Patent Search using Artificial Intelligence and Machine Learning

AI/ML has been successful in 80% of IPR Cases.

Performing an invalidation search is a mandate to collect relevant information in building and strategizing Inter partes review or litigation related to patents. As a first step, collection of data (such as patents, scientific literatures, standards) is usually screened by attorneys or their search partners for identifying the most relevant patents or scientific literature to challenge subject patent or application validity.

XLPAT assist searchers and attorneys in accelerating the process of identifying document by performing first pass automated analysis using advanced technologies like Artificial Intelligence and IBM Watson. XLPAT vis-à-vis competitor’s products were tested on multiple IPR cases to validate performance of the system.

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