Description
Intellectual property (IP) monitoring involves using AI to track competitor patents, detect similar or related filings, and identify potential infringement risks. By leveraging machine learning algorithms and NLP, these tools can continuously scan patent databases, flag new publications, and provide alerts on relevant developments. This proactive approach helps organizations safeguard their IP, assess competitive landscapes, and navigate potential risks.
