Case Study: DeLaval uncovers hidden prior art with IPRally

How DeLaval use IPRally to find prior art that conventional methods miss

DeLaval, a worldwide leader in milking equipment and solutions, faced the challenge of conducting invalidity searches in a broad and highly technical competitive landscape. To find prior art that patent examiners might have missed, often hidden in misclassified or poorly translated documents, they turned to the AI-powered search platform from IPRally.

The solution from IPRally used its knowledge graph AI and natural language processing to provide a different search angle, reducing noise and speeding up the review process with automatic highlighting. For DeLaval, this resulted in the ability to quickly find hidden prior art that conventional methods missed, providing greater confidence and control during searches and often making a quick search sufficient.

DeLaval

Oskar Christensen

Patent Engineer