Knowledge is powerful . . . if you have it and know how to use it.
Patent Engine is a collaboration between patent litigators and data scientists to help the patent industry unlock useful data and make better decisions. The data is scattered everywhere: Pacer, USPTO, law firm websites, expert witness CVs, etc. It needs to be gathered and transformed into actionable information.
This is our mission.
The journey started in early 2013 with a problem: how do you find the relevancy between any two patents?
It is a very complex problem. What does it mean to be relevant, how relevant is relevant enough, who decides what counts as relevant, how do you compare results to determine accuracy? Solving this problem requires a very, very long trip down the road of big data, algorithms, subjective judgment calls, and statistics.
But if this problem can be solved, the applications are varied and extremely powerful. Companies can find technically relevant patent litigators and prosecutors, law firms can find relevant expert witnesses and prior art, and academics can explore trends in patent litigation by technology area.
We rolled up our sleeves, put on our thinking caps, and began doing what we do best: solving problems.
By late 2014, an algorithm had been developed, tested, and built using sample data. With the hint of success in the air, in early 2015, the team was expanded, full data was acquired, and features were built around this core idea.
In March 2015, the first feature was publically launched: a daily docket monitoring email with analytics about how technically relevant each attorney was to each recently filed patent case.
In May 2015, the website was launched to provide even more actionable analytics to patent litigators and companies.
In June 2015, the pitch template was launched to our early advisers. This feature combined our actionable analytics with an appropriate structure so patent litigators could effectively convey their unique experience to potential clients. This helps patent litigators get hired more often and allows them to focus on cases where they have a natural competitive advantage.
In August 2015, the analytics were expanded to include a firm's rank in the district, before the judge, and against the plaintiff's counsel.
With feedback from patent litigators and advisers, we will continue to find more data and provide it to the industry as actionable information.