About
Three integrated layers. One coordinated system. Built on the same rigor that runs production systems that can't fail.
The Background
Marine. Engineer. Founder. Fiduciary.
Duty + Capability.
The Marines taught me what duty under pressure looks like. 25 years engineering production systems that can't fail taught me how to build them. Hyperscale cloud at Apple iCloud and Oracle. Fraud detection at scale. AI woven through supply chain and operations. Two successful exits. The through-line is the same engineering discipline: failure prevention, defense-in-depth, FMEA, Lean Six Sigma. The methods that keep aerospace systems flying and global cloud platforms running.
The fiduciary frame is what made Acquit.ai necessary. As founder, the obligation isn't to engineer for normal operation. It's to engineer for adversarial pressure. The methodology came first because the duty required it. The product followed.
The Insight
Legal tech has built a roughly $20B discovery-automation market. It stopped there. The next layer up, adversarial strategy automation, is effectively zero-revenue. The tools to build it already exist, scattered across other industries: the failure-prevention discipline (FMEA, Lean Six Sigma) that runs hyperscale cloud and aerospace. The behavioral modeling from a decade in fraud detection. The classification engines from agent-based systems.
Nobody had integrated them for adversarial human systems. Acquit.ai is that integration. Three layers, one coordinated stack, built on the same engineering rigor that runs production systems that can't fail.
The Mission
The disciplines of engineering applied to the art of law.
American civil justice has a structural gap. More than 9 million cases per year fall in the $20K to $500K range. An estimated 20,000 to 100,000+ of them are valid plaintiff cases that die every year for lack of capital, because nobody has built the underwriting infrastructure to fund them economically. Institutional funders need $10K to $50K of diligence per case, which prices out anything under $500K. They reject 90 to 95 percent and still can't make the unit economics work. That leaves $1B to $5B per year of unserved capital. Acquit.ai drops underwriting cost to $500 to $2K per evaluation. The structural barrier collapses.
Acquit.ai is built for the activist firms, mission-aligned funders, and people doing the work the dead zone leaves behind. The first cohort is small and curated. The mission is to close the gap.
The Portfolio
Five products. One mission. Acquit.ai is the case-intelligence layer; the rest of the portfolio supports and extends it.
| Product | Role |
|---|---|
| Acquit.ai The Sword | Case intelligence |
| lawfare.ai The Hammer | Sister product |
| FrawdBot The Shield | Source discovery |
| ExoArmor The Vault | Protected work product |
| ExhibitCTL The Foundation | Open-source backbone |
lawfare.ai is the sister product. Acquit.ai underwrites cases with intelligence; lawfare.ai capitalizes the activist firms that take them. Both are in development; see Insights for the underlying research.
Why It Compounds
More cases processed → more outcome data → underwriting accuracy improves → more cases viable.
Cases won → published case law → dead zone shrinks → more cases newly viable.
Activist firms that use the stack become aligned partners. Each participant strengthens the others.
That's why we're building Acquit.ai.
25
years building
2
successful exits
91%
Acquit Score™ calibration
$475K
traditional eDiscovery cost
Acquit.ai is invite-only while we get the foundation right. Tell us what fight you're in and we'll be in touch.