AIPLA 2026 Annual Meeting Recap: Patent Teams Put AI to Work

ARTICLE

AI was a major theme at the AIPLA 2026 Annual Meeting, and the conversations at our booth showed that patent teams are well past wondering whether to use it. Many are already well into adoption. Now they’re focused on scaling: getting more done across the practice group while keeping quality and professional judgment in place.

Key takeaways

  • Current Solve Intelligence users described time savings that build across drafting, prosecution, and claim charts, not just on one task.
  • Prospective users looked for depth: office action responses that go beyond a first draft, and claim charts with source-level citations.
  • Across the board, IP teams wanted AI they can customize to their own conventions, with practitioners firmly in the driver’s seat.

The meeting ran October 29 to 31 at the Westin Washington DC Downtown under the theme “IP Horizons: Navigating Innovation, AI, and Global Change.” Solve Intelligence exhibited all week, demoing patent drafting, patent prosecution, and claim chart workflows for current users and for IP teams preparing to roll out Solve across their practice groups.

“One of my favorite parts of AIPLA was hearing how people are using AI in their everyday work, and seeing how passionate they are about it. We got into the details of checking citations, working through claim amendments, and fitting AI into each team’s way of doing things. As a former practitioner, I find it rewarding to see both sides: how much patent expertise goes into building the product, and the real impact it’s having for the teams using it.”

— Bree Vculek, U.S. Patent Attorney and Legal & Product Engineer at Solve Intelligence

Time savings that compound across workflows

Current users told us their biggest time savings came from using one platform across connected stages of the work. In patent practice, early decisions carry forward: claim language shapes prosecution strategy, and prosecution history shapes validity and infringement analysis years later. Speed at one stage isn’t a complete win if it creates rework at the next.

Many firms start with drafting and get real value there on its own. When they’re ready to extend AI into the next stage, the same templates and client and jurisdiction styles carry over, so the team isn’t starting from scratch in a new tool.

How far beyond a first draft does AI go?

Prospective users weren’t asking whether AI can produce a draft. They wanted to see how far it goes:

  • Office action responses that include claim amendments and citation generation, not just a starting point.
  • Claim charts with source-level citations for invalidity, freedom-to-operate, SEP, and infringement mapping, supporting litigation teams as well as prosecution.

Our FTO analysis and infringement chart demos showed this well. That kind of claim-mapping work is something generalist AI tools don’t attempt.

How attorneys stay in control of AI output and conventions

The teams we spoke with weren’t looking to hand off judgment. They want AI that works the way they already do. Solve Intelligence is built as a web-based platform for patent work, where attorneys direct strategy, review every output, and sign off. Firms also configure it to their own drafting conventions, client preferences, and jurisdiction requirements, so each practice group can tune its workflows instead of adapting to a one-size-fits-all tool.

How to scale AI without losing quality control

AIPLA 2026 made it clear that AI is now a core part of how the patent bar thinks about practice. The open questions are practical: how to scale across a practice group while keeping quality control and professional judgment in place.

Whether you’re scaling drafting, prosecution, or litigation work, Solve Intelligence is built to save time without sacrificing depth or control. Book a demo to see how it fits your firm’s workflow.

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