Assessing Patent Strength Using Data Driven Inputs: Characteristics Of Patents And Patent Owners That Drive Success In Inter Partes Review

March 2018

The environment for patent licensing and en­forcement is rapidly transforming. Inter partes review and other post-grant proceedings under the America Invents Act, changes to legal standards governing patent eligibility, and increasingly stringent review of patent damage awards have all combined to alter substantially the risk profile associated with pat­ent licensing and enforcement. In this highly dynamic environment, patent holders, capital investors, and po­tential licensees alike increasingly look for data-driven quantitative inputs to evaluate patent-related risk.

This paper details our analysis of objective, publicly available patent data to evaluate the relative strength of patent portfolios. This type of data-driven analysis can provide valuable inputs to parties selecting patents for potential licensing, evaluating potential investments in patent-related enterprises, and evaluating potential risks associated with patent licensing and enforcement. 

Originally published in Les Nouvelles, March 2018

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Disclaimer

Christopher K. Larus

Partner

Chair, National IP and Technology Litigation Group

Shelley R. Gilliss, Ph.D.

Chief Talent Officer and Chief Administrative Officer

Congnan Zhan, Ph.D.

Senior Economic Consultant / Data Scientist

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