The Economics of AI in Patent Practice – Who Captures the Value? – April 16, 2026

 

Artificial intelligence is rapidly transforming patent practice. Drafting, prior art analysis, and review cycles that once required days of attorney time can now be completed in hours.

But this shift is creating a fundamental economic question for patent law firms: who captures the value created by AI-driven productivity?

Corporate IP departments are increasingly expecting faster turnaround and lower costs, while law firms are investing in new tools and workflows to remain competitive. At the same time, many firms are grappling with how AI affects pricing models, staffing levels, and the traditional economics of patent prosecution.

Join us for a candid discussion about how AI is reshaping the business model of patent practice and what it means for law firms competing for sophisticated IP clients.

This session will examine how leading patent practices are integrating AI into their workflows and how firms can use these tools to strengthen existing client relationships while maintaining sustainable economics. The conversation, aimed at partners and patent professionals in leading law firms, will provide a practical look at where the profession is heading and how firms can position themselves to capture value in the next phase of patent practice transformation.

What We Will Cover:

• How leading patent practices are integrating AI into drafting, analysis, and review workflows
• How AI-driven productivity is changing client expectations around pricing and turnaround
• Whether efficiency gains will translate into lower costs, higher margins, or new pricing models
• How AI platforms such as DeepIP are enabling more collaborative workflows between law firms and in-house teams
• What firms must do today to remain competitive as AI adoption accelerates across the patent profession

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With Ryan Phelan, Eli Mazour, Bryan McWhorter and Gene Quinn

To download the slide deck for this webinar, click here.