Our Approach
AI infrastructure public-private partnerships are among the most complex and consequential agreements that public institutions will enter in the current decade. The private partner — typically a data center operator or hyperscaler — has deep expertise in infrastructure economics and deal structure. The public partner — a university, municipality, or public authority — often does not. That asymmetry creates risk.
LegacyGrid's role is to close that asymmetry — providing independent technical and advisory support that ensures the public partner enters any AI infrastructure agreement with a clear understanding of what it owns, what it is worth, what the minimum acceptable terms are, and how to measure whether the private partner is delivering on its commitments.
Engagement Model
Independent asset assessment before any partner conversation begins
Deal structure review and guardrail development
Community benefit framework development
Owner-side technical review during negotiation
Post-execution accountability monitoring and reporting
Key Considerations for Public-Private Partnerships
Public partner interest protection — ensuring the public asset is not disposed of below market value
Community benefit obligations — local hiring, student pathways, compute access, and environmental review
Governance and accountability structures — board approval, public reporting, and performance measurement
Deal structure protections — lease terms, escalators, clawback provisions, and exit rights
Long-term performance measurement and reporting
Transparency and public accountability requirements
Questions We Help Answer
What does the public partner actually own — and what is it worth to a private operator?
What are the minimum acceptable community benefit and accountability requirements?
What governance and approval process applies to this type of agreement?
What deal structure protections are non-negotiable — and how do we enforce them?
How do we measure and report on private partner performance after execution?