Elevate helped a New York-based university evaluate patent strength, identify potential infringement opportunities, and prioritise assets for licensing and enforcement. The engagement enabled evidence-based decisions to maximise the value of the university’s innovation portfolio.
Challenge
A university based in New York sought a strategic IP partner to support its innovation and commercialisation teams in evaluating patent strength, identifying infringement opportunities, and assessing portfolio monetisation potential. Key challenges included:
- Managing a large and diverse innovation portfolio across complex technology domains
- Identifying potential infringement opportunities across rapidly evolving markets
- Developing evidence-backed patent analysis to support licensing and enforcement decisions
- Mapping patent claims against commercial products despite limited public product disclosures
- Delivering rapid, technically rigorous IP intelligence to support strategic decisions
Solution
The customer partnered with Elevate to assess patent strength, identify infringement opportunities, and evaluate portfolio monetisation potential.
- Evaluated patentability and invention strength through patentability searches and prior-art analysis to identify filing opportunities
- Identified potential infringement opportunities by mapping broad patent claims against target products, technologies, and competitor activities
- Strengthened patent analysis through multi-source technical intelligence, including company disclosures, product literature, whitepapers, user manuals, scientific publications, and domain-specific research databases
- Developed Evidence of Use (EoU) claim charts for high-potential infringement opportunities
- Assessed patent commercial relevance and monetisation potential through detailed technology evaluation reports
- Prioritised patents for enforcement and licensing using a structured High/Medium+/Medium/Low infringement-potential framework
- Supported portfolio analysis across diverse technology domains, diagnostics, medical devices, biotech, semiconductor, AI/ML, and medical software
