William Horne

Partnerships & GTM

William is a commercial professional with strong experience in the IP and legal technology space. He studied Business Management at Brighton Business School and spent four years in a range of commercial and product roles within the IP searching software sector, working closely with customers and product teams to build and scale solutions for patent and IP professionals.

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ARTICLES BYWilliam Horne

May 15, 2026Reflections from Auto IP USA: Standards, Software, and the Shape of Modern Automotive IPA day in Detroit with the people protecting the next generation of vehicles, and what their conversations say about where automotive IP is heading.Read article

April 3, 2026How Solve Intelligence Handles Invention Disclosures and Unstructured DataIf you've been drafting patents for any length of time, you know the real bottleneck is often not the drafting itself. It's the messy inputs that precede it: partial forms, internal review decks, or email threads where the inventive aspects are buried. Getting from that to a coherent starting point for a draft consumes time most practices simply can't afford. AI can perform much of that translation work: extracting what matters, flagging what's missing, and generating the necessary follow-up questions based on holes and shortcomings. But it must operate inside proper confidentiality controls, and its output requires attorney review before going near a draft. This guide covers how that works in practice in Solve Intelligence's platform . Key takeaways The disclosure bottleneck is upstream; AI structures messy inputs before the drafting phase begins. AI extracts features, normalises terminology, surfaces gaps, and generates inventor questions, but attorney review is mandatory. The danger is plausible but fabricated detail, not obvious errors. Watch for AI-generated parameters or 'helpful' specifics. Disclosures contain trade secrets and unpublished IP. Use only tools with verified zero-training, zero-retention policies and enterprise-grade security. A sensible pilot, without client approval, uses anonymised or historical disclosures to define 'good' output and track key metrics over limited timeframe.Read article