Services
Built on the same failure prevention methodology (FMEA) used to engineer chipsets, cloud infrastructure, and spacecraft, adapted for litigation. Every engagement starts with a free 30-minute scope call. Fixed-fee quote before any commitment. If the free tools solve your problem, we'll tell you.
The Layers
Layer 1 · Evidence
Monthly retainer
Layer 1 of the Acquit.ai stack. End-to-end evidence management using the ExhibitCTL pipeline (MIT open source): your left-of-boom evidence infrastructure. Collection, verification, classification, and court-ready exhibit packaging.
Layer 2 · Discovery
Monthly retainer
Layer 2 of the Acquit.ai stack. FrawdBot is the source-discovery / forensic-discovery agent. Detection rules applied to Google Workspace admin logs surface insider threats, spoliation patterns, OAuth anomalies, and bulk-download or deletion spikes. Admin telemetry turned into evidentiary leads.
Layer 3 · Strategy
Monthly retainer
Layer 3: adversarial coordination, including Sentient Analysis, behavioral prediction, and FMEA risk scoring. Your Acquit Score™: continuous case intelligence using ARPN risk analysis, adversarial consensus validation, and strategic briefings that evolve as your case develops.
Specialty · Testimony
Availability retainer + per-engagement
Digital evidence methodology, chain of custody validation, and AI-assisted analysis, explained to judges and juries in plain language.
Specialty · Deployment
Project + support retainer
Deploy the integrated stack (ExhibitCTL + Acquit.ai intelligence) in your firm's infrastructure. On-premise installation, custom pipeline configuration, and team training.
Why Retainers
A one-time analysis becomes stale the moment opposing counsel files a motion. Monthly retainers mean your Acquit Score updates as new evidence surfaces, depositions happen, and the case evolves.
Fixed monthly cost, defined deliverables. Predictable pricing that doesn't balloon when discovery gets complicated. You know what you're paying before the month starts.
We learn your case deeply over time. The behavioral models get more accurate. The risk scoring gets tighter. Month two is sharper than month one. That compounds.
Who's Behind This
Founder, Self-Improving Code
Marine · Engineer · Founder · Fiduciary
Duty plus capability. The engineering discipline in Acquit.ai came from operating obligation, not theory. The ARPN framework comes from the same failure prevention discipline (FMEA, Lean Six Sigma) used to engineer Apple iCloud, Oracle's global cloud, and defense systems. The behavioral modeling comes from a decade in fraud detection. The three-layer stack (evidence pipeline, forensic discovery, adversarial coordination) is what happens when those disciplines are applied to adversarial human systems.
The disciplines of engineering applied to the art of law.
Lean Six Sigma / SPC
Purdue College of Engineering
Fraud Detection
ID Analytics (acq. LifeLock)
Hyperscale Infrastructure
Apple, Oracle, 64 data centers
AI Community
Austin AIMUG, 1,700+ members
How It Works
30 minutes. Understand your case, assess fit.
Fixed monthly cost, defined deliverables. No ambiguity.
Cancel anytime. No lock-in contracts.
Deliverables check. Adjust scope as your case evolves.
How We Work
Once you're in, every engagement starts with a scope call. Choose what fits: a fixed-scope project, a monthly retainer with defined deliverables, or hourly engagement for expert witness work. Cancel anytime. Transparent pricing, no opaque invoices.
If the free tools solve your problem, we'll tell you. Our business model only works if you trust us.
Request an InviteInvite-only. Application takes about two minutes. We read every one.
Not ready to apply? Drop your email for occasional methodology updates while you decide.
Got it. We'll send a note when there's something worth reading.
Start Free
MIT licensed. Run it on your hardware. Your evidence never leaves your control. When you need expert help, we're one call away.