Australia’s Fair Work Commission, the national workplace tribunal that handles unfair dismissal claims, wage disputes, discrimination, bullying, and workplace sexual harassment, has announced a review of its processes to cope with what it described as an estimated 70% workload increase over three years. The surge is directly affecting the commission’s ability to provide timely dispute resolution, according to a statement published on Friday.
The Numbers Behind the Crisis
The commission received 44,039 lodgments between July 2025 and April 2026, with two months still remaining in the financial year. The full 2024–25 year saw a record 44,075 lodgments. The commission is on pace to exceed that record by a significant margin. This dramatic increase is not just a matter of more cases — it is a fundamental shift in the nature and complexity of filings, driven in part by the proliferation of generative AI assistance tools.
The commission attributed the increase to several interconnected factors: more people representing themselves in workplace cases, budget constraints, resourcing challenges, and the spread of generative AI tools that make it easy to produce polished-sounding but often generic content. The implication is that AI is lowering the barrier to filing a claim, enabling people who might previously have decided a case was not worth pursuing to generate a detailed submission in minutes.
How AI Changes What Gets Filed
Generative AI, such as large language models, can produce coherent and confident-sounding legal arguments, but these are often incomplete, inaccurate, or fabricated. The commission published draft guidance in March requiring anyone who uses generative AI in preparing documents for lodgment to disclose that fact. A new “Use of GenAI” section will be built into all commission forms. The guidance warned that AI-generated information may be based on legal frameworks from other countries, cite cases that do not exist, or claim damages wildly out of proportion to the harm.
The impact is twofold: first, the volume of filings increases because AI makes it easy to start a claim. Second, the complexity of each filing rises as AI-generated submissions tend to be longer and more verbose, forcing adjudicators to wade through pages of material to identify the relevant parts. This slows down resolution for all parties, including those with legitimate claims.
What the Commission Is Doing About It
The commission’s response includes trialling a new system in which senior staff help parties try to resolve disputes informally earlier in the process, before cases consume full hearing time. This early intervention aims to filter out weak or AI-inflated cases quickly. The commission has also reviewed how it manages applications and is considering deploying an AI voice agent to help triage calls to its helpline. The irony of a tribunal overwhelmed by AI-generated filings considering an AI tool to manage the influx is not lost. Australia has already backed AI in other parts of its legal system, including a government-supported chatbot that helps splitting couples divide their assets. But the logic is sound: if generative AI is increasing the volume of inbound work, automated triage may be the only way to keep pace without proportional increases in staffing that budget constraints have already ruled out.
Not Just an Australian Problem
The pattern is emerging across the Tasman as well. Radio New Zealand reported last month that tenants in New Zealand are using AI to support applications to the Tenancy Tribunal, creating extra work and backlog. In one case, a tenant used AI to file a claim for $40,000 over issues including unsafe drinking water and a broken dryer. The tribunal awarded $80. The case illustrates a recurring problem with AI-generated legal filings: the tools can produce arguments that sound authoritative but cite legal principles that do not apply in the relevant jurisdiction, claim damages wildly out of proportion to the harm, or reference legal frameworks from other countries entirely. Adjudicators then have to work through pages of material to identify which parts are relevant.
The Financial Complaints Parallel
The Australian Financial Complaints Authority (AFCA), which handles disputes in financial services, told Bloomberg it has also seen increased AI use in how consumers engage with financial firms and lodge complaints. A spokesperson acknowledged that AI can help some people articulate their concerns, but warned that AI-generated complaints “can sometimes include irrelevant, inaccurate or generic information, or may use legal arguments that don’t apply in Australian law.” AFCA said it encourages people to keep their complaints simple because lengthy AI-generated submissions slow down the resolution process by forcing staff to work through large volumes of material to identify the actual issues. The advice amounts to an admission that more words do not mean a better case, and that AI’s tendency to produce verbose, confident-sounding output is actively counterproductive in dispute resolution.
Access to Justice or Access to Noise
The tension at the heart of the issue is genuine. AI tools can democratise access to legal processes for people who cannot afford lawyers, a point governments and AI companies have promoted as a public benefit. But when the same tools generate filings that are longer, less accurate, and harder to process than what a human would produce unaided, the net effect may be to slow down the system for everyone. The Fair Work Commission is the first major tribunal to publicly frame generative AI as a contributing factor in its workload crisis, but it is unlikely to be the last. Any institution that accepts written submissions from the public is now dealing with the same dynamic: AI makes it trivially easy to generate text, and institutions built for a world of human-paced filing are not equipped to process the result.
Broader Implications for Legal Systems
The rise of AI-assisted claims is forcing tribunals, courts, and ombudsman services worldwide to rethink their processes. In the United Kingdom, the Employment Tribunal Service has seen a similar uptick in applications that appear to be drafted by AI, though it has not publicly quantified the impact. In Canada, the British Columbia Civil Resolution Tribunal, which handles small claims and strata disputes, has begun warning users that AI-generated submissions may be rejected if they are nonsensical or contain fabricated legal citations. The challenge is not limited to workplace tribunals. Consumer protection agencies, human rights commissions, and even immigration boards are encountering AI-generated forms that make it harder to identify genuine cases.
What This Means for Individuals
For individuals considering using AI to file a claim, the message from the Fair Work Commission and AFCA is clear: keep it simple, be honest, and do not rely on AI to generate legal arguments. AI can be a helpful starting point — for example, to understand the basic process or to draft a summary of facts — but it should not be used to produce entire submissions. Adjudicators are trained to spot AI-generated content, and filing a claim that contains errors or irrelevant material can backfire, potentially damaging credibility or delaying resolution. The best approach is to treat AI as a tool for organizing thoughts, not as a substitute for careful, case-specific drafting.
Future Directions
The Fair Work Commission’s draft guidance on AI disclosure is a step toward transparency, but it remains to be seen whether it will be effective. Some critics argue that mandatory disclosure will do little to reduce the volume of poor-quality filings, since many users may not be aware that the AI they used was generative. Others suggest that the commission should invest in its own AI tools to automatically flag and filter low-quality submissions, much like spam filters in email. The commission’s consideration of an AI voice agent for triage suggests it is leaning in that direction, but such tools must be carefully designed to avoid bias or mistakenly rejecting legitimate claims.
The Australian experience serves as a warning to other jurisdictions. As generative AI becomes more integrated into everyday tools — from chatbots to word processors — the ease of generating text will only increase. Institutions that accept public submissions must adapt quickly, or risk being buried by an avalanche of AI-generated noise. The Fair Work Commission’s 70% workload increase is a symptom of a broader transformation that is only just beginning.