In today’s innovation race, intellectual property (IP) is more than a legal asset. It represents competitive advantage, market position, and a potential source of revenue or investment.
Yet many companies still rely on outdated methods to manage their patent portfolios. As AI transforms business operations, IP professionals must adapt—or risk falling behind.
Is AI-driven portfolio optimisation the answer?
In this webinar, we’ll explore how outdated workflows, manual processes, and siloed teams hinder progress, especially when competitors are already using AI to optimise their strategies.
AI has the potential to flip this dynamic. By enabling smarter, data-driven decisions, AI helps IP teams gain insights, make stronger filings, and align portfolios with broader business goals.
We’ll cover key opportunities, including:
• Smarter portfolio optimisation: Benchmark in real-time against competitors, tech trends, and citations to stay ahead and make proactive decisions
• Precise filing: Predictive analytics improve application success rates and provide a competitive edge
• Scaling IP strategies: Leverage advanced tools to compete on equal footing with the biggest players
• Faster due diligence & FTO: Automate prior art searches, risk analysis, and FTO reviews to save time and reduce legal exposure
• Improved ROI from IP: Data-led decisions lead to stronger, more impactful patents
• Enhanced collaboration: AI breaks down silos, aligning legal, R&D, and commercial teams
• Reducing litigation risks: Spot potential issues early to avoid costly disputes
• Global IP risk management: Gain oversight of international portfolios and mitigate infringement risks
• Innovation & licensing opportunities: Uncover new prospects to speed up R&D and accelerate adoption
Panelists
• Host: Sarah Speight, Senior Writer, World IP Review
• Maaike van Velzen, IP Manager, VITO NV
• Lewis Lee, Founder and CEO, Moat Metrics