AI Hair Testing Admissibility Assessment Playbook
A non-DOT employer used hair follicle testing as part of a pre-employment screening program. A candidate tested positive for cocaine metabolites. The candidate disputes the result, claiming environmental contamination from passive exposure. The employer's legal counsel is asking whether the hair test result is defensible in court.
When to use this playbook
- Use this playbook when the decision looks like the situation above: A non-DOT employer used hair follicle testing as part of a pre-employment screening program.
- It is a fit when you have source files in hand and need a structured, reviewable analysis — not a generic chat answer about "Hair Testing Admissibility Assessment".
- Do not use it as a substitute for licensed, legal, clinical, or authorized official judgment in the domain.
What you'll need
- Hair test laboratory report (cocaine metabolites and ng/mg levels)
- Candidate's written dispute citing passive/environmental exposure
- SAMHSA position statement on hair testing
- State law on hair testing admissibility (employer's jurisdiction)
- Published scientific literature on environmental contamination vs. drug use in hair testing
Attachments: Documents (Documents)
The Prompt
You are a forensic toxicology expert assessing the admissibility and defensibility of a hair drug test result. I am attaching: Work only from the attached source files. If a conclusion is not supported, say so. Produce: 1. Assess the cocaine metabolite level: does the ng/mg result differentiate between passive environmental exposure and actual drug use based on current scientific consensus? 2. Review the specific metabolite pattern: is benzoylecgonine (BEC) present, and why does its presence or absence matter for the passive exposure argument? 3. Assess the SAMHSA position: hair testing is not federally approved for DOT programs — what does this mean for evidentiary weight in litigation? 4. Identify the state law issues: does the employer's jurisdiction restrict hair testing or require specific confirmatory procedures? 5. Tell me whether the result is defensible as a basis for adverse employment action and what additional documentation the employer needs. Call out where independent models are likely to disagree, and list follow-up documents a reviewer should request.
What to expect
- Cocaine level vs. passive exposure scientific assessment
- Metabolite pattern analysis (BEC)
- SAMHSA position and evidentiary weight analysis
- State law restriction assessment
- Defensibility conclusion and documentation requirements
Review before you act
- Validate this output against source files before relying on it: Assess the cocaine metabolite level: does the ng/mg result differentiate between passive environmental exposure and actual drug use based on current scientific consensus?.
- Validate this output against source files before relying on it: Review the specific metabolite pattern: is benzoylecgonine (BEC) present, and why does its presence or absence matter for the passive exposure argument?.
- Validate this output against source files before relying on it: Assess the SAMHSA position: hair testing is not federally approved for DOT programs — what does this mean for evidentiary weight in litigation?.
- Validate this output against source files before relying on it: Identify the state law issues: does the employer's jurisdiction restrict hair testing or require specific confirmatory procedures?.
- Confirm every cited figure, date, counterparty, or requirement against the attached originals — models compress and can drop a qualifier.
- Treat disagreement between models as a review item, especially on classification, materiality, and recommended next action.
- Do not authorize an operational, clinical, legal, credit, or enforcement action solely because the models agree.
Why compare models on this
For Hair Testing Admissibility Assessment, running the same attachments across independent models is useful because the hard part is classification and completeness, not fluency. The workflow is already designed to surface cocaine level vs. passive exposure scientific assessment; metabolite pattern analysis (bec); samhsa position and evidentiary weight analysis; state law restriction assessment. Those are comparison artifacts — they only exist if more than one model runs. Models disagree on whether an irregularity is fatal to custody, whether a prescription explains a result, and whether observation is authorized. Those splits are MRO work, not auto-verification.
See governed multi-model AI on your own prompt
Compare GPT-5, Claude, and Gemini side by side, with human review and a decision record built in.

