William Horne

If 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• Disclosures contain trade secrets and unpublished IP.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.

Patent drafting doesn’t end when the first draft is complete. In many ways, the most important work begins at review.

Jurisdictional compliance, internal style alignment, claim clarity, sufficiency of disclosure, and formal requirements. Each aspect of drafting applications must be carefully checked before filing. Yet a thorough review is time-intensive, difficult to standardize, and hard to scale across teams and large portfolios, especially when up against a tight deadline.

Enter Solve Review

With Solve Review, practitioners can run structured, customizable AI-powered reviews in minutes rather than hours, while maintaining transparency, collaboration, and full control over the output. 

Teams using Solve Review report dramatically, with multi-pass manual reviews that previously took three to four hours completing in a fraction of the time

Key benefits

• AI-powered patent reviews in minutes
• Each review is fully customizable
• Save your reviews as templates, run multiple reviews per application
• Full transparency of working out and results
• Resolve issues detected by Solve Review with AI

Solve Intelligence will be presenting a live product demo at the upcoming private workshop hosted by HG Law and organised by Cosmonauts.

📅 Wednesday, 4 March 2026:

Workshop: 2:30 PM - 6:00 PM | COMO Metropolitan London Hotel, London, UK

Dinner: 6:00 PM - 9:00 PM | COYA Mayfair, London, UK

This session is designed for Heads of IP, Patent Directors, and innovation leaders who want to level up their IP strategy by seeing AI applied in patent drafting, preparation, and prosecution.

Register Here.

Last week, my colleagues and I attended the annual meeting of AUTM, the global association for technology transfer professionals. For anyone building in the intellectual property (IP) space, it’s one of the most important rooms you can be in.

The three-day conference brings together high education decision-makers from around the world who are shaping how intellectual property is evaluated, protected, and commercialized. This year’s conversations revealed something important: the question is no longer if AI will influence tech transfer, but instead about how institutions will integrate it.

This article provides a practical, structured due diligence checklist your firm can use to help move from abstract concerns about AI risk to a clear, repeatable evaluation, which reduces risk, aligns stakeholders, and speeds up internal approval.