AI Labor Dispute Mock Trial

Problem

Labor disputes often stall before filing: employees may not know how to draft an arbitration application, employers may miss weak points in their defense, and both sides may underestimate how evidence will be challenged on authenticity, legality, relevance, and probative value. This skill focuses on mainland China labor procedure and turns arbitration, first-instance trial, and appeal into a repeatable simulation, helping users validate facts, legal bases, and documents before real submissions.

How It Works

• Guided intake: it asks for role, case basics, dispute type, procedure stage, and claims in separate steps, waiting for confirmation instead of overloading the user.
• Document generation: it can produce a Labor Arbitration Application, Civil Complaint, Statement of Defense, Evidence List, and Evidence Finding List as Markdown files saved under /workspace/.
• Evidence cross-examination: it simulates employee proof, employer challenge, employer proof, and employee challenge around authenticity, legality, relevance, and probative value.
• Calculations and evaluation: it shows the math behind N, N+1, 2N, overtime pay, unused annual leave, win-rate estimates, and mock rulings such as arbitration_award_date.md or first_instance_judgment_date.md.
• HTML summary: after the simulation, it generates a report with case facts, workflow records, generated documents, evidence highlights, mock outcome, and follow-up guidance.

Boundaries

This skill covers the mainland China labor-law system only. All outcomes are simulated and do not constitute formal legal advice. For complex cases, regional rules, or statute of limitations issues, consult a licensed local labor lawyer. Avoid entering sensitive personal data such as real ID numbers or bank card numbers.