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AI framework activates dormant patent knowledge for business pathways

By PulseAugur Editorial · [2 sources] ·

Researchers have developed an AI-enabled framework designed to identify and activate dormant knowledge within patent archives. This system analyzes expired and lapsing patents to uncover technology trends and translate them into potential business pathways, such as SaaS products or licensing opportunities. A proof-of-concept demonstrated the framework's ability to process patent records, identify candidates, and generate structured review packets using a Qwen3.6 model, while also highlighting the need to address legal uncertainties and data limitations. AI

IMPACT Enables new methods for commercializing dormant intellectual property by leveraging AI for knowledge discovery and translation.

RANK_REASON The cluster contains an academic paper detailing a new AI framework and its proof-of-concept evaluation.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI framework activates dormant patent knowledge for business pathways

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Sidney Shapiro, Mark Price ·

    From Patent Expiry to Business Pathways: AI Workflows for Activating Innovation Archives

    arXiv:2607.10179v1 Announce Type: cross Abstract: 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-ena…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Mark Price ·

    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…

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