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Disclosure Requirements United States Patent and Trademark Office Inventors

Maynard Nexsen

A Guide for Successful Patent Disclosures from Start-Ups to Large Companies

Maynard Nexsen on

The quality of a patent begins to take shape at the time of disclosure. An inadequate disclosure can greatly affect the quality of the patent. The level of sophistication of a client typically dictates the quality of patent...more

Rothwell, Figg, Ernst & Manbeck, P.C.

Key Inventorship Considerations in AI-assisted Drug Development

The utilization of artificial intelligence (“AI”) is becoming ubiquitous across a wide range of industry sectors. The biotech industry is no exception. AI-driven platforms have become increasingly useful to biotech...more

Rothwell, Figg, Ernst & Manbeck, P.C.

The Pros And Cons Of Protecting AI As Trade Secrets

Trade secrets have become a de facto intellectual property right for securing valuable artificial intelligence information. Despite regulatory trends toward greater transparency of AI models, federal policy acknowledges,...more

Lowenstein Sandler LLP

USPTO Issues Inventorship Guidance for AI-Assisted Inventions - AI-Assisted Inventions are Not Categorically Unpatentable

Lowenstein Sandler LLP on

On February 13, the United States Patent and Trademark Office (USPTO) issued inventorship guidance, effective immediately, for inventions created with the assistance of artificial intelligence (AI). The guidance addresses...more

Sheppard Mullin Richter & Hampton LLP

AI-Assisted Inventions: Is There a Duty to Disclose the Use of AI?

Inventors and patent practitioners filing patent applications before U.S. Patent and Trademark Office (USPTO) may have an obligation to disclose if artificial intelligence (AI) is used in the innovation process....more

Akin Gump Strauss Hauer & Feld LLP

Patentability and predictability in AI-assisted drug discovery

Artificial intelligence (AI) and machine learning (ML) are ushering in a new era in drug discovery. The AlphaFold2 system developed by Google’s Deepmind was able to predict the 3D structures of over 200 million proteins -...more

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