Medical office leases combine the financial complexity of office leases with specialized provisions unique to healthcare. The typical MOB adjacent to a hospital system has anchor tenants (the health s
ystem itself) whose departure would devastate the property's viability — creating co-tenancy-like risk. TI allowances are 2-3x higher than standard office due to clinical buildout requirements, amplifying the early termination and amortization exposure.
Average lease complexity: High — specialized buildout requirements, hospital system affiliations, regulatory compliance, and unique expense structures
Typical lease length: 7-15 years
Average document length: 50-100 pages
The U.S. medical office building (MOB) market encompasses approximately 1.2 billion square feet with approximately $15-20 billion in annual transaction volume. MOBs have emerged as a favored asset class due to their recession-resistant demand drivers (healthcare spending represents 18% of U.S. GDP) and longer average lease terms compared to traditional office.
Medical Office leases contain provisions that require specialized extraction logic:
| Metric | Manual Abstraction | Crevanta AI |
|---|---|---|
| Time per lease | 4-8 hours per lease | 5-15 minutes per lease |
| Accuracy | 85-93% | 93-97% |
| Amendment handling | Manual cross-reference | Automated merge |
| Portfolio analytics | Separate effort | Built-in |
AI abstraction handles the specialized vocabulary and provision types unique to medical office leases: parsing clinical buildout specifications, extracting specialized HVAC and waste handling obligations, and mapping hospital system affiliation dependencies across the tenant roster.
Specialized TI requirements driving higher-than-standard allowances ($60-100+ PSF), complex operating expense structures reflecting medical-specific costs (waste handling, specialized HVAC, enhanced janitorial), hospital system anchor dependencies similar to retail co-tenancy, and regulatory compliance provisions unique to healthcare facilities
Crevanta's AI is trained on thousands of medical office lease documents, understanding the specific vocabulary, clause structures, and financial formulas unique to this property type.
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