Managing IP is part of the Delinian Group, Delinian Limited, 8 Bouverie Street, London, EC4Y 8AX, Registered in England & Wales, Company number 00954730
Copyright © Delinian Limited and its affiliated companies 2023

Accessibility | Terms of Use | Privacy Policy | Modern Slavery Statement
Sponsored content

The role of AI in enhancing productivity in patent offices: CAS whitepaper brief

Sponsored by

Logo 22.07.22.png
Cover image.jpg

CAS shares how patent offices around the world are adopting AI, and explains the benefits of clean data, multiple algorithms, and leveraging human expertise alongside technology

The global patent system is under pressure from a rapid growth in patent application volume and complexity. As patent offices struggle to meet growing workloads, patent examinations can be delayed, impacting efficiency, putting patent quality at risk, and reducing customer satisfaction.

To combat this, patent offices are taking a number of approaches to improving the speed and quality of their patent examinations, including global IP harmonisation, hiring more examiners, and introducing technologies such as AI.

AI is being used to optimise prior art search workflows, patent classifications, machine translation, and other functions. The speed and accuracy with which AI can analyse millions of data sets reduces the time taken for reviews from hours or days to minutes.

Applying AI successfully in patent office workflows

A collaboration between CAS and the National Institute of Industrial Property (INPI) of Brazil yielded significant improvements in prior art searching using an AI-enabled workflow solution:

  • Up to a 50% reduction in examination times;

  • Reduced search times for over 75% of applications processed; and

  • Contributed to an overall reduction of 80% in the office’s patent backlog

Three important insights into how predictive solutions should be structured to optimise patent office workflows are below:

1. Clean, structured data

Using high-quality data to train AI models and to perform searches is crucial for identifying patents with similarities and adjacent patents to produce high-relevancy results.

However, most organisations use data that is unstructured, making it difficult to search and therefore less useful for AI. Publicly available scientific data can also include transcription errors, mislabelled units, and overly complicated patent language – as well as being published in any one of more than 60 languages.

These issues are especially challenging in fields such as chemistry and life sciences, where substances are often described inconsistently across publications and with key words embedded in tables or images, making the information unreadable by most search technologies.

High-quality data can resolve this challenge to improve the relevancy of results returned through AI-enabled prior art searching.

2. Multiple algorithms

Using structured data, multiple algorithms can be trained to find semantic, syntactic, connectedness, and substance similarities.

The INPI Brazil solution integrated four types of algorithms for text-based and substance-based analysis, including deep learning and term frequency-inverse document frequency. Using multiple algorithms allowed the AI to find multiple types of substance similarities all in one multifaceted solution.

Once the first-level algorithms had returned their similarity results, an ensemble algorithm analysed the results and arrived at a single, prioritised list of the publications that were most likely to be in conflict with the target patent for examiners to review.

3. Leveraging human expertise alongside technology

Pairing technology with a team with expertise in areas from data analytics and workflow integration to high-performance computing, cloud computing and scientific searches improves project outcomes.

For INPI Brazil, the CAS IP search team was able to support the examiners’ searches by validating algorithm results during solution development and by performing highly complex searches to augment the office’s capabilities. The combination of human expertise with expediting technology proved to be a successful formula.

Optimising for the future

Patent offices will continue to require approaches that enable them to meet stakeholder expectations while operating under operational and resource constraints. Flexible technological solutions will improve efficiencies and productivity and will be vital investments for the future.

Download the complete whitepaper here.

more from across site and ros bottom lb

More from across our site

The IPO must change its approach and communicate with IP owners about its attempts at clearing up the trademark register
Counsel are looking at enforceability, business needs and cost savings when filing for patents overseas
James Perkins, member at Cole Schotz in Texas, reveals how smaller tech companies can protect themselves when dealing with larger players
We provide a rundown of Managing IP’s news and analysis coverage from the week, and review what’s been happening elsewhere in IP
The EUIPO management board must provide the Council of the EU with a performance assessment before it can remove the executive director
The European Commission confirmed that plans for a unitary SPC will be published in April alongside reforms to the SEP system
The court held that SEP implementers could be injuncted or directed to pay royalties before trial if they are deemed to be unwilling licensees
Patentees should feel cautious optimism over the EPO Enlarged Board of Appeal’s decision in G2/21, say European patent attorneys
Significant changes to the standard of law are unlikely, say sources, who note that some justices seemed sceptical that the parties disagreed on the legal standard
Sources say the High Court of Australia’s ruling that reputation is immaterial in trademark infringement cases could stop famous brands from muscling out smaller players