Chantal Whitfield Joins Solve Intelligence

As Artificial Intelligence (AI) and large language models (LLMs) increasingly integrate into legal practices, the U.S. Patent and Trademark Office (USPTO) issued guidance to assist patent attorneys with adopting AI tools in patent drafting, prosecution, and other areas of patent law.

In this article, we summarize the key compliance requirements from the USPTO's guidance and explain how Patent Copilot™ helps practitioners meet these obligations while leveraging AI's benefits.

The UK Supreme Court’s Emotional Perception decision moves UK practice closer to the EPO for computer implemented inventions, including AI. Claims with ordinary hardware will usually avoid the “computer program as such” exclusion, but only technical features can support inventive step. In practice, applicants should focus arguments and evidence on technical contribution and inventive step.

Key takeaways

1. UK moves closer to EPO, inventive step becomes the main battleground.
2. Ordinary hardware avoids exclusion, but may not support inventiveness.
3. Only technical features count at inventive step, not business aims.
4. Neural networks are treated as software, no special treatment either way.
5. Draft around technical contribution, measurable effects, and system level impact.

A lot has happened in the last two months. We wanted to take a moment to share what we've been building, who's joined us, and where we're headed next.

Since we started Solve, the goal has been simple: help IP teams do their best work by combining real-world patent expertise with deep AI research, intuitive UX, and state-of-the-art security. The momentum we're seeing across the business tells us the market agrees as 400+ IP teams across 6 continents now use Solve.

Here's what's new.

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.