//The offer
AI Investigation Audit
An independent review of how your firm uses AI in investigations, checking whether the workflow will actually hold up in court, before it gets challenged. Fixed fee. Signed report.
An AI Investigation Audit is an independent review of how your firm uses AI in investigations, testing whether the workflow will hold up in court.
I am a licensed investigator who builds production AI. I validate your methodology, logging, human-verification gates, disclosure language, and admissibility posture, and deliver a signed audit report you can attach to your work product. It is the validation no case using AI should be without. See the Evidence-Grade AI standard this audit is built on.
//Who it is for
What is it, and who needs it?
Law firms, private investigation firms, and insurance SIUs already using AI in casework, before that AI use is challenged. If you are running AI on matters that could reach a courtroom, a deposition, or a regulator, you need to know the workflow survives scrutiny. Auditing before a challenge costs a fraction of scrambling after one.
//The scope
What does the audit cover?
Five things, the same five a court would probe: whether the methodology is sound, whether every result is logged and traceable to a source, whether a human verifies before anything ships, whether AI use is disclosed, and what your admissibility posture actually is. Each gets documented, and each gap gets a fix.
Methodology validation
Is the workflow sound, repeatable, and explainable? A method you cannot describe on the stand is a method you cannot defend.
Audit-trail and logging review
Can you show how every result was produced, and trace each claim back to a source? Logging is the difference between a finding and an assertion.
Human-verification gates
Who reviews AI output before it leaves the building, and is that gate enforced or aspirational? The investigator is the witness, never the machine.
Disclosure and admissibility posture
Is AI use disclosed up front, and does the workflow line up with where the rules of evidence are heading? Plus a remediation matrix ranking every gap by risk.
//What you receive
A signed report and a plan you can act on.
You receive a signed audit report and a remediation plan. Because AI models and the rules keep changing, audits are done on an annual basis, with an optional Evidence-Grade retainer for continuous validation between them. The deliverable is a defensible record that your AI use was independently validated, not a slide deck.
//Why me
Why is this the right person to sign it?
Because validating AI in investigations takes four things at once, and almost nobody has all four. A licensed Florida private investigator (A-1400197). A certified digital forensics examiner (CDFE, FBCI). A builder of production AI used on real cases. And experience with the expert-testimony standard the rules apply. I am the rare provider who is all of them.
//Questions people ask
The audit, answered straight.
What is an AI investigation audit?
An AI Investigation Audit is an independent review of how your firm uses AI in investigations, testing whether the workflow will hold up in court. It examines methodology, logging, human-verification gates, disclosure language, and admissibility posture, then delivers a signed report you can attach to your work product. It is the validation no case using AI should be without.
Who needs one?
Law firms, private investigation firms, and insurance SIUs that already use AI in casework, ideally before that AI use is challenged. If you are running AI on matters that could reach a courtroom, a deposition, or a regulator, you need to know the workflow survives scrutiny. Auditing after a challenge is far more expensive than auditing before one.
What do I receive?
A signed audit report and a remediation plan. The report documents your methodology validation, audit-trail and logging review, human-verification gates, and disclosure and admissibility posture. The remediation matrix ranks each gap by risk and gives you a concrete fix. You get a defensible record that your AI use was independently validated.
How much does it cost?
The audit is a fixed fee, with an introductory range of 4,500 to 7,500 dollars depending on the number of workflows and their complexity. Enterprise and multi-workflow engagements are scoped higher. You know the price before we start, and there is an optional retainer for continuous validation.
How often should we re-audit?
On an annual basis at minimum. AI models change, the tools change, and the rules of evidence are moving fast, so a validation done today does not hold indefinitely. Firms running AI on high-stakes matters add an Evidence-Grade retainer for continuous validation between annual audits, so the workflow never drifts out of defensibility.
Validate your AI before a court does it for you.
Request an audit or add the Evidence-Grade retainer for continuous validation. Email matt@e3intel.io.