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Tech Business News > Media Releases > BrightHR Warns AI-Generated HR Policies Put Australian Employers at Serious Legal Risk
Media Releases

BrightHR Warns AI-Generated HR Policies Put Australian Employers at Serious Legal Risk

BrightHR Australia is warning that AI-generated HR policies can contain serious compliance gaps despite appearing polished and complete. The company says missing statutory requirements, procedural safeguards and award-specific obligations could expose Australian employers to Fair Work disputes

Austech Media
Last updated: September 25, 2026 3:05 pm
Austech Media
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 BrightHR Australia, the premier B2B software provider for workforce management and compliance, warns that Australian employers relying on generative Artificial Intelligence (AI) tools to create workplace policies may be exposing themselves to serious legal and compliance risks.

Contents
  • Critical gaps in absence management policies
  • AI should support HR expertise, not replace it

BrightHR warns that AI-generated Human Resources (HR) documents can appear highly polished and comprehensive while omitting critical legal protections, including Australian statutory requirements, procedural safeguards and award-specific obligations. 

The risk of trusting AI is particularly acute for small and medium-sized enterprises (SMEs) that lack an in-house HR or legal team and turn to freely available AI tools to draft policies on absence management, performance, conduct and disciplinary procedures.

“AI can produce a workplace policy in seconds, but that does not mean the policy is legally compliant in Australia, appropriate for the business, or safe to rely on.

Employment law is highly dependent on which workplace relations systems it is governed by, which state the business operates in, and any specific awards or agreements that apply to the business or its employees,” said Mollie Eckersley, Associate Director of Operations, ANZ, BrightHR Australia.

An AI-generated policy can use convincing legal language, making it easy to assume it is complete, but the real danger lies in what has been left out, such as statutory employee rights or local Fair Work context. 

“Employers may only discover there are critical omissions from a workplace policy they used AI to create when facing a grievance, disciplinary matter, or Fair Work claim,” said Mollie Eckersley.

Critical gaps in absence management policies

BrightHR’s internal analysis identified significant vulnerabilities in AI-written absence management policies, including poorly crafted employee notification and return to work procedures, inadequate recognition of statutory employee rights and limited guidance on how managers should handle individual circumstances. 

As absence management requires balancing operational requirements with legal protections, such as personal leave entitlements, protection from adverse action, anti-discrimination obligations, and overly generic policies can encourage managers to take actions that create unintended legal liability.

AI should support HR expertise, not replace it

While generative AI can assist with administrative tasks, summarising information, or organising workflows, BrightHR emphasises that workplace policies influencing employee rights, performance, leave, or termination must be reviewed against current Australian workplace relations law.

“The issue is not whether businesses should use AI, but whether they understand where AI stops being a productivity tool and starts becoming a legal risk,”

A policy that takes five minutes to generate could ultimately cost a business significantly more if it contributes to a dispute or an unlawful workplace decision,” Mollie Eckersley concluded. 

Technology should help employers reduce risk, not introduce new compliance gaps. The safest approach for SMEs is ensuring workplace policies are grounded in current Australian requirements and law, professionally reviewed and supported by practical guidance.

ByAustech Media
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Austech Media Press Release - Disclaimer: This press release was submitted by an external organisation All data, statistics, and insights provided by the submitting party.
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