Answers for Searching

Beta Testing

Jul 26, 2019 3:52:49 PM / by Curtis Wadsworth, Founder, CEO

We invited 22 people to preview Dorothy, and I’ve had butterflies in my stomach for more than a week.

I’m not a nervous person. I spent 12 years in a busy patent practice group at a big firm with big clients and a boss who is as demanding as he is brilliant. I’m running Three10 Consulting, my “law firm,” and DorothyAI. I am no stranger to stress. This is different.


DorothyAI board chairman and Star Trek enthusiast, J.L. Packard, consents to begin beta testing.

Dorothy is ready. The results being returned are getting better. In fact, late last week, a test case search returned three results that were spot on: The source document, i.e. the patent on which the search is based, and two of the 20 most relevant results based on our in depth searches. See We Are Scientists. Our long term goal is to return results like this. We have a long way to go to obtain results like this in every CPC Section, but I’m excited nonetheless.

I know the beta testers personally. They’ll test Dorothy’s capabilities and no doubt find problems. One tester already has plans to compare Dorothy’s results to a freedom-to-operate search he performed himself. I am both excited to see how Dorothy compares to a seasoned patent professional who has probably done and managed hundreds of searches and scared shitless. It’s a strange feeling, especially for a tough guy.

Oddly, I’m more concerned that our testers won’t like Dorothy. I am 100% sure that the effort we put into the user interface and user experience with our commercial software development partner, Truefit, were worth it. The interface is straightforward, user friendly, and handsome. The platform is easy to use (I think). Will actual users like what we’ve done? Is this how a parent feels on the first day of kindergarten?

Only time will tell, I suppose.

In the meantime, I can assuage my nervousness with the piles and piles of work that come with beta testing, building software, training law school interns, hiring an engineer, serving clients ... and writing this blog. Wish us luck!




Tags: Patent Law, Natural Language Processing, AI, Legal Tech, Machine Learning