A Generative AI Engineer is reviewing outputs from an LLM-based legal assistant. While the assistant performs well on document summaries, it occasionally misrepresents clause intent or misses implicit legal language. The engineer wants to implement a method to proactively detect such issues before deployment. Which approach is MOST appropriate for identifying and addressing these quality issues?