Does Indeed Trigger NYC Local Law 144?

Short answer: It depends on how you use it — but many common Indeed features likely qualify as Automated Employment Decision Tools (AEDTs) under NYC Local Law 144 (LL144).

This is one of the most common questions employers hiring in New York City ask about their ATS and job board stack. The answer isn't a simple yes or no — it depends on which Indeed features you use, how heavily you rely on them, and whether those tools "substantially assist" your hiring decisions. This guide walks through the analysis.

Compliance Notice: This guide is for informational purposes only and is not legal advice. LL144 compliance involves fact-specific analysis. Consult qualified employment counsel to assess your specific use of Indeed's features.

What NYC Local Law 144 Requires

NYC Local Law 144 (effective July 5, 2023) requires employers and employment agencies that use Automated Employment Decision Tools in New York City to:

Commission an independent bias audit of the AEDT at least annually
Post the bias audit results on their public-facing website
Notify candidates and employees before using the AEDT in their evaluation
Provide a reasonable accommodation alternative for candidates who object to AEDT use

Violations can result in penalties of $500 to $1,500 per violation per day. The NYC Department of Consumer and Worker Protection (DCWP) enforces the law.

The threshold question is whether the tool you're using qualifies as an AEDT.

What Counts as an AEDT Under LL144?

LL144 defines an AEDT as a computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence that issues a simplified output (score, classification, or recommendation) that substantially assists or replaces discretionary decision-making for employment decisions.

Three elements matter:

AI/ML/statistical modeling process — not just a basic filter
Simplified output — a score, ranking, or classification
Substantially assists or replaces human decision-making

The DCWP's rules clarify that a tool "substantially assists" when its output is given significant weight in making employment decisions.

Indeed Features That Likely Trigger LL144

Indeed Match Score / Resume Ranking

Indeed's Match Score uses machine learning to score and rank candidates based on resume fit. It produces a simplified output ("Strong Match," "Likely Match," "No Match") derived from AI. If you use this to filter, prioritize, or advance candidates in NYC roles, this almost certainly qualifies as an AEDT.

Why it triggers LL144:

Derived from machine learning ✓
Produces simplified classification output ✓
Used to substantially assist candidate selection decisions ✓

Indeed Smart Sourcing / Candidate Suggestions

When Indeed proactively surfaces and recommends candidates from its resume database using algorithmic matching, and you rely on those recommendations to identify and contact candidates, this feature meets the AEDT definition.

Indeed Assessments (Scored)

If you require candidates to complete Indeed Assessments that are algorithmically scored — and those scores are used to filter or rank candidates before human review — the assessment scoring function is likely an AEDT.

Indeed Features That Likely Do NOT Trigger LL144 Alone

Basic Job Posting and Organic Applications

If you post a job on Indeed and review applications yourself without relying on Indeed's AI ranking features, the posting itself is not an AEDT. LL144 is triggered by using AI to screen or evaluate, not by the existence of a job posting.

Keyword Search of Resume Database

Using Indeed's resume database with basic keyword search — without algorithmic ranking or match scores — is less likely to qualify as an AEDT, depending on how the results are surfaced.

Manual Screening by Human Reviewers

If you disable Indeed's AI ranking and sorting features and manually review all applications in chronological order without AI assistance, LL144 is unlikely to be triggered by that process alone.

The "Substantially Assists" Analysis

The critical question is whether Indeed's AI output is given significant weight in your hiring decisions. The DCWP has provided guidance that factors include:

Whether the AI output is used to advance or eliminate candidates before human review
Whether candidates with lower AI scores are never reviewed by humans
Whether the AI output is one of a "set of criteria" where it's given disproportionate weight

Practical test: If a candidate with a "No Match" score from Indeed never gets a human review of their application, Indeed's AI is substantially assisting your decision. If humans independently review all applications regardless of the score, the analysis is different — but you should document that process.

If Indeed Triggers LL144: Your Compliance Checklist

Step 1: Commission a Bias Audit

You need an independent bias audit of Indeed's AEDT features you use. The audit must:

Analyze selection rates and impact ratios by sex and race/ethnicity
Be conducted by an independent auditor (not Indeed or your company)
Cover the time period the tool was used in NYC hiring
Be repeated at least annually

Practical challenge: Getting Indeed to provide the necessary data for a bias audit is not straightforward. Many employers work with Indeed and an independent auditor to structure the data analysis. Document every request and response.

Step 2: Post Audit Results Publicly

Within 10 business days of receiving audit results, post a summary on your company website including:

Date of the most recent bias audit
Distribution date of the AEDT
Selection rates and impact ratios for all demographic categories

Step 3: Provide Pre-Use Notice to Candidates

Before using Indeed's AEDT features to evaluate a candidate in NYC, notify them:

That an AEDT will be used in the hiring decision
The job qualifications and characteristics the tool evaluates

This notice must be provided at least 10 business days before the AEDT is used.

Step 4: Provide an Alternative Process

Candidates can request an accommodation to avoid AEDT evaluation. You must have an alternative process ready — typically a human-reviewed path where AI ranking is not applied.

The First LL144 Enforcement Action: A Cautionary Tale

The first public LL144 enforcement action (see our case analysis) illustrated the compliance gaps many employers face. Key lessons:

DCWP actively investigates and does not wait for formal complaints
"We didn't know the feature was AI" is not a defense
Employers who haven't audited commonly used tools face significant per-day penalty exposure

What Employers Using Indeed in NYC Should Do Now

Immediate actions:

Document every Indeed feature you use in NYC hiring
Determine whether those features meet the AEDT definition (consider engaging employment counsel)
If yes, commission a bias audit — this takes time to arrange, start early
Set up pre-use candidate notification process
Create a human-alternative pathway for candidates who object to AEDT use

Ongoing:

Renew your bias audit annually
Update your website posting when new audit results are available
Monitor DCWP guidance for updates to enforcement priorities

Check your NYC AI hiring compliance: Get Your Free Assessment →

Legal Disclaimer: This content is for educational purposes and is not legal advice. LL144 compliance involves fact-specific analysis based on how tools are used in specific contexts. Always consult qualified employment counsel for advice specific to your organization. EmployArmor does not provide legal services.

Last updated: April 2026

Does Indeed Trigger NYC Local Law 144? An Employer's Guide