Blog
Perspectives on how artificial intelligence is reshaping patent practice, IP strategy, and the future of intellectual property law.
When a global technology giant needed to bridge the gap between its proprietary internal R&D and global patent datasets, traditional methods hit a wall. Relying on rigid keyword-based searches to connect engineering terminology with complex external patent classifications proved too slow and resource-intensive to scale across an evolving entertainment ecosystem.
When a consumer products leader needed to continuously update its patent landscape amidst thousands of annual publications, traditional methods hit a wall. Relying on complex Boolean queries, manual reviews, and static categories proved too slow and resource-intensive to scale.