We begin by anchoring the engagement to the actual legal questions at issue, not generalized business metrics.
Outcome: Analysis that is legally relevant, not merely analytically impressive.
Data credibility is foundational to defensibility.
Outcome: Data that can be explained, replicated, and defended.
Our models are designed to answer legal questions, not academic hypotheticals.
Outcome: Conclusions that survive cross-examination, not just peer review.
Before anything is delivered, we challenge our own work the way opposing experts will.
Outcome: Fewer surprises under oath.
Great analysis fails if it cannot be understood by judges, juries, and counsel.
Outcome: Findings that persuade, not confuse.
When our work supports expert testimony, it is built accordingly.
Outcome: A seamless analytical foundation for expert opinions.
Legal-First Design
Our methodology is built for law firms and in-house counsel: not retrofitted from consulting or accounting playbooks.
Courtroom Accountability
Every analytical choice is made with the expectation it may be challenged.
Repeatability & Transparency
If an analysis cannot be replicated, it is not defensible.
Strategic Restraint
We avoid unnecessary complexity that creates exposure without evidentiary value.
Our Forensic Decisioneering methodology is purpose-built for:
May & Company Forensic Decisioneering, LLC
Ann Arbor, MI Washington, DC
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