Complex writing tasks increasingly rely on artificial intelligence to support in domains requiring regulatory compliance and clarity. In academic recruitment, the wording of job advertisements is critical for ensuring transparency, fairness, and equal opportunity. TUMApply currently requires professors to manually write job advertisements, often resulting in inconsistent quality, missing details, and gender-coded or non-compliant language. This thesis integrates an AI assistant into the workflow to automate draft generation, flag biased or legally problematic phrasing, and suggest improvements, reducing effort while enhancing clarity, inclusiveness, and compliance.