How it works

Patent Search, Reimagined.

NLPatent was carefully crafted by a composite of leading data scientists and patent attorneys. It’s purpose built and brutally efficient.

Describe the invention in natural language

Simply copy-and-paste an invention disclosure, abstract or set of claims directly into the app, or describe the invention in your own words. Using full sentences rather than keywords allows the AI to understand the scope of the invention and search based on conceptual similarity. 

Select relevant
technology areas

Patent language is notoriously obtuse and can vary significantly depending on subject matter. Focusing the search within the appropriate technology area ensures that the AI is looking in the right place and returns only the most relevant results. 

Review the results, ranked by relevancy

NLPatent’s proprietary document-based similarity model ranks results in order of conceptual relevancy, taking the guess work out of which references to review first. Each result can be expanded to display more or less detail through NLPatent’s intuitive user interface. 

Filter, save, and intelligently rerank

Applying filters allows users to zero in on specific features and limitations. Saving results that teach critical elements directs the AI to push similar references to the top of the list, eliminating the need to sift through hundreds of results. Users can see the effects of each refinement; so although the AI is constantly learning, you’ll retain complete control over every search. 

Export the results

Conveniently export results into a spreadsheet or a professionally formatted report that can be saved locally, shared with colleagues or sent off to a client. 
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