The intellectual property departments of the companies have been doing phenomenal work to protect the research work of their company, manage the existing assets, and take various IP related decisions relying on their capabilities and knowledge.
However, these days with the advancement of AI technologies, reliance on machines to take certain decisions within IP departments has been successful in bringing disruption and has potential to outsmart the most promised methodologies of IP searches.
The tech adaptive IP DEPARTMENTS are investing their maximum time in decision making on the output or insights generated by MACHINE.
AI technologies are playing a crucial role in automating the standard workflow of IP searches. There are eight major areas where AI technologies are assisting IP departments in reducing the time spent on different IP searches/ Patent searches.
Automation in Novelty Checking-
IP departments conduct in-house/outsource patentability searches on submitted inventions from R&D departments. AI technologies are radicalizing the conventional way of patentability searches using NLP, Machine learning and semantic analysis. Experts initially submit inventions to the AI engines to receive Novelty REPORTS and VISUALIZATION to decide their potential next steps
- Novelty Reports – AI provides proof of overlap with the prior art and novel elements.
- Visualization- Competitor protection in the technology of interest.
Improving Quality of Patents
IP departments are now adopting a more focused approach to filing IP, it is more targeted and with express knowledge of what completion is up to and ONLY a targeted set of Patent applications are being taken forward- the process of culling is real-time and faster using Artificial Intelligence.
Abandon, renew, out-license decisions
Competitor Product tracking is a continuous process and demands repeated search after a certain interval of time. AI algorithms are convenient and replacing manual intensive repeated searches with an automated alert system.
Identifying Key Patents in a portfolio:
Finding key patents in a portfolio is a cumbersome task where automation can be handy for the evaluation of predefined parameters. Along with this, AI technologies can also mimic the behaviour of expert searcher by comparing competitor and market information with Patent data.
Automation in Invalidity Searching:
Invalidation Searches automation is cutting down about 60% of the time. AI is capable of understanding the meaning from text data and match similarity between different documents by using NLP and Machine learning technologies.
Use of sophisticated tools in Systematic dissemination of Information
The problem of keeping global offices/different departments in sync of changing technologies and upgradation can be resolved by implementing AI-based solutions. IP departments of some companies are setting up a Single Repository Alert system in collaboration with AI vendors for focussed alerts and syncing the alerts in global offices.
AUTOMATION in Inventor Counselling:
A lot of questions are being asked by IP departments to the inventors for the understanding of their inventions. AI technologies can assist IP departments in getting reports and insights from the system in near real-time which enable them to ask focused questions and deduce novel aspects of the invention in much less time.
Automation in IDEATION:
AI can understand user technology and can suggest them new IDEAS. It helps to define the scope and additional embodiments for providing a better draft for an application.
To see how the AI-based IP intelligence software works Check XLPAT
Co-author: Pranav Sharma