The Complete Compliance Guide for NYC Local Law 144: 2026 Edition

As of 2026, NYC Local Law 144 has reshaped the landscape of AI hiring regulations, demanding rigorous compliance from organizations leveraging AI in their recruitment processes. A recent survey revealed that 87% of HR leaders are still unclear about the specific requirements of this law, exposing a critical gap that could lead to non-compliance penalties. This guide aims to demystify Local Law 144, providing actionable insights that HR leaders can implement to ensure compliance while enhancing candidate experience.

Understanding NYC Local Law 144: Key Requirements

Local Law 144 mandates that employers using automated employment decision tools must conduct a bias audit and disclose the criteria used in these systems. Specifically, companies must:

• Conduct Audits: Employers must ensure that any AI tools used do not result in biased outcomes against protected classes. This includes conducting annual audits and maintaining documentation.
• Transparency: Employers are required to inform candidates when AI is utilized in the hiring process and provide details about the data used for decision-making.
• Data Retention: Organizations must retain records of audit results and usage of AI hiring tools for at least four years.

Audit Preparation Checklist for Compliance

To navigate compliance successfully, organizations should follow this checklist:

1. Identify AI Tools: Catalog all AI hiring tools currently in use.
2. Conduct Bias Audits: Schedule audits for each tool, ensuring they are conducted by a third-party entity.
3. Documentation: Prepare documentation detailing bias audit results and the criteria used by AI systems.
4. Training: Train HR staff on compliance requirements and the implications of Local Law 144.
5. Candidate Notifications: Develop a process for notifying candidates about AI tools used in their hiring process.

Key Compliance Documentation Requirements

Documentation plays a pivotal role in demonstrating compliance. Specific requirements include:

• Bias Audit Reports: Must include methodologies used, results, and any corrective actions taken.
• Candidate Communication Records: Documentation of communications sent to candidates regarding AI usage.
• Retention Policies: Clear policies detailing how long records will be kept and how they will be securely stored.

Red Flags to Watch for in Compliance

Organizations should remain vigilant for potential compliance pitfalls, including:

• Inadequate Audit Practices: Failing to conduct thorough audits or using non-reputable third-party auditors.
• Lack of Transparency: Not adequately informing candidates about the use of AI tools.
• Poor Record-Keeping: Inability to provide documentation on past audits or communications with candidates.

Integration Requirements for Compliance

To effectively comply with Local Law 144, organizations should consider the following integration requirements:

• ATS Compatibility: Ensure that the Applicant Tracking System (ATS) used can integrate with AI hiring tools and support compliance documentation.
• HRIS Alignment: The Human Resource Information System (HRIS) should be able to track and store candidate communications and audit reports.
• Data Security: Implement robust data security measures to protect sensitive candidate information.

Conclusion: Actionable Takeaways for Compliance

1. Conduct Regular Audits: Schedule annual audits with third-party experts to assess bias in AI hiring tools.
2. Create Clear Communication Plans: Develop templates to inform candidates about AI usage in the hiring process.
3. Establish Strong Record-Keeping Practices: Implement systems to ensure all compliance-related documents are easily accessible and securely stored.
4. Train Your Team: Provide ongoing training to HR personnel about Local Law 144 and its implications.
5. Utilize NTRVSTA for Compliance: Consider integrating NTRVSTA’s real-time phone screening and multilingual support to enhance compliance and candidate experience.