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A Baker McKenzie insight published the same day described how AI-generated claim letters often impress at first with their structure and language, sometimes mimicking professional legal correspondence. These letters can be produced rapidly using consumer tools yet typically reveal flaws such as contradictory legal citations drawn from multiple countries or mathematical inconsistencies upon detailed scrutiny. The increased workload for human resources and legal teams stems from the need for thorough examination to separate any legitimate grievances from baseless assertions. Only through such review can employers determine the appropriate course of action without risking oversight of valid demands.
According to the analysis, refusing to engage with these letters is generally inadvisable if the employee’s intent and claim type can be discerned from the text. An exception exists only when a preliminary check shows that no specific claim or legal position emerges at all. In those limited cases employers may decline further processing after the initial assessment. This balanced approach helps avoid unnecessary disputes while managing the administrative burden these communications create.
The publication explained that termination remains an option when AI-generated letters clearly pursue unjustified claims in a manner that amounts to harassment of the employer. Such actions do not qualify for protection against dismissal on the basis of an improper motive under Austrian labor regulations. Repeated filings that impose substantial costs through required legal reviews can amount to a breach of the employee’s duty of loyalty. In extreme scenarios this could support not only dismissal but also claims for reimbursement of associated expenses.
Employees submitting multiple unfounded AI-assisted claim letters may face warnings or other disciplinary steps if their conduct undermines trust in the employment relationship. The law firm noted that deliberate flooding of the employer with such documents for retaliatory purposes could open the door to civil actions seeking injunctions or damages. Those damages would likely focus on the incremental costs of legal consultations and internal time spent on the reviews. This potential liability serves as a deterrent against abusive use of AI in workplace disputes.
Even imperfect AI-generated letters can successfully pause limitation periods for bringing claims provided the core demand is understandable to the recipient. The Baker McKenzie guidance stressed that specificity regarding the legal foundation is key for this effect to apply. Documents too vague to convey either the claim or its basis fail to interrupt those deadlines. Employers must therefore parse each submission individually rather than applying blanket policies.
Responses that carry particular risk include immediately accepting the claims, rushing into settlement proposals or issuing terminations based on a single letter that might contain a valid element. The analysis cautioned against allowing line managers to reply independently without input from human resources or legal experts. This is especially critical when the letters touch on sensitive topics like alleged discrimination or workplace harassment. Proper internal coordination helps safeguard the employer’s position in any subsequent proceedings.
Similar difficulties have surfaced beyond Austria, with a 2026 StepStone study revealing that 61 percent of job applicants in the DACH region already employ AI when preparing written materials. In Australia the Fair Work Commission has identified patterns of AI-generated unfair dismissal applications that incorporate fabricated legal references, according to reports on cases such as Riley versus Nuvei. A February 2026 overview from Crowell and Moring on the EU AI Act highlighted how many human resources applications fall into the high-risk category necessitating oversight, although the framework targets organizational rather than personal use of the technology. Observers anticipate that regulators and courts will continue refining their approaches to AI involvement in employment matters throughout the European Union.
