Artificial intelligence is rapidly becoming part of the patent drafting workflow, but not every AI tool is built for the same job. Generative AI can produce fluent, natural-sounding text and accelerate certain drafting tasks, but patent applications demand more than polished language. They require precision, consistency, technical accuracy, claim support, and legal judgment. Using the wrong tool in the wrong place can create errors, introduce risk, and undermine patent quality.
This webinar on Thursday, June 25, at 12 PM ET, will bring together experienced IP practitioners to provide practical, real-world guidance on how to determine what is the right tool for the job, specifically choosing between generative AI and rules-based or non-generative patent tools. The discussion will move beyond generic AI enthusiasm to focus on where these tools actually fit in the patent preparation process and why.
Panelists will examine which parts of a patent application may benefit from generative AI, where structured tools are better suited for precision and consistency, and why human expertise remains indispensable. Attendees will leave with a practical framework for evaluating AI tools, integrating them into drafting workflows, and making more confident adoption decisions without sacrificing quality or professional judgment.
Key takeaways will include:
- A clear understanding of the difference between generative AI and rules-based or non-generative patent drafting tools
- Practical guidance on which drafting tasks are appropriate for generative AI and which require structured, precision-focused tools
- Real-world perspectives on how law firms and IP teams are successfully integrating AI into patent preparation workflows today
- A framework for evaluating AI tools and deciding where they can augment – not replace – the judgment of skilled patent practitioners
