All tagged Third-Party Submissions

Using Deep Neural Networks to Decide Whether to Copy Claims or File a Third-Party Submission

Using Deep Neural Networks to Decide Whether to Copy Claims or File a Third-Party Submission

James Busch
Deep Neural Networks, Patent Prosecution

In my prior articles, I have discussed substantially copying claims, and third-party submissions. This raises the question, should you copy competitors claims, or file a Third-Party Submission (3PS) (if the timing requirements of 35 USC 122(e)(1) are met)? Deep neural network techniques can be utilized to help decide the best course of action.

Using Deep Neural Networks to Seed Forward Citations with Third-Party Submissions

Using Deep Neural Networks to Seed Forward Citations with Third-Party Submissions

James Busch
Deep Neural Networks, Patent Prosecution

Forward patent citations of your specification can make your patent more valuable. Deep neural networks can be used to help patent owners increase their forward citation count through the use of Third-Party Submission (3PS) forms in their competitors patent applications. Based on the information discovered and generated using deep neural network techniques, a 3PS form can be completed and submitted in the third-party application. In time, the patent owner’s application will then show an increased forward citation count based on that submission.