Sponsored by IP.com
Webinar: Before the Draft – Deciding What Is Worth Patenting in the AI Era
AI can now produce a polished patent application in minutes. But speed at the drafting stage assumes the most important threshold question has already been answered: Is the underlying invention sufficiently novel and nonobvious to justify pursuing patent protection?
That determination sits upstream from the efficiencies delivered by today’s generative AI tools. AI can search, organize, compare, and help frame the analysis, but it cannot eliminate the need for informed human judgment. And patentability is only part of the equation. Even when an invention may be novel and nonobvious, it may not be sufficiently valuable, differentiated, or commercially relevant to warrant the cost of patent prosecution and long-term portfolio maintenance.
Join us on Thursday, September 3, at 12 PM ET, for a practical examination of the decisions that should occur before drafting begins. Our panel will discuss the risks of generating a confident, technically polished patent application around an idea that is not meaningfully new; what a defensible patentability assessment requires; and how inventors, practitioners, and IP leaders can make faster, better-supported decisions to pursue, refine, or set aside an invention.
During this webinar, we will discuss:
- The four decision gates an invention passes through – concept, refinement, filing, and portfolio – and why the earliest gates increasingly determine downstream value.
- How to distinguish a fluent AI-generated disclosure from an invention that is genuinely novel and potentially patentable.
- How corpus-grounded, evidence-based analysis can produce patentability assessments that are scored, sourced, and traceable to the relevant patent record.
- How IP teams can make more efficient and defensible pursue, refine, or set-aside decisions before committing significant drafting and prosecution resources.
- Why experienced inventors and practitioners must remain central to evaluating, refining, and selecting inventions even as AI assumes more of the drafting process.
