Intellectual Property

Intellectual property (IP) protection and management are undergoing a transformation driven by advancements in artificial intelligence (AI). Current research focuses on automating IP workflows, particularly patent analysis and prosecution, using large language models (LLMs) and multi-agent systems, often incorporating techniques like graph neural networks and reinforcement learning. These efforts aim to improve efficiency, accuracy, and compliance in IP management while also addressing challenges like IP protection for AI models themselves and the ethical implications of AI-generated content. The resulting improvements in IP processes have significant implications for innovation and the legal landscape surrounding digital assets.