The FETCH classifier utilizes a combination of low-cost LLMs and a high-cost model, GPT-5, to enhance the generation of follow-up questions for legal triage, improving classification accuracy. The study highlights the limitations of prompt engineering and the need for specialized models in legal contexts, particularly in sensitive areas like domestic violence.