Within the IP industry, Artificial Intelligence (AI) and Machine Learning (ML) will redefine the way the industry works – transforming processes and connecting an IP network of users. CPA Global plans to put AI and ML at the core of new solutions we are developing for our customers. Below are three key areas where we are making strong progress and will become major parts of The IP Platform in the coming years.

Search and analytics

In 2016, the World Intellectual Property Organisation (WIPO) reported the total number of patent applications filed was 3.1 million. This ever-increasing number of patents means more data to search through. Finding relevant results in this abundance of information is challenging and time-consuming. CPA Global’s Innography® software leverages state-of-the-art AI and ML technology to extract relevant data sets and uses visualisations to uncover insight. While current IP searches are static and largely never used again, all of our patent search solutions will use ML in the future to improve searches, institutional knowledge and insights whilst saving significant time.

Ideation in R&D

Research and development efforts do not always have valuable outcomes for the company and encouraging inventors to share more ideas can be challenging. IdeaScout™ is an AI-based software that provides an intuitive way for inventors to collaborate and get immediate feedback on ideas and for IP teams to protect more ideas with IP rights. Inventors can refine ideas with automated feedback from the AI engine, influencing the quantity, quality and business value.

IP automation

One of the most expensive and time consuming areas in IP is administrative tasks. Two example areas are:

  • Instructions and information retrieval: law firms receive thousands of email instructions from their clients every year to file patents or trademarks. Current manual operations are extremely time consuming.
  • Docketing: emails are received from various patent offices and IP associates around the world that all need to be docketed correctly. The manual process – often deployed – involves steps that could easily result in the wrong data being entered, potentially leading to a loss of IP rights.

Deploying AI and ML technology will enable IP teams to focus on more strategic activities and reduce time spent on administrative tasks. The more data and documents available, the better the AI engine becomes at identifying the information in emails and documents, creating a faster and more accurate outcome for IP professionals. AI and ML is undoubtedly the future of IP.