Real Estate: Due Diligence in Days Instead of Weeks

A real estate fund with 50 employees reviews around 120 potential properties each year — office buildings, logistics facilities, residential portfolios. For every serious review (due diligence), data rooms are provided containing 500–2,000 documents: lease agreements, land registry extracts, technical surveys, building permits, insurance policies, service charge statements.

A team of 4–6 people previously needed 3–4 weeks to work through this volume and identify the critical risks. Meanwhile, a competitor was often reviewing the same property — at similar pace. Whoever decided faster got the deal.

Confidential Data, Zero Tolerance for Third Parties

Data rooms contain highly confidential information: tenant lists, lease terms, vacancy details, credit information. Passing this to external AI services was out of the question for the fund — both for confidentiality reasons towards vendors and tenants, and for competitive reasons.

AI-Powered Due Diligence with SoverIQ

SoverIQ Stack processes the data room entirely on-premises. The system:

• Indexes all documents in a secure, project-isolated environment
• Automatically extracts lease terms, durations, options, and special termination rights
• Identifies deviations from standard lease templates and flags red flags
• Cross-references land registry entries against known risk indicators
• Produces a structured due diligence briefing with a risk score per category

The acquisition team discusses only the flagged items — instead of reading every document from scratch.

Results

Average due diligence duration fell from 3.5 weeks to 8 days. The fund can now review 3× as many properties in parallel — without adding headcount. Two properties that had previously been lost to faster-deciding competitors were successfully acquired in the following season.