Clarivate Adds AI Tools for Patent Benchmarking and SEP Analysis in Innography

Oct 31, 2025
Clarivate has introduced two new AI-powered tools within its Innography platform: the AI Classifier for patent portfolio benchmarking and the SEP Analyzer for standard essential patent analysis. The tools aim to accelerate portfolio strategy and licensing decisions.

Clarivate has launched two new AI-powered tools within its Innography platform, announced in a press release. The new additions—Innography AI Classifier and Innography SEP Analyzer—are designed to enhance patent portfolio benchmarking and streamline standard essential patent (SEP) negotiations.

The Innography AI Classifier uses supervised machine learning and large language models to categorize patents with up to 97% accuracy. It operates with or without training data, enabling professionals to classify portfolios quickly and consistently using data from the Derwent World Patents Index.

The Innography SEP Analyzer normalizes and categorizes SEP data, providing visual summaries for easier comparison and reporting. It helps patent strategists and licensing professionals assess competitor portfolios and support licensing discussions more efficiently.

Clarivate stated that both tools aim to accelerate decision-making in patent portfolio management and commercialization by combining AI capabilities with enriched data resources.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Legal AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Legal AI Enterprise AI AI Brief AI Brief (X)
Free newsletter

Legal AI Weekly

The source for the Legal AI software news, analysis, emerging applications: contract review, e-discovery, research.

AI Token Webinar

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.