IANAL. One thing I like to say is
There is no rule that can be written so precisely that there are no exceptions, including this one.
A joke[0], but one I think people should take seriously. Law would be easy if it weren't for all the edge cases. Most of the things in the world would be easy if it weren't for all the edge cases[1]. This can be seen just by contemplating whatever domain you feel you have achieved mastery over and have worked with for years. You likely don't actually feel you have achieved mastery because you're developed to the point where you know there is so much you don't know[2].The reason I wouldn't want an LLM judge (or any algorithmic judge) is the same reason I despise bureaucracy. Bureaucracy fucks everything up because it makes the naive assumption that you can figure everything out from a spreadsheet. It is the equivalent of trying to plan a city from the view out of an airplane window. The perspective has some utility, but it is also disconnected from reality.
I'd also say that this feature of the world is part of what created us and made us the way we are. Humans are so successful because of our adaptability. If this wasn't a useful feature we'd have become far more robotic because it would be a much easier thing for biology to optimize. So when people say bureaucracies are dehumanizing, I take it quite literally. There's utility to it, but its utility leads to its overuse and the bias is clear that it is much harder to "de"-implement something than to implement it. We should strongly consider that bias in society when making large decisions like implementing algorithmic judges. I'm sure they can be helpful in the courtroom, but to abdicate our judgements to them only results in a dehumanized justice system. There are multiple literal interpretations of that claim too.
[0] You didn't look at my name, did you?
[1] https://news.ycombinator.com/item?id=43087779
[2] Hell, I have a PhD and I forget I'm an expert in my domain because there's just so much I don't know I continue to feel pretty dumb (which is also a driving force to continue learning).