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by btrettel 1482 days ago
Former patent examiner here.

There have been quite a few patent drafting softwares over the years. They seem to do a reasonable job guiding someone through the process of writing the patent application. But search and submission are not automated.

Here are some softwares that are still currently on the market:

https://www.ipwatchdog.com/patent/invent-patent-system/

https://www.neustelsoftware.com/patentwizard/

http://www.lanaconsult.com/products.htm#AutoPat

AI-based patent search approaches don't work that well at the moment. I wrote about this before on HN: https://news.ycombinator.com/item?id=31216394

AI-based patent search seems to look at citations (which is somewhat worthless as I'll look at citations anyway) and have some measure of text-based similarity. In my experience it does a poor job when the terminology varies. There was no substitute for making a search string containing a lot of synonyms.

I think AI-based patent search could see a lot of improvement in the future if it simply started looking at the drawings. As a "mechanical" examiner, many of the applications I worked on were most effectively searched by flipping through patent drawings. Sometimes the prior art I'd use to reject an application would have drawings that are remarkably similar to those of the application I'm examining. But other times (particularly involving flow or electrical circuits), the drawing is equivalent in some sense but arranged differently. A more advanced AI/ML approach is needed for those.

1 comments

Thank you for the great response. Yes, I can definitely see how mechanical or physics based patents would be beyond the AI's remit at the moment. As someone who is considering going for a software patent sometime in the near future I was pretty disheartened by the patent process - both submitting the patent (the expense can be up to $500k I was told) and also defending the patent from larger companies seemed impossible. Perhaps an AI can start with easily understandable patents like software, or primarily word- or keyword based patents, and go from there to an ML approach for physics and such.