IP Commercialization with AI: Find Licensing Partners, Value Technology, and Drive Revenue
Introduction IP commercialization — converting patent assets into revenue — is one of the highest-value activities an IP team can undertake. It is also one of the most systematically underperformed. Industry estimates suggest fewer than 20% of corporate patents generate...
Patent Invalidity: How AI Structures Prior Art Search, Generates §102/§103 Analysis, and Automates Claim Mapping
Patent invalidity analysis is not one workflow. It is three simultaneous workflows — and the outcome depends on how well they are coordinated A prior art search that finds the right reference but cannot map it to the asserted claim...
CIP Patents: How AI Identifies New Claim Opportunities, Builds Patent Families, and Maximises Portfolio Coverage
A granted patent is a starting point, not a finish line. The most defensible IP positions are built from patent families — parent patents extended through continuations and continuation-in-part applications that follow technology development and block competitive workarounds. Most companies...
Defensive Publication: How AI Helps IP Teams Choose the Right Strategy, Draft Prior Art, and Protect Innovation Cost-Effectively
Introduction Not every invention needs a patent. And not every invention that does not need a patent should be left unprotected. Defensive publication is the third option that most IP teams underuse — the deliberate disclosure of an invention to...
Patent Infringement: How AI Builds Claim Charts, Maps Evidence of Use, and Scales Licensing Campaigns
Introduction Patent claim charts are the foundational document of patent infringement analysis — the structured map that shows how each element of a patent claim reads on a specific product or process. Building a single claim chart manually takes an...
IP Landscape Analysis: How AI Maps Technology Domains, Surfaces White Spaces, and Guides R&D Investment Decisions
Introduction An IP landscape report commissioned today describes the state of the art as it existed when the analyst pulled the dataset — typically six to ten weeks ago. In a technology domain where relevant filings number in the thousands...
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