All case studies

    Case Study · Portfolio Acquisition

    By Joe Leach, Founder & CEO

    Published April 24, 2026 · Last updated September 24, 2026

    Saber-Hightower LLC deployed forensic data reconstruction to isolate hidden portfolio lease liabilities.

    Acquiring a complex multi-asset portfolio means reconciling hundreds of leases and amendments before an LOI can credibly go out — the kind of forensic depth that normally can't be achieved inside a deal timeline. Saber-Hightower used Elysium to surface obligations a standard abstraction would have left silent, in a single afternoon.

    Impact Snapshot · Portfolio Audit Acceleration

    < 4 Hrs

    Audit time

    vs. 40–50 hrs manual

    150+

    Documents analyzed

    leases & amendments

    1 Day

    Decision speed

    to LOI out the door

    "When acquiring a large complex property, and in this instance, a portfolio, lease audit is a slow and potentially expensive process. Elysium provided a solution to quickly analyze 150+ docs and provided a succinct visualization for us to evaluate. This saved an enormous amount of time as we evaluated this transaction. Elysium provided the bandwidth to make early decisions so we could focus on the actual underwriting and other technical due diligence which led our LOI going out the door with confidence."
    — Jay FehskensPrincipal, Saber-Hightower LLC

    The value Elysium delivered

    Cross-Document Logic Reconciliation

    Resolves conflicting timelines across multi-layered amendments to establish an absolute source of truth.

    Ledger-Ready Data Structures

    Delivers fully normalized, structured data payloads mapped directly to enterprise financial models—eliminating manual translation error.

    Discrepancy Detection

    Rapidly identifies financial variances and data conflicts before they surface in due diligence.

    See how Elysium can accelerate your next acquisition.

    Book a personalized demo and we'll walk through your data, your workflow, your timeline.

    Book a Demo

    Your documents are never used to train AI models.