AI-Powered Patent Tagging: The End of Manual and Legacy Methods
This report is published by Patsnap.
This report highlights the shortcomings of manual patent classification and legacy machine learning approaches, which often result in costly mislabels and insufficient accuracy. Patsnap introduces its AI-powered tagging system, achieving 99.4% accuracy across over 238,000 patents. By leveraging a domain-specific LLM, organizations can cut classification time from weeks to minutes, reduce annual costs by up to $500k, and minimize strategic risks from misclassification. The solution not only transforms patent intelligence into a competitive advantage but also future-proofs operations with scalable, real-time update.
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Patsnap empowers global IP and R&D leaders with AI-augmented intelligence solutions, so they can make high-impact innovation decisions.
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