From Patent Expiry to Business Pathways: AI Workflows for Activating Innovation Archives
Patent databases represent one of the largest public archives of technical knowledge, yet much of this knowledge remains difficult to identify, interpret, and reuse once patent rights expire or lapse. This paper proposes an AI-enabled framework for discovering expired and lapsing patents, identifying technology trends, and translating patent disclosures into business pathways. We use pathways to mean structured commercialization routes such as SaaS products, services, licensing packages, consulting playbooks, training offerings, data products, or internal process tools. The framework treats patent expiry as both a business signal and an archival transition, not primarily as a legal proble...
| Authors | Sidney Shapiro, Mark Price |
|---|---|
| Primary category | cs.IR |
| Published | 11 July 2026 |
| Last updated at source | 11 July 2026 |
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