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Businesses building AI products on third-party models face a critical intellectual property challenge: determining what parts of their AI systems can actually be protected when competitors have access to the same underlying models. This analysis explores where protectable value sits in AI workflows, from data retrieval and validation processes to system integration and deployment architecture, and why patent strategy must focus on the commercially defensible elements rather than just the AI model itself.

This case establishes a new test for determining the scope of modification which would extinguish an implied licence.