On-Demand Webinar
Stop AI Features from Being Copied: An IP Protection Playbook
A tactical playbook for protecting AI product features before competitors replicate the visible parts of the experience.
Presented by: Bao Tran
Mode: On-Demand
Available until: June 30, 2027
About This Webinar
AI features can be copied quickly when the only visible advantage is the user interface. This webinar explains how companies can identify the deeper protectable layers behind AI workflows, including model orchestration, data pipelines, feedback loops, and domain-specific automation.
You will learn how to evaluate what should be patented, what should stay confidential, and how to build an IP record that supports both growth and enforcement.
What You Will Learn
How to identify protectable AI workflows beyond the UI.
When patents, trade secrets, and contracts each make sense.
How to document technical decisions before launch.
How to reduce copycat risk while continuing to iterate.
Who Should Attend
AI founders, product teams, machine learning leads, and executives building AI-enabled products.