12:00:00 +0000</pubDate>
      <description>Divided infringement punishes AI method claims that span training, inference, and user interaction. How to draft actor-aligned claims that reach trainers or users of the trained model.</description>
    </item>
    <item>
      <title>How to Patent Agentic AI Technology</title>
      <link>https://ai-patents.com/insights/how-to-patent-agentic-ai/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/how-to-patent-agentic-ai/</guid>
      <pubDate>Wed, 19 Nov 2025 12:00:00 +0000</pubDate>
      <description>As AI evolves from passive predictive models into agentic systems capable of planning, tool use, and autonomous execution, patent strategy must evolve too.</description>
    </item>
    <item>
      <title>Beyond Generic AI: How to Patent Real Machine-Learning Innovation After Recentive</title>
      <link>https://ai-patents.com/insights/how-to-patent-machine-learning-after-recentive/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/how-to-patent-machine-learning-after-recentive/</guid>
      <pubDate>Wed, 19 Nov 2025 12:00:00 +0000</pubDate>
      <description>Not all AI-driven ideas qualify as patentable inventions. Where the line falls after the Federal Circuit’s Recentive decision, and how to draft on the right side of it.</description>
    </item>
    <item>
      <title>Historic $1.5 Billion Settlement: A Turning Point for AI and Copyright Law</title>
      <link>https://ai-patents.com/insights/anthropic-1-5-billion-ai-copyright-settlement/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/anthropic-1-5-billion-ai-copyright-settlement/</guid>
      <pubDate>Sat, 06 Sep 2025 12:00:00 +0000</pubDate>
      <description>A landmark copyright settlement over pirated training data, and what it means for how AI companies acquire and use data.</description>
    </item>
    <item>
      <title>How to Successfully Protect AI-Based Technology in 2025: Part II — Understanding &amp; Conquering § 101 Examination</title>
      <link>https://ai-patents.com/insights/ai-patent-eligibility-section-101/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/ai-patent-eligibility-section-101/</guid>
      <pubDate>Mon, 16 Jun 2025 12:00:00 +0000</pubDate>
      <description>The Alice/Mayo framework, USPTO examination of AI claims, the Recentive decision, and strategic claim drafting for AI patents.</description>
    </item>
    <item>
      <title>Patent Protection vs Open Source: A Strategic Guide for Startups</title>
      <link>https://ai-patents.com/insights/patent-protection-vs-open-source-startups/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/patent-protection-vs-open-source-startups/</guid>
      <pubDate>Mon, 16 Jun 2025 12:00:00 +0000</pubDate>
      <description>How startups can balance the open source movement’s emphasis on collaboration with the defensibility that patents provide.</description>
    </item>
    <item>
      <title>From Structured Maps to Intelligent Retrieval: A New Paradigm for Technical RAG Systems</title>
      <link>https://ai-patents.com/insights/structured-maps-technical-rag-systems/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/structured-maps-technical-rag-systems/</guid>
      <pubDate>Sun, 01 Jun 2025 12:00:00 +0000</pubDate>
      <description>Most RAG systems rely on flat embeddings. How structured, hierarchical maps enable retrieval built for engineering-grade precision.</description>
    </item>
    <item>
      <title>Introducing the “Spec Map”: A Hierarchical Part/Feature Map for Patents &amp; Technical Disclosures</title>
      <link>https://ai-patents.com/insights/spec-map-hierarchical-part-feature-map-patents/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/spec-map-hierarchical-part-feature-map-patents/</guid>
      <pubDate>Sun, 01 Jun 2025 12:00:00 +0000</pubDate>
      <description>A structured framework that turns free-form patents and technical disclosures into a machine-readable hierarchy of parts and features.</description>
    </item>
    <item>
      <title>How to Successfully Protect AI-Based Technology in 2025: Part I — Understanding the Landscape</title>
      <link>https://ai-patents.com/insights/protecting-ai-technology-patent-landscape/</link>
      <guid isPermaLink="true">https://ai-patents.com/insights/protecting-ai-technology-patent-landscape/</guid>
      <pubDate>Fri, 30 May 2025 12:00:00 +0000</pubDate>
      <description>The unique challenges of protecting generative AI with patents, and the principles behind a strong AI patent strategy.</description>
    </item>
  </channel>
</rss>
