Our 8th “deep Learning” patent will issue on October 9, 2018. it will be the first u.s. patent to combine blockchain with deep learning.


In Alice Corp. v. CLS Bank International, 573 U.S. __, 134 S. Ct. 2347 (2014), the understanding of the patent bar and the practice in United States Patent and Trademark Office (USPTO) was that software system inventions were ineligible for patents. However, in Bascom Global Internet v. AT&T Mobility, LLC, 827 F.3d 1341 (Fed. Cir. June 27, 2016) (Bascom Global), the Federal Circuit indicated that software systems with an "inventive concept" could receive patents.

On July 1, 2016, only four days after the Federal Circuit published its decision in Bascom Global, and with the professional assistance by co-founders Dan Cotman and Obi Iloputaife of CotmanIP Law Group PLC (Pasadena, CA), the provisional application for our first patent was filed. The Priority Date for our first patent, and for each of our patents that is a continuation-in-part of this first patent, is July 1, 2016

On September 27, 2016, the formal application was filed. By agreement with the USPTO, each “continuation” patent will expire on September 27, 2036.

On December 12, 2016, we received the USPTO’s first Office Action: a Notice of Allowance.

On January 24, 2017, our first patent issued as U.S. Pat. No. 9,552,548, with the title of “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning.” Our parent patent had gone from “formal” to “issued” in less than four months. Light speed for the USPTO!

Believing (correctly) that corporate legal departments would be slow to adopt AI technologies, we proceeded to build a patent “family.” On October 9, 2018, the family grow to eight (8), when we combine deep learning with blockchain. See the Blockchain group, below.

International (In Progress).

We've also applied to extend our portfolio to other countries via the Patent Cooperation Treaty (PCT).

On September 22, 2017, the International Searching Authority issued a favorable opinion as to novelty, inventive step, and industrial applicability.

Family Groups.

We group our portfolio in the following informal categories:

General Risk

As recounted above, on January 24, 2017, Patent No. 9,552,548 was issued to Intraspexion founder Nelson E. (Nick) Brestoff as the sole inventor for “Using Classified Text and Deep Learning Algorithms to Identify Risk and Provide Early Warning.”

On September 12, 2017, No. 9,760,850 was issued as a second "general risk" patent. This patent goes by the same title but has different claims.

Specific Risks

On September 5, 2017, the USPTO issued patents related to contract drafting defects (No. 9,754,206), entertainment/publishing projects (No. 9,754,219), and product defects (No. 9,754,205).

Also on September 5, 2017, the USPTO issued Patent No. 9,754,220 for “Using Classified Text and Deep Learning Algorithms to Identify Medical Risk and Provide Early Warning.”

Think of our "medical risk" patent this way: a specific disease is to a specific litigation risk category as symptoms are to the factual allegations in lawsuit complaints.

Financial Advantages

On September 5, 2017, the USPTO issued Patent No. 9,754,218 for “Using Classified Text and Deep Learning Algorithms to Identify Support for Financial Advantage and Provide Notice.” As noted above, this patent is for identifying financial advantages to obtain rather than risks to avoid.


On October 9, 2018, the USPTO will issue our 8th patent as No. 10,095,992. The title is "Using Classified Text, Blockchain, and Deep Learning to Identify Low-Frequency Adverse Situations, and Provide Early Warning." We'll say more about this patent after it issues.