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AI Invention Disclosure – What Engineers Should Prepare (Summary)
A concise summary of key elements for drafting AI-related invention disclosures, including datasets, model details, training pipeline, and reproducibility requirements.
Common Mistakes in Invention Disclosures (Summary)
Typical pitfalls that weaken invention disclosures and how to avoid them, from vague descriptions to missing enablement and absent comparative evidence.
Enablement in Invention Disclosures – What to Include (Summary)
How to meet enablement standards in your invention disclosure so that someone skilled in the art can implement the invention without undue experimentation.
Invention Disclosures for Medical Devices (Summary)
What medical device teams should capture in invention disclosures, including safety, regulatory constraints, data provenance, and verification/validation.
Invention Disclosures for Software Engineers (Summary)
A practical summary for software teams on capturing architecture, algorithms, data flows, and measurable improvements in invention disclosures.
Invention Disclosure Scoring Checklist (Summary)
A quick scoring framework to evaluate the strength and completeness of your invention disclosure before filing.
Patent Application Strategy: From Single Filing to a Robust Patent Portfolio
An in-depth guide to developing a successful patent application strategy, covering everything from initial filing and document drafting to building a comprehensive patent portfolio.