Mike Lindell has a lawyer?
That’s the real news to me.
Anyway, I’m sure Mr. Lindell, noted cybersecurity expert and crack addict, will figure this out in due time.
“L, L, M and Partners” is the name of his new lawfirm.
hehheheh
How many lawyers need to screw themselves over by using LLMs to write legal briefs before the others realize that doing so just might be a bad idea?
I mean, come on, people. There is no such thing as actual artificial “intelligence.” There are programs that try to mimic intelligence like LLMs but they are not actually intelligent. These models are trained using data from all over the internet with no vetting as to accuracy. When the thing searches for legal cases to cite, it is just as likely to cite a fictional case from some story as it is to cite an actual case.
It’s just as likely to just make something up than site a case, real or fictional. It’ll use very confident language to gaslight you into thinking it’s real though, as it does with everything else.
Humans are stupid. The issue with LLMs is that they’re all just confidence men. They speak with authority so people believe them without question, even though it doesn’t actually know anything.
It’s not like it’s looking up anything either. It’s just putting words together that sound right to us. It could hallucinate a citation that never even existed as a fictional case, let alone a real one.
It could hallucinate a citation that never even existed as a fictional case
That’s what happened in this case reviewed by Legal Eagle.
The lawyer provided a brief that cited cases that the judge could not find. The judge requested paper copies of the cases and that’s when the lawyer handed over some dubious documents. The judge then called the lawyer into the court to ask why he submitted fraudulent cases and why he shouldn’t have his law licence revoked. The lawyer fessed up that he asked ChatGPT to write the brief and didn’t check the citations. When the judge asked for the cases, the lawyer went back to ask ChatGPT for them, and it generated the cases…but they were clearly not real. So much so that the defendants names would change throughout the case, the judges who ruled on the cases were from different districts, and they were all about a page long when real case rulings tend to be dozens of pages.
Absolutely this. LLM basically is trained to be good at fooling us into thinking it is intelligent, and it is very good at it.
It doesn’t demonstrate how good it is in what it is doing, it demonstrates how easy it is to fool us.
My company provides copilot for software engineering and I use it in my IDE.
The problem is that it produces code that looks accurate, but it often isn’t. I frequently tend to disable it. I think it might help in area where I don’t know what I’m doing, so it can get some working code, but it is a double edged sword, because if I don’t know what I’m doing I will not be able to catch issues.
I also noticed that what it produces when correct, I can frequently write a simpler and shorter version that fits my use case. It looks very likely like code you see students put on GitHub when they post their homework assignment, and I guess that’s what it was trained on.
LLM basically is trained to be good at fooling us into thinking it is intelligent, and it is very good at it.
That’s a fascinating concept. An LLM is really just a specific kind of machine learning. Machine learning can be amazing. It can be used to create algorithms that can detect cancer, predict protein functions, or develop new chemical structures. An LLM is just an algorithm generated using machine learning that deceives people into thinking it’s intelligent. That seem like a very accurate description to me.
And you pinpointed exactly the issue right there…
People who don’t know what they’re doing asking something that can’t reason to do something that neither of them understand. It’s like the dumbest realization of the singularity we could possibly achieve.
It’s one thing to use it as a fancy spell check, it’s another to have it generate AI slop then present that as a legal argument without reading it
LLMs are basically extremely complex text autocomplete systems.
Most smartphones these days have such systems learn from yourself, personally (and of course use all of your vocab data to make a profile of you and sell it to marketers, law enforcement, whoever is buying)… but LLMs learn from… a little bit of everything, all of the time.
At this point, everyone should understand that every single thing a public AI “writes” needs to be vetted by a human, particularly in the legal field. Lawyers who don’t understand this need to no longer be lawyers.
(On the other hand, I bet all the good law firms are maintaining their own private AI, where they feed it the relevant case histories directly, and specifically instruct it to provide citations to published works and not make shit up on its own. Then they validate it all, anyway, because their professional reputation depends on it).
I think it would be quite reasonable for any lawyer who files something that includes references to case law that doesn’t exist to simply be disbarred.
The courts are backed up enough without having to deal with this bullshit. And it shows clear lack of concern for properly representing their client
Yes
This kind of AI use is a plague. I’m a fourth-year student at one of Romania’s top medical universities, and it’s insane how many of my peers can no longer write proper essays, conduct research, or carry out studies independently. Critical thinking, attention span, and management skills have all taken a huge hit. My girlfriend attends a highly ranked private high school (where annual tuition is in the five figures, €) - the same issues are present there as well. Depressing times.
AI is completely unreliable to the point of almost being dangerous in sciences. The more niche you get with the question the more likely it is to give you a completely incorrect answer. I’d rather it admit that it doesn’t know.
Chatbots are text completion models, improv machines basically, so they don’t really have that ability. You could look at logprobs I guess (aka is it guessing a bunch of words pretty evenly?), but that’s unreliable. Even adding a “I don’t know” token wouldn’t work because that’s not really trainable into text datasets: they don’t know when they don’t know, it’s all just modeling what next word is most likely.
Some non-autoregressive architectures would be better, but unfortunately “cutting edge” models people interact with like ChatGPT are way more conservatively developed than you’d think. Like, they’ve left tons of innovations unpicked.
And trump admin used LLM to generate tariff policy and also to decide who should lose their visa and get deported. And I’m sure there’s more.
The whole AI craze is showing that billionaires really got fooled what LLM is, and also shows us that to be a billionaire the requirement isn’t to be smart, but to be born to already a wealthy family and be a psychopath.
In this case I’ll allow it, why waste more time on the pillow guy, just deliver some AI slop and go fishing.
And if I lose my BAR, then it was god’s plan all along.
Some of the lawyers I’ve dealt with can’t write correctly even without using AI
