Witness how AI is reshaping the game for patent offices and setting new industry standards.
The World Intellectual Property Organization projects that global R&D investment will reach an unprecedented USD 2.476 trillion in 2022. The volume of patent applications in many industries has increased, which has led to award delays that further stifle innovation and discourage research and development. “A prior art search of approximately 1.3 billion technical records in 179 online patent databases led to about 600 million documents appearing in search results monthly,” according to a different study done by the EPO. Extended waiting periods for patent inspections may discourage businesses from seeking legal protection because the idea can become outdated by the time the patent is granted. Artificial intelligence, or AI, is able to quickly evaluate vast volumes of data in brief amount of time depending on the particular needs of the user, and patent-related data is no different.
In a sense, the incorporation of AI technology into patent offices is revolutionizing the processes associated with patents and boosting productivity, timeliness, and sustainability.
Let’s examine how artificial intelligence is changing patent offices’ patenting procedures.
Expediting the application process and raising the caliber of patents
The speed and precision of patent searches and exams have been changed by AI-driven breakthroughs. Patent examiners can conduct more effective searches by quickly analyzing large amounts of patent data against new applications by using sophisticated AI search engines. Machine learning models such as LLMs also improve decision-making by thoroughly assessing previous work and case law. These speeds up the procedure overall and enhances the caliber of patent examinations.
Supporting with cost control Even with the growing workloads associated with patent inspection
AI algorithms are revolutionizing the process by decreasing the number of office actions and so saving inventors’ costs. Time and money can be saved by using these technologies to process massive amounts of data and examine patents with ease. Using data analysis and prediction models, AI can identify patterns and trends in patents, helping patent office’s identify likely cases of intellectual property infringement. In addition to speeding up the procedure overall, this enables better decision-making and guarantees the preservation of inventors’ rights and the long-term survival of intellectual property.
Using AI to Automate Patent Classification
To ensure that patent applications are given to the appropriate inspection team, they must be accurately classified. An AI-powered prediction tool may now identify the pertinent Cooperative Patent Classification (CPC) or International Patent Classification (IPC) classes based on a paragraph summarizing the new patent application, streamlining the procedure. In order to assign incoming patent applications to the proper inspection team, this automated patent classification system can help classify them prior to their publication. The categorization process can be further automated and improved by integrating the predictions via an API into the internal tool of an IP office.
Improving The Precision and Accuracy of Patent Searches
The quality and precision of patent search reports have increased because to the integration of AI-powered searches and expert Boolean searches on a single platform. Patent examiners can gain a more comprehensive picture of the previous art world by doing both kinds of searches. Additionally, by evaluating the user’s search strategy and making relevant record suggestions that could have been overlooked, an AI recommendation engine aids in the optimization of search tactics. The accuracy and efficiency of patent research and examination are strengthened by this cooperative combination of artificial intelligence and expert search approaches.
Examining Patent Applications for Quality
For patent examiners, identifying possible problems and contradictions in draft patent applications is an important yet time-consuming process. On the other hand, a tool driven by artificial intelligence has been developed to automate quality inspection procedures, detecting issues like improper numbering, lacking explanations, syntactic mistakes, and more. Examiners may devote more time to higher-level cognitive analysis, such as assessing the breadth of claims or the existence of ambiguity, because the automated quality inspection tool takes care of these low- to medium-level cognitive analysis duties. This fully functional technology promises to increase the accuracy and efficiency of patent inspection procedures as it develops and is integrated into current patent search platforms.
Speed, precision, accuracy of classification, and automation of quality inspection jobs have all significantly improved with the introduction of AI technology into the patent search and examination procedures. Patent examiners now have less work to do and may concentrate on higher-level analysis tasks thanks to these developments. The future of patent searches and examinations is bright, with patent offices adopting AI at an increasing rate and realizing its potential to streamline the examination process. As the landscape of intellectual property rights evolves, this combination of data, technology, and human skill will continue to spur innovation, make intellectual property protection easier, and live up to the high standards set by stakeholders.
It claims to improve the effectiveness and precision of patent examination procedures when integrated into currently available patent search engines.
With its cutting-edge AI-based capabilities, PatSeer revolutionizes the patent examination process. The AI-powered patent search engine facilitates quick retrieval of pertinent prior art and expedites search times. The AI prediction tool directs them to the appropriate examination team by speculating about the associated IPC (or CPC) classes. The combination of PatSeer’s AI and skilled Boolean search improves accuracy and precision, and the AI recommendation engine makes sure that no pertinent records are overlooked. Furthermore, the AI module of the system reviews drafts of patent applications, pointing out mistakes and inconsistencies that don’t require as much cognitive processing. Workflows for patent examination are revolutionized by PatSeer AI, which makes them simpler, more accurate, and more efficient.
