NYC Local Law 144: Complete Guide for Employers
Everything employers need to know about NYC Local Law 144 compliance — requirements, deadlines, audit process, penalties, and step-by-step preparation guide.
What is NYC Local Law 144?
NYC Local Law 144 (LL144) is a landmark regulation requiring employers using automated employment decision tools (AEDTs) to conduct annual independent bias audits and publish the results.
Who Must Comply?
Any employer or employment agency that:
- Uses an AEDT in hiring or promotion decisions
- Has employees or candidates in New York City
- The tool substantially assists or replaces discretionary decision-making
Key Requirements
1. Independent Bias Audit
Conduct an annual independent bias audit by an impartial third-party auditor. The auditor cannot be affiliated with the employer or the AI tool vendor.
2. Summary Publication
Make a summary of the audit results publicly available on the employer's website or career page.
3. Candidate Notification
Notify candidates and employees at least 10 business days before using an AEDT. Notification must include:
- That an AEDT will be used
- The job categories the AEDT will be used for
- The qualifications and characteristics the AEDT will use
- Information about the independent bias audit
4. Alternative Selection Process
Provide an alternative selection process or accommodation for candidates who request it.
Penalties
- First violation: Up to $500
- Subsequent violations: Up to $1,500 each
- Each day of non-compliance constitutes a separate violation
How to Prepare
- Inventory all AI-based hiring tools in use
- Identify which tools qualify as AEDTs under the law
- Select an independent auditor from our directory
- Schedule the bias audit at least 30 days before deployment
- Prepare candidate notification procedures
- Plan for public disclosure of audit results
- Use our LL144 compliance checklist to track progress
What Counts as an AEDT?
A tool qualifies as an AEDT if it:
- Uses machine learning, AI, or other computational techniques
- Generates a prediction, classification, recommendation, or score
- Is used to substantially assist or replace discretionary decision-making in hiring or promotion