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The relationship of TSM (The Schwartz Method) for drafting airtight utility patents to Artificial Intelligence (AI) is tangential, but substanative in a critical way. TSM is a generative method that is suited to (1) the synthesis of a non-provisional patent application and/or (2)  the reading of a preexisting patent to determine its compliance with all MPEP rules for non-provisionals.

As a method, it is designed to provide an Augmented Intelligence (not “AI” persay) to any patent drafter or to any patent auditor...ie to a human. TSM today, taken as is, remains a human operative technique.  The current set of IP SAVVY Tools is based on this purpose designed algorithm.

Although TSM does not use AI (and therefore is not AI), it uses a generative method similar to how predictive AI applications work. If a version of TSM were to be developed, it would be comprised of the self-same method employed as the operative framework of TSM. The structured, iterative nature of how Schwartz built thi...