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Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Automation & Predictive Analytics In Patent Prosecution: Uspto Implication & Policy, Tabrez Y. Ebrahim
Georgia State University Law Review
Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor– examiner interaction to machine–human interactions. In response to automated patent drafting, automated office-action responses, “cloems” (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor–examiner relationship as a “patenting market,” economic principles suggest stronger efficiencies if both inventors and the USPTO have better …
Unh School Of Law Ip Library: 20th Anniversary Reflection On The Only Academic Ip Library In The United States, Jon R. Cavicchi
Unh School Of Law Ip Library: 20th Anniversary Reflection On The Only Academic Ip Library In The United States, Jon R. Cavicchi
Law Faculty Scholarship
[Excerpt] The UNH School of Law Intellectual Property Library celebrates its twentieth anniversary this year. It is a fortuitous time for this look back and for strategic considerations for the future. This anniversary comes at a time in the history of legal education when conditions over the past few years have intensified the analysis of mission and resources for law school libraries. This article is a retrospective review of the history and dynamics surrounding the founding and first twenty years of growth. It is also an analysis of the future growth and mission of the IP Library during times that …