Earlier quoted context omitted.
I never get the same answer from any two lawyers. I hate law as a result. With developers you might get disagreements based on experience, but there's usually a strong consensus on specific things, with lawyers and courts its all over the flipping place. I wouldn't be surprised if LLMs can "pass" on paper (ie college exams) but in practice, they might 'struggle' in different courts. ...On the other hand, if an LLM ha…
I now foresee a future where law firms have models trained on all the transcriptions of individual judges, lawyers and prosecutors, and run agents against them to decide on the optimal strategy for a case.
AI outperforms law professors in Stanford Law study
361–370 of 384 posts
Re: AI outperforms law professors in Stanford Law study
#362Earlier quoted context omitted.
They're only good at it because that's what they're good at? Come on.
They’re not good at it because they understand the law
Re: AI outperforms law professors in Stanford Law study
#363Making people believe that the 14 year old girl is a slut that was raping your poor client- THAT is lawyering.
Re: AI outperforms law professors in Stanford Law study
#364Earlier quoted context omitted.
I've used general purpose LLM AI (e.g. run-of-the-mill Claude, GPT etc) heavily to draft legal documents. The biggest trap is the hallucinated citation. It will easily insert an absolutely authentic sounding quotation from another case that perfectly proves the point you are trying to make, then it'll make up an authentic name for it, e.g. United States v. Shenzhou Electronics Inc or whatever. You can get really comf…
Just because the citation exists, what the LLM says it stands for and what it actually stands for are not the same. For testing, I've asked (admittedly last-gen) LLMs to generate legal opinions regarding issues in commercial English civil litigation, and I received back cases where the citation is real, but the area of law (family law) is not relevant as family courts apply a very different set of procedural rules. (…
I'm assuming you've just used some off-the-shelf ones like Claude or GPT? All the lawyers I know are just using those. I'd love to know what Lexis and Westlaw and other companies are serving that might mitigate some of these issues with better custom tuning or a better harness.
Re: AI outperforms law professors in Stanford Law study
#365Earlier quoted context omitted.
I've used general purpose LLM AI (e.g. run-of-the-mill Claude, GPT etc) heavily to draft legal documents. The biggest trap is the hallucinated citation. It will easily insert an absolutely authentic sounding quotation from another case that perfectly proves the point you are trying to make, then it'll make up an authentic name for it, e.g. United States v. Shenzhou Electronics Inc or whatever. You can get really comf…
> The biggest trap is the hallucinated citation. It will easily insert an absolutely authentic sounding quotation from another case that perfectly proves the point you are trying to make, then it'll make up an authentic name for it, e.g. United States v. Shenzhou Electronics Inc or whatever. Naive question from an outsider: aren't there searchable databases of cases (with complete text) so that citations could be che…
But yes, 100% LLMs should be able to check themselves. Another poster below brought up the other issue is that you can check the citation and it's 100% correct, but that it doesn't legally apply to what you are writing, and/or it doesn't mean what the LLM thinks it means in the limited context it has taken it from.
Re: AI outperforms law professors in Stanford Law study
#366Earlier quoted context omitted.
I've used general purpose LLM AI (e.g. run-of-the-mill Claude, GPT etc) heavily to draft legal documents. The biggest trap is the hallucinated citation. It will easily insert an absolutely authentic sounding quotation from another case that perfectly proves the point you are trying to make, then it'll make up an authentic name for it, e.g. United States v. Shenzhou Electronics Inc or whatever. You can get really comf…
I think the paralegal analogy is right, but with one important difference: a human paralegal usually knows when they are unsure, or at least can be trained to flag uncertainty
Re: AI outperforms law professors in Stanford Law study
#367Earlier quoted context omitted.
What would 3D printing have to do in order for it to be the new industrial revolution to you?
Everyone has one at home spitting out items they need daily/weekly like was promised. I don't know if you remember the 3D printer (somewhat) boom of the 2010's but the hype was crazy when it became more mainstream. Maker spaces popping up in cities everywhere, schools showing off their units, every conference had some talk on them, startups left and right. The AI boom is basically a more-funded version of that. It wa…
Re: AI outperforms law professors in Stanford Law study
#368Re: AI outperforms law professors in Stanford Law study
#369Earlier quoted context omitted.
What would 3D printing have to do in order for it to be the new industrial revolution to you?
Everyone has one at home spitting out items they need daily/weekly like was promised. I don't know if you remember the 3D printer (somewhat) boom of the 2010's but the hype was crazy when it became more mainstream. Maker spaces popping up in cities everywhere, schools showing off their units, every conference had some talk on them, startups left and right. The AI boom is basically a more-funded version of that. It wa…
Re: AI outperforms law professors in Stanford Law study
#370Earlier quoted context omitted.
Just because the citation exists, what the LLM says it stands for and what it actually stands for are not the same. For testing, I've asked (admittedly last-gen) LLMs to generate legal opinions regarding issues in commercial English civil litigation, and I received back cases where the citation is real, but the area of law (family law) is not relevant as family courts apply a very different set of procedural rules. (…
Right, I know what you mean. If the parties are only breezing over the motion then it looks great and 95% of the time you'll get away with it, even though really it's ethically dubious. And that's a super hard one for a human to catch when reviewing LLM output. Especially because (certainly for me) you tend to get lazier and lazier reviewing the LLM output as they get "smarter." I'm assuming you've just used some off…
It didn't feel drastically different from using ChatGPT with the ability to search the web, except it was searching material on Lexis, both statute/case law and commentary. It dug out some commentary that confirmed my prior hunches, but also pointed to some cases that weren't in any way relevant.
Otherwise, all the experimentation I've done is with non-confidential material using public LLMs.