Are Employees Flooding the FWC with AI-Generated Claims? What Employers Need to Know
Over the past 12 months, many employers and advisers have noticed a shift in the tone, length and structure of applications lodged with the Fair Work Commission (FWC). Claims that were once brief and sometimes poorly drafted are now arriving as lengthy, structured, legally framed submissions — often citing multiple legislative provisions and case principles.
The common suspicion? Artificial intelligence.
Whether or not there is a literal “flood” of AI-generated claims, there is no doubt that AI tools have made it significantly easier for employees to prepare formal-looking Unfair Dismissal and General Protections applications — sometimes within minutes.
What’s Changing?
Employers are reporting:
- Highly polished applications drafted in legal language
- Allegations framed around “procedural fairness”, “adverse action”, and “workplace rights”
- Lengthy chronologies of events
- References to legislation that the applicant may not fully understand
- Multiple claims bundled together (bullying, discrimination, general protections, underpayment)
The barrier to entry has lowered. Previously, an employee might hesitate to lodge a claim due to lack of knowledge or confidence in drafting. Now, AI can produce a structured document that looks sophisticated — even if the underlying facts are thin.
The Risk for Employers
The danger is not whether the claim is AI-generated. The risk lies in assuming it lacks merit because it appears “too polished”.
A well-presented application can:
- Increase the perceived seriousness of the matter
- Expand the scope of allegations
- Trigger broader document production
- Increase legal costs
- Place reputational pressure on the business
Even weak claims can become expensive if mishandled.
Substance Still Matters
It’s important to remember: the FWC assesses evidence, not writing style.
An AI-generated claim cannot manufacture facts. It cannot create evidence of procedural fairness that did not occur. It cannot cure a poorly managed termination.
However, it can expose weaknesses in your processes by highlighting:
- Lack of documented warnings
- Inconsistent performance management
- Absence of investigation notes
- Failure to provide opportunity to respond
- Poorly drafted termination letters
If your processes are sound, an AI-assisted application should not change the outcome. If your processes are weak, AI may simply shine a brighter light on them.
Why This Trend Is Growing
Three factors are driving this shift:
- Accessibility – AI tools are free or low cost.
- Speed – Applications can be drafted instantly.
- Confidence – Employees feel empowered to “test” their rights.
There is also an increase in online communities sharing templates and prompts specifically designed to generate FWC-ready documents.
The Strategic Response for Employers
Rather than focusing on whether claims are AI-generated, businesses should focus on risk mitigation:
- Conduct termination audits
- Train managers in lawful performance management
- Ensure procedural fairness is genuinely applied
- Maintain thorough file notes
- Seek advice before termination decisions
The real protection against an AI-generated claim is not better rebuttal writing — it is better process management.
A New Normal
AI is not going away. It is now part of the employment law landscape.
We can expect:
- More detailed initial applications
- More employees self-representing with confidence
- Increased use of legal terminology
- Greater volume of claims lodged
For employers, this means one thing: assume every termination decision could be scrutinised in a formal setting — because it likely will be.
The key question is no longer “Can the employee draft a claim?”
It is: “Would our process withstand one?”