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Healthcare Real Estate

Healthpeak Properties

Lease WorkflowLegal Document AutomationTenant ImprovementTransaction Intelligence

The Challenge

Healthpeak Properties manages over $20 billion in healthcare real estate, with roughly 80% of revenue tied to leasing. Despite the scale, their lease approval and tenant improvement processes ran almost entirely on emails, spreadsheets, and phone calls. Tasks were missed, approvals stalled, and leadership had no reliable visibility into where deals stood at any given moment. Legal review was disconnected from the deal process, and tenant improvement requests had no structured tracking at all.

What We Built

Laminar designed and developed LeaseIQ — a comprehensive transaction management platform covering three interconnected workflow systems:

Lease Approval Workflow — Automated the full lease approval process from initial deal entry through financial analysis and final execution. Approval tiers configured based on deal size and complexity, with Documentum integration for electronic signatures.

Legal Document Workflow — A parallel approval process for all legal documents associated with each transaction. Lease agreements, amendments, and supporting documents routed through structured review and approval chains — tracked and connected to the deal record.

Tenant Improvement Workflow — Structured approval and tracking for tenant space modifications and build-outs. Financial analysis, vendor management, and approval authority all managed within the platform.

The Outcome

Healthpeak gained real-time visibility into every active transaction across the portfolio. Bottlenecks became visible and manageable. Deal teams could analyze, forecast, and approve lease parameters at every stage. LeaseIQ continues to expand into new areas of the business.

The Intelligence Opportunity

Where AI Takes This Further

LeaseIQ is a natural foundation for AI augmentation across all three workflows — automated risk scoring on deal terms, AI-assisted clause deviation detection, contract risk scoring, negotiation pattern analysis, cost estimation modeling for tenant improvements, and budget variance prediction.