Firms spend millions of dollars on patent litigation, blocking, and invalidation. This is in large part due to their inability find all the patents similar to theirs. We are applying state-of-the-art natural language processing techniques to automatically find similar patents. Our models use large neural networks and vast amounts of text to learn the contextual information in documents, and thus accurately classify similar patents.
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