Artificial intelligence is rapidly becoming a part of patent drafting workflows, but not all AI tools are built for the same job. Generative AI can generate fluent, natural-sounding text and accelerate certain drafting tasks, but patent filing requires more than sophisticated language. It requires accuracy, consistency, technical accuracy, billing support, and legal judgment. Using the wrong tools in the wrong places can introduce errors, create risks, and compromise the quality of your patents.
This webinar Thursday, June 25th, 12:00 PM ETbrings together experienced IP practitioners to provide practical, no-nonsense guidance on how to decide which tools are right for your work, and specifically, how to choose between generative AI and rule-based or non-generative patent tools. The discussion will go beyond general AI enthusiasm and focus on where and why these tools actually fit into the patent preparation process.
Panelists will consider which parts of patent applications could benefit from generative AI, where structured tools are better suited for accuracy and consistency, and why human expertise remains essential. Attendees will gain a practical framework to evaluate and integrate AI tools into their drafting workflows and make deployment decisions with more confidence without sacrificing quality or professional judgment.
The key points are:
- Understand clearly the difference between generative AI and rule-based or non-generative patent drafting tools
- Practical guidance on which drafting tasks are suitable for generative AI and require structured, precision-focused tools.
- A real-world perspective on how law firms and IP teams are currently integrating AI into their patent preparation workflows
- A framework for evaluating AI tools and determining where they can enhance, rather than replace, the judgment of seasoned patent practitioners.
