Intelligent Trademark Analysis: Experiments in Large-Scale Evaluation of Real-World Legal AI

Ronkainen, Anna

Intelligent Trademark Analysis: Experiments in Large-Scale Evaluation of Real-World Legal AI

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law. New York: ACM Press. Pp. 227–231.

5 Pages Posted: 10 Jun 2013

See all articles by Anna Ronkainen

Anna Ronkainen

TrademarkNow Inc.; University of Helsinki, Department of Modern Languages

Date Written: April 19, 2013

Abstract

The intelligent trademark analysis system developed by Onomatics is a trademark information system based on an AI model of trademark similarity (likelihood of confusion). The basic technology can be used as a general trademark search engine as well as for more specific purposes ranging from trademark candidate ranking (TrademarkNow NameRank) to comprehensive risk analysis (TrademarkNow NameCheck) and IPR enforcement. This paper presents a brief overview of the system and the concrete applications available as of April 2013. The system has been evaluated on a large number of actual trademark opposition cases, over 30 000 from the USPTO TTAB and over 20 000 from the OHIM Opposition Division, currently with a precision of 79.9% and a recall of 94.9%.

Keywords: trademark law, similarity, likelihood of confusion, trademark risk analysis, legal AI evaluation

Suggested Citation: Suggested Citation

Ronkainen, Anna, Intelligent Trademark Analysis: Experiments in Large-Scale Evaluation of Real-World Legal AI (April 19, 2013). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law. New York: ACM Press. Pp. 227–231., Available at SSRN: https://ssrn.com/abstract=2276826