The US Patent Database is a huge, focused, and underappreciated source of knowledge—and a large, technically focused corpus. Join Van Lindberg to see how applying some natural language processing to the USPTO can teach us some things about the state of technology and coincidentally help the patent database fulfill its mission of being a freely available source of technical knowledge.
Van Lindberg is an open source and intellectual property lawyer based out of San Antonio. Van’s professional work focuses on the intersection of technology and law, with particular expertise in the area of open source. Over his career, he has helped businesses with everything from open source compliance to business strategy and represents companies in high-stakes IP litigation and inter partes review proceedings before the Patent Trial and Appeal Board. Van has represented companies on Capitol Hill, before Congress, and in industry associations; has led teams through successful mergers and acquisitions and restructurings; and has organized employee agreements to create greater employee satisfaction and promote higher compliance with internal policies.
Van is a regular speaker on everything from community dynamics to graph theory and has testified in Congressional proceedings as an expert on both copyright and encryption policy. In 2012, he was named one of “America’s top 12 techiest attorneys” by the American Bar Association Journal. He is the author of Intellectual Property and Open Source.
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