AI Software Licensing & Proprietary Algorithm Protection

Our client, a leading innovator in neural network architectures, discovered that their proprietary core licensing model was being systematically bypassed by a secondary platform using obscured API calls. The complexity was twofold: the "pirated" code had been modified through AI-assisted refactoring, making standard signature matching nearly impossible to prove in a traditional court setting.

The stakes were existential. If the infringement remained unaddressed, the client's valuation—pegged heavily on their exclusive algorithm—would plummet. The opposition argued that the resulting software was a "transformative new work" generated by non-human actors, challenging the very foundation of existing copyright law.

Julianne Thorne and the IP litigation team pioneered a "Forensic Code Genealogy" approach. Rather than focusing on the static code, we tracked the developmental logic and optimization patterns that remained consistent across the refactored versions.

• Expert testimony from top-tier computer scientists to validate the uniqueness of the neural weights.
• Filing for an urgent injunction to freeze the competitor's deployment while evidence was gathered.
• Negotiating a structured licensing agreement that converted a legal battle into a sustainable revenue stream.

After six months of aggressive litigation and technical arbitration, a settlement was reached. The defendant agreed to a $2.4M immediate payout for past infringements and signed a 7-year licensing contract worth an estimated $1.2M annually.

Critically, Thorne Law secured a precedent for the client's future IP claims, establishing that "AI-refactoring" does not strip the original creator of their intellectual property rights.