Where AI fits in IP research is less about speed than about knowing what it can safely surface, what it can miss, and when human checking is required. This course helps attorneys, paralegals, legal operations teams, and IP professionals evaluate AI-supported patent, trademark, and copyright research with a practical verify before relying mindset. You will learn how to judge search outputs, spot coverage and language gaps, compare tools, and apply a reusable verification approach that supports legal and business decisions.
AI-supported IP research tasks, prior art search outputs, corpus limits, missed patents from database and language gaps, cross-border tool selection, and a reusable verification checklist. Coverage also includes auditability, confidentiality, scope disclosures, and the difference between usable output and unsupported AI guesses.