this post was submitted on 05 Mar 2024
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Asklemmy
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Lawyers who has tried to use AI so far had lost their cases miserably.
That's because we only hear about AI being used by lawyers when they use it wrong and it hallucinates a case that doesn't exist, and then they don't actually verify the case themselves.
I'm sure lawyers are already using it successfully, we just don't hear about successful cases.
And right now they're using general purpose LLM models, I'm sure we'll get models actually focused on legal knowledge in the future that will do much better than the current ones.
First off, it's not AI, it's llm, basically a better way to collate and search data. It's a tool that they should be using for research but they better not be using chatgpt or any of the other publicly available ones. I would hope that by now someone has launched or is working on one that was trained with data from law books, existing case law, etc and then you could also feed it any discovery documents that come in and it can help highlight what is important.
[citation needed]
Though I'm sure your LLM could hallucinate some for you!
Do I need to define collate? Maybe it wasn't the best choice of verbiage but the point still stands. The quality of the output is always relative to the input. That's why a growing number of companies are training their own llms with data from their own databases instead of trying to rely on external datasets.
For the record, I'm not talking about ones that you can ask a question and get an answer. I was talking about law firms using a local or privately hosted llm to scan through discovery documents and finding keywords or related keywords that may be relevant to the case they are working. Especially now that a lot of discovery is digital.
I can't give more detail than the following because it may not be public yet but I am aware of one company working on their own llm to let clients more easily find info that has been published on their platform and would take longer to skim through than to just use a search engine.
I love that term "hallucinate".
That's a big of a euphemism as the word "faith", and like the term "faith", it's used to mask glaring operational deficiencies. It reminds me of the time when I test drove a used car and there was a clear steering issue, which the car salesman called a "shimmy".
Because we don't actually have AI. We have people following paint by numbers, not artists.
True AI, and not the sparkling programming we have, will be more effective than any lawyer.
Oh, you mean that thing that hasn’t been proven possible yet?
Two years later he and his brother achieved the first successful test of powered flight. Their flight would last 12 seconds and cover 120ft with a top speed of 6.8mph.
The SR-71 Blackbird, flown 61 years after the first powered flight, had a top speed of 2190mph and had a range of 2,500 miles.
True AI will happen unless temporary stars are all the rage.
Yeah the wright brothers were great, but it pains me to say as a Daytonian engineer, but they were also completely full of themselves. There was good reason to believe heavier than air flight was not only possible but soon at the time. Lighter than air flight was not only already happening but had been used in conflicts, there was a hot air balloonist involved in the Paris commune.
But my doubts are of the possibility, immediacy, and practicality of an artificial device having human or greater cognition power in ways able to mimic organic brains. These questions aren’t me just being some doubter (though that is valid given the sheer resources being thrown at them and the way that we’re being asked to leave problems to them rather than seeking more immediate alternatives), but based on discussions with artificial intelligence specialists who don’t have a financial stake in the technology
Who downvoted you? I've been arguing the same thing since AI has become the buzzword of the decade. No one seems to understand what Artificial Intelligence actually is and how these current systems are anything but. They aren't even really a step in that direction because the underlying software and hardware isn't anywhere near ready to emulate a human or even lower animal brain.