But you'd have to do this anyway if you did all the research yourself. At least the AI assistant can help give you some good leads so you don't have to start from scratch.
No, that's exactly the opposite of what I'm saying. If you did the research yourself, you wouldn't need to verify every cite once you find a relevant source/cite, because previous lawyers would have already validated the citations contained within that source. (A good lawyer should validate at least some of those cites, but frequently that's not necessary unless you're dealing with big stakes.)
And the AI assistant, at least this one and the ones based on ChatGPT, don't provide good leads. They provide crap leads that not only don't exist, but increase the amount of work. And any "AI" based on LLM will never be capable of providing good cites, because they'll never understand what they're reading and/or citing, and they'll miss relevant citations that are not statistically likely (i.e., new case law, or cases with similar facts, or similar law, or otherwise similar contexts that can be applied to the case at hand) that a context-aware AI or living breathing human would find easily.
At best, LLM-based AI might be able to help people with very simple legal situations. But you don't need AI for that. A single decision tree is easier to implement, and it's even easier to verify the domain-specific process and outcomes to make sure you don't get something silly like happened with this "AI".
No, that's exactly the opposite of what I'm saying. If you did the research yourself, you wouldn't need to verify every cite once you find a relevant source/cite, because previous lawyers would have already validated the citations contained within that source. (A good lawyer should validate at least some of those cites, but frequently that's not necessary unless you're dealing with big stakes.)
And the AI assistant, at least this one and the ones based on ChatGPT, don't provide good leads. They provide crap leads that not only don't exist, but increase the amount of work. And any "AI" based on LLM will never be capable of providing good cites, because they'll never understand what they're reading and/or citing, and they'll miss relevant citations that are not statistically likely (i.e., new case law, or cases with similar facts, or similar law, or otherwise similar contexts that can be applied to the case at hand) that a context-aware AI or living breathing human would find easily.
At best, LLM-based AI might be able to help people with very simple legal situations. But you don't need AI for that. A single decision tree is easier to implement, and it's even easier to verify the domain-specific process and outcomes to make sure you don't get something silly like happened with this "AI".