Just because it is the way you’ve always done it, doesn’t mean that should be the way you do it. Your manual office action response workflow has been in place for years. You know what to expect, and so does your team. But being entrenched in a process doesn’t necessarily mean it is working. Your patent practice might be overdue for a change, you just don’t realize it.

You know you need to leverage your staff for more strategic tasks, but how can you tell if workflow automation is the answer? It doesn’t have to be guesswork.

In the world of IP law, efficiency is key. As patent practitioners know all too well, manually managing the flow of information disclosure statements can be a cumbersome and time-consuming process. 

All IP firms want to be able to clearly and effectively show the positive impact of their work on their client’s patent portfolios.  

Starting the year off on the right foot is crucial for patent attorneys to ensure efficiency, productivity, and success in their practice. 

Competition is a vital component of doing business, especially for patent teams. Competition forces you to innovate, finding creative solutions to protect and grow every patent portfolio on your books.

Will an interview lead to an allowance? Should you appeal? Is it time to abandon? How long is too long between filing and the first office action? As an experienced patent professional, you know that predicting examiner behavior is key to finding the shortest path to an allowance, but without the right data, you’re just guessing.

With the right data, IP practitioners can make nuanced and strategic decisions to aid their patent prosecution process.

Patent analytics drive better prosecution outcomes – including less time to allowance, improved client relationships, and, crucially, increased profitability.

Burnout can lead to an increased risk of error, lower productivity, and increased employee turnover.

As a seasoned patent professional, you are confident in your strategy. But more and more often, your clients are demanding proof of your data-driven decision-making.