Greenhouse ATS AI compliance requirements
Greenhouse ATS includes AI-powered features — Harvest AI for bias-reduced job descriptions, AI Scoring for candidate response evaluation, and bias correction tools for evaluator feedback — that may constitute Automated Employment Decision Tools (AEDTs) under NYC Local Law 144 when used for roles in New York. Employers using Greenhouse's AI Scoring feature for candidate ranking or advancement decisions must: determine AEDT applicability, arrange an annual independent bias audit, publish the audit summary publicly, and deliver legally required notices to candidates at least 10 business days before AEDT use. EEOC disparate impact analysis obligations also apply. Beyond NYC, Illinois AIVIA (January 2026) and Colorado SB 24-205 (February 2026) add consent, disclosure, and algorithmic impact assessment requirements. EmployArmor integrates with Greenhouse to automate AEDT discovery, bias audit coordination, notice injection, and multi-jurisdiction compliance record-keeping.
Last updated: March 2026
Greenhouse ATS AI Compliance: Manual vs. EmployArmor
| Compliance Action | Manual Process | EmployArmor |
|---|---|---|
| AEDT identification (Harvest AI, AI Scoring, bias correction) | Unclear which features trigger obligations | Automated functional AEDT mapping per jurisdiction |
| Annual bias audit coordination | DIY with limited Greenhouse technical docs | Coordinated with qualified independent third-party auditors |
| Candidate notice (LL144 10-day window) | Greenhouse default emails, not LL144-compliant | Injected into Greenhouse workflow at required interval |
| EEOC disparate impact analysis | Rarely conducted for ATS AI features | Structured data extraction and impact tracking |
| Multi-state IL/CO/CA/WA compliance | Separate research and manual ATS configuration | Auto-updated jurisdiction templates and triggers |
How EmployArmor Handles Greenhouse ATS AI Compliance
- 1
Catalog Greenhouse AI Features as AEDTs
EmployArmor connects to your Greenhouse instance and maps each active AI feature — AI Scoring, Harvest AI, bias correction tools — against AEDT definitions in NYC, Illinois, Colorado, and other applicable jurisdictions to determine which features trigger compliance obligations.
- 2
Coordinate Independent Bias Audits
EmployArmor requests available technical documentation from Greenhouse on behalf of the employer, connects you with a qualified independent third-party auditor, manages the audit timeline, and ensures the completed audit summary is published to a public URL as required by LL144.
- 3
Inject Candidate Notices into Greenhouse Workflow
EmployArmor integrates with Greenhouse's candidate communication triggers to automatically inject the correct jurisdiction-specific notice — LL144's 10-business-day pre-use notice, Illinois AIVIA consent, or Colorado SB 24-205 disclosure — into the candidate journey at the legally required point.
- 4
Extract EEOC Disparate Impact Data
EmployArmor extracts disaggregated selection data from Greenhouse — including AI Scoring outputs and stage progression rates by demographic — to support the employer's disparate impact analysis and EEOC documentation requirements.
- 5
Monitor Regulatory and Greenhouse Feature Changes
As new state laws take effect and Greenhouse releases new AI features, EmployArmor updates its AEDT mapping and compliance workflows — alerting your team to new obligations automatically.
By the Numbers
$500–$1,500
Per day, per NYC LL144 violation. Each day Greenhouse AI Scoring is used as an AEDT for NYC-based candidates without a compliant notice and published bias audit summary constitutes a separate violation — penalties accrue from day one.
Jan 1, 2026
Illinois AIVIA took effect. If Greenhouse is used with AI-analyzed video interviews or AI-driven candidate profile evaluation for Illinois candidates, explicit consent before analysis and description of evaluated characteristics are required — with a private right of action for violations.
Feb 1, 2026
Colorado SB 24-205 took effect, requiring algorithmic impact assessments for AI systems used in employment decisions. Greenhouse AI Scoring used for Colorado-based roles may trigger assessment and disclosure obligations under this law.
Annual
LL144 bias audit frequency: Greenhouse AI Scoring must be independently audited annually by a qualified third party, with the audit summary published publicly and maintained for at least six months after the next audit is completed.
Frequently Asked Questions
Do Greenhouse ATS AI features constitute AEDTs under NYC Local Law 144?
Possibly. Greenhouse's AI Scoring — which uses machine learning to rate and rank candidate responses — is a primary AEDT candidate under LL144's functional definition, as it directly influences candidate advancement. Harvest AI and bias correction tools may also qualify depending on how they are used. Employers should treat active AI features as AEDT candidates and begin the compliance process accordingly.
What bias audit obligations apply to Greenhouse AI Scoring users?
An annual independent bias audit by a qualified third party is required — not an internal Greenhouse tool. Employers using AI Scoring for NYC-based roles should request available technical documentation from Greenhouse, commission an independent audit, publish the summary publicly, and maintain records. EmployArmor coordinates this process with qualified auditors.
What candidate notice requirements apply to Greenhouse ATS users?
Under NYC LL144, written notice at least 10 business days before AEDT use, describing job qualifications assessed. Greenhouse's standard candidate emails do not currently satisfy this requirement. Employers must supplement Greenhouse's workflow with compliant notices — EmployArmor's integration injects these automatically at the legally required interval.
How does EEOC guidance apply to Greenhouse AI Scoring?
The EEOC requires employers using Greenhouse AI Scoring to evaluate whether it produces disparate impact on protected groups under Title VII. The algorithm's training data may embed historical evaluator biases. Employers should extract disaggregated selection data from Greenhouse, evaluate adverse impact by demographic group, and document their analysis.
What state AI hiring laws apply to Greenhouse users beyond NYC?
Illinois AIVIA (January 2026) requires consent before AI video or profile analysis. Colorado SB 24-205 (February 2026) requires algorithmic impact assessments. Pending California AB 2930 and Washington HB 1951 would add further obligations. Multi-state employers using Greenhouse AI features need jurisdiction-specific compliance workflows for each applicable law.
How can Greenhouse users automate AI compliance across multiple jurisdictions?
EmployArmor integrates with Greenhouse to identify which AI features are AEDTs, coordinate independent bias audits, inject jurisdiction-specific notices into Greenhouse's candidate workflow at legally required intervals, and maintain EEOC disparate impact documentation — reducing manual compliance work as Greenhouse adds AI features and new laws take effect.
EmployArmor automates Greenhouse AI compliance — run a free compliance scan.
References
- NYC Administrative Code § 20-871–20-875 (Local Law 144 of 2021). NYC Dept. of Consumer and Worker Protection
- Illinois Artificial Intelligence Video Interview Act (820 ILCS 42). Illinois General Assembly
- Colorado SB 24-205, "Consumer Protections for Artificial Intelligence" (2024). Colorado General Assembly
- EEOC Technical Assistance, "The ADA and AI to Assess Job Applicants" (May 2022). U.S. Equal Employment Opportunity Commission