Maximum Lawyer

Tyson Mutrux 00:00:01 Get ready because here's your host, Tyson Matrix.

Tyson Mutrux 00:00:14 Welcome back to the Guild live show. I'm Tyson Matrix and today it's going to be a bit of a shorter show. so I'm going to try not to get too preachy at the end. So no promises with that one. But I do got an interesting one where we're going to be talking about a little bit about negotiations. ChatGPT usage. That was kind of an interesting thing that came out this week. And then an article about anti ChatGPT, which I hate the name of this article. I also kind of hate talking about what I'll be talking about, but I'll be talking about it. it's because of the company that's involved. top 50 mistakes will go through some of those. I thought that was kind of an interesting thing. And then we're going to talk about, Charlie Kirk. So if you don't want to join to the end, I completely understand, but I'm not going to get political. I promise I'm not going to be. It's not gonna be a political rant.

Tyson Mutrux 00:01:07 But I do. I do think it's something I want to address. So I considered just so you know. And then I consider actually spending the entire episode. But I figured that's probably not why people tune in. And so I wanted to make sure I was respectful of that. But I do think I've got some things I want to say about it. And so I'm going to talk about it a little bit at the end. But let's get in to the show. The first topic we're talking about is it's an interesting, article that I found on, that it was about not an article. It was a was a post and it was about negotiation tactics. And I thought it was really kind of an interesting thing that I would, would share with you. So I'll put this on screen so you can see what it is. All right. So here's the post and I'm not going to go through all of it. But what they did is they looked at negotiators that were rated as effective by both sides, have a track record of success over a substantial period of time, have a low incidence of implementation failure.

Tyson Mutrux 00:02:19 So those are who they chose. Okay. So so in the preparation stage, results show that in comparison to the average negotiators, skilled negotiators, they considered about twice as many possible outcomes and options. So that was interesting. So about five compared to about two and a half different options. I thought that was an interesting thing. They spent about three times as much time on anticipated areas of agreement. That's to me makes a lot of sense. You want to focus on those things that we're where are we aligned? That's I think that's a pretty smart thing, by the way. The reason why I think it's important, like everything's a freaking negotiation. whether you're doing family law or criminal defense, personal injury, estate planning. I mean, you might be negotiating with vendors about different fees on things like there's a lot of negotiations that go into running a business. And that's why that's why I want to bring this up. So that's if you're wondering why are we talking about negotiations? This is why they consider it about twice as twice as many long term issues, 8.5 versus four.

Tyson Mutrux 00:03:24 I'm not going to do all the numbers because I just it's not not not as important plane specific sequences. So negotiation negotiating issue A then B then C about half as often. So they plan specific sequences about half to half as often. That's interesting. So they didn't plan they plan specific sequences less. That's that's interesting. set ranges. So instead of a fixed point more often that is interesting. But I will say that is something we do when it comes to our we go with a range. We're looking for a range is what we're trying to do. they spent a similar amount of time on preparation, suggesting that they planned not more often, but more efficiently. So spend a similar amount of time on preparation. So they were just more efficient with their time in preparation? I think you might say that might suggest that, it also could you could say this, that preparation not as important. That's another thing you you might want to you might weigh another way of looking at it, but, Jeremy Danielson, thanks for the kind message.

Tyson Mutrux 00:04:39 Just got a kind of message from Jeremy Danielson. So I really appreciate it. so. But, so that's. I think that could be another suggestion. You could say that that's that's what that is, but. All right. then we go down to when analyzing behaviors during face to face negotiations. Rackham is the person who put together a continuing theme from the planning stage that skilled negotiators avoided, Creating disagreement and conflict. They did so by doing the following. Use only about one fifth as many irritating words. Those are words such as generous offer fair, reasonable fares. Definitely something. That's what Chris Voss talks about. You know, don't use the word fair. So those kinds of words can irritate the other side. Make about half as many immediate counter proposals. So immediate counter proposals tend to be seen by the counterpart less as proposals than as attempts to block or oppose their proposals. Interesting thing using verbal attacks and defenses, only about one third is often. I think that that makes a whole lot of sense.

Tyson Mutrux 00:05:41 using behavioral label area and labeling areas of disagreement only about one third as often. But so these are some of the things I can go through this whole thing. As you can see, it's a it's a pretty long post, but I thought that was an interesting thing. So some things to think about when you are negotiating. But let's get into the next topic today. And that is ChatGPT Usage. This is an interesting one for sure, because they, It's broken down. This is something that OpenAI released. Let me show you this, where and this is from a Greg Eisenberg post. And this is this diagram that you're looking at has been all over the internet. So you've got it's broken down into multimedia. So you got this other unknown area, practical guidance, seeking information, self-expression, technical help writing the by far the two categories that are the biggest as you can see practical guidance. So creative ideation health fitness, beauty or self care, how to advice, tutoring or teaching those. And of the practical guidance, tutoring or teaching was the highest.

Tyson Mutrux 00:07:03 Not a surprise writing so. Argument or summary generation? Edit or critique? Provided text. personal writing or communication. Translation or writing fiction. Writing fiction at 1.1. 4%. Isn't that cute? And then you got the technical help 7.5% data analysis. Mathematical calculation. If you were using it for mathematical calculation early on, you were getting a lot of bad numbers. Your data was probably terrible. It's pretty good now, but, early on not so good computer programming for I am surprised computer program is so low. That's really surprising to me. Maybe it's just because of the general population that's just a little low percentage, but it is really helpful with us when it comes to things we're doing with, with our, with coding and all that. Then you've got the seeking information, looking for specific, specific information. I don't know how they're categorizing this or other things, because I could lump that easily into other things, purchasing purchasable products and then cooking and recipes. That's a little less than you'd think. I think cooking recipes a little bit more.

Tyson Mutrux 00:08:08 And then you have this other known, other unknown, and then you've got media. 6%. So really, if you if you break it down. Practical guidance, seeking the information of writing. That's where the bulk of everything is. So I thought that was kind of an interesting thing that I would share with you all. So let's let's get into the the next one. This is where it's, I just ain't even bringing up this company. But this is a there's some bold claims in this article that I wanted to bring up. So that's why I, this is why I wanted to talk about it. All right. So this is an article from VentureBeat. And in this one, the Antigua ChatGPT Thomson Reuters Multi-agent system slashes 20 hour tasks to ten minutes. That is the claim that I was like, what? Not a huge fan of Thomson Reuters. Don't tell anybody. The ChatGPT Thomson Reuters multi-agent. That's why it's like why is this the anti ChatGPT? That doesn't make any sense. It's not true.

Tyson Mutrux 00:09:14 It's just something that they wanted to put in there to make. The article sounds fancy. You could ignore that part of it. The selection is 20 hours to 10 minutes. That is what's interesting to me. Pretty dang bold claim. So what is the future of enterprise? AI isn't about speed, but depth. This is Thomson Reuters. Westlaw is a bet, but the company's deep research platform that was specifically designed to take its time working an average of ten minutes. Okay. This allows the multistep research agent to plan executed pool. And by the way, working an average of ten minutes. And that's their bold claim as to how it's the anti ChatGPT. You can do the deep research and it takes a long time. I've had some that taken I'd say well over ten minutes, but it's taken over ten minutes to do the full analysis. So that's kind of a garbage claim. But this allows the multistep research agent to plan, execute and pull perplexities the same way. By the way, from a deep curated data set of more than 20 billion docs, up to date case law, blah blah, blah, blah, blah, blah.

Tyson Mutrux 00:10:25 unlike retrieval augmented generation systems Rag, I've talked about Rag before in the show. Deep research is designed to eliminate errors and hallucinations, providing I mean, here's the thing. Here's just like you can create a Rag system that builds this stuff in. So this is kind of a what they're going to try to do. It's going to sell you on this really expensive product that you could probably build yourself using their stuff. I can say, right, you can probably build an AI agent that will go in and research it in their systems. The researching the billions of documents. No one's researching billions of documents. We all know that, you're you're researching a specific subset of the billions of documents is what you're doing. That's just fancy the article talk. There is a sign that fancy. It's just article speak is what it is. But what you've got is you can build a system with rag or without rag. You can build it though the analyses goes and searches their systems and then takes the output. And then you have all these checks and balances.

Tyson Mutrux 00:11:29 You can actually do that. We're doing that with a lot of other things inside the firm. So I think this is just a lot of bold claims that are they probably built out an AI, a team of AI agents basically. And then that thing is they're just they're they're mass, they're scaling that to be able to sell to everybody. That's what they're doing. And so if you want to if you want to like a pre-made one, fine. Great. Go for it. It's probably really, really expensive. multiple agents in the mix, a rich data set, multiple. Westlaw isn't wedded to one underlying model. The team has a multi model strategy with different models chosen based on their effectiveness with different tasks. And that's what you do. And that's how you build out these these agents anyways. Where okay. What's the task? Okay. Go this way. What if. No, it's more complicated. Go that way. That's that's that's all they did. That's exactly what they did. They just built out something that I guarantee a lot of you could build out with some vibe coding.

Tyson Mutrux 00:12:24 That's probably what you could do, but I think that's enough with this article. I it's just I wanted to touch on, in case you've seen it, it's kind of an interesting thing. And then the next thing I want to get to, it's the top 50 mistakes, because that's a longer article, and I want to make sure we have time to talk about that one as well. So, here we go. And you can't see that quite yet, so I'm not sure you can actually see it. there you go. There we go. I'll help build on. So let's see. I will build and sell companies worth many millions. Here are the top 50 mistakes I've seen. Kill startups. All right. That's. That was kind of interesting. That's why I want to go through this. So there's some of this screen space so you can see things thinking you have all the answers. Let's go. Ignoring the impact of compounding, which is that's an interesting thing. how making little bitty steps again have significant impacts over time.

Tyson Mutrux 00:13:33 That's a I think that's a really good one, disregarding the law of funnels. That's great. Any action of a user or customer needs to take is to take is considered the top of a conversion funnel. The goal is to get them to the bottom. I talked about funnels somewhat recently. and we'll be releasing something, probably announcing over the conference, that will tell you that it's got funnels in it. So that's all I'll say when it comes to that, hiring based on experience. So, I think that's an interesting thing. And I think that this is right. That sounds crazy at first, but you want to hire the right people, okay. Focusing on the right people then experience. I think that's important. Focusing on scaling too early. That's it. Yeah. So this is an interesting diagram about, really plateauing. That's kind of an interesting thing wearing too many hats. I think a lot of people know about that. Comparing the work in progress to others. Finish work. Big problem in the legal space.

Tyson Mutrux 00:14:33 Trying to resolve unbounded problems to be to be solved effectively and efficiently, problems must be segmented and bounded. First, split your intractable problems into small, digestible challenges with a single goal in mind for each second, ensure that their solution is bounded to a finite solution space. Not realizing this is almost always a recipe for wasted resources and disappointing outcomes. Being frightened of incumbents. That's interesting. You see the lessons with lawyers. Oh, these the new persons coming in and down. Oh my gosh, it's they're awful yada yada yada. I'm fearing the pivot. You know, that's a good one. where sometimes you have to pivot. Sometimes think that things aren't working the way you want them to. And you gotta you gotta pivot. So. yeah. Very good. But. All right, so I want to get to I want to I've got to get done a little bit early today because I've got the, we got a quarterly meeting today. So what I do want to do is I want to get to my, my last topic, and that is, the, the Charlie Kirk assassination.

Tyson Mutrux 00:15:42 So, like I said, not the this isn't going to be political. I, this is not something I ever do on the show, but I, I'm just part of this is just something over the last week. It's I mean, I kind of had to pull myself out of a hole because one, it was just a a really shocking thing to see a human being, murdered in that way. And. so that was odd. It was in front of millions of people. realizing that his his daughters and his his wife had seen it. They they saw it happen was a, a shocking thing, the fact that someone would do that over. Over someone's speech was, was shocking enough. But what really, really just bothered me as a human was seeing how people reacted. That is what. And that's what I wanted to talk about. I want to talk about the reaction part of it and the humanity part of it, and how it really worries me as a profession, because I saw a lot of lawyers react in a way that I never thought was when it was ever possible, and it really made me it made me think about a lot of things I've observed the last few years when it comes to litigation and how I've seen people treat each other and how, I've seen people become very vicious.

Tyson Mutrux 00:17:19 I think it's a really scary thing because it's interesting. you saw people celebrating the death of this person, and, you saw people criticizing his faith. So talking about Christians, being a negative light and I it was really interesting because the the things that they were, they were celebrating were could have been just as easily applied to your neighbor could apply to anybody, could apply to me. and it really is bothersome and I highly doubt it. Something that would have been said to a person if you were in the same room with them. And so the message is, is. As I would like to convey is just remember that we're all humans, and the vast majority of us are in that middle 80%, and there's a 10% on the far right and a 10% on the far left that that have done a really good job of tearing us apart. And don't let it tear at your humanity, because it is something that, if once you get out a certain path, once you go far enough, I think it's kind of hard to to to come back from that.

Tyson Mutrux 00:18:45 And so I really hope I mean, there are some of you that this is going to go right through one ear and out the other. I'm not going to I'm not talking to you. I'm talking to the rest of us. This is really what I'm talking to. I'm not talking to those of you that think that a murder of a person in front of his wife and his kids was justified. I'm not talking to you doesn't apply to you. I really don't care if you. I don't care if you hear me or not. This more applies to the rest of you that do have a heart. You have a brain and that you you care about, you care about humanity in general. So I hope that you will win interacting with people online, in person. When you're dealing with other other attorneys or you're dealing with vendors, you're dealing with anybody that you remember. You're actually dealing with a human being that you're not doing, dealing with someone that's just a bot. It's just not a computer program.

Tyson Mutrux 00:19:46 These are real people, real lives with real families. And that I'm hoping that you will you will act accordingly. Because the things I saw this last week, I lost a lot of respect for a lot of people I just did I, people that I thought somewhat highly of are very highly of lost every ounce of respect I ever had. And so, as. As Facebook learned as the line in Facebook that the internet's written in ink and mountain pencil, just remember that the things you say online. you can't take them back. You've rung the bell. So, I'm hoping that. And here's the thing. Some of you may not have meant to even meant it, but you know what? The people that see it, they feel it. And and they think you meant it. So hopefully, hopefully we can get better. That's what I'm hoping. So hopefully stick around for the end. you know, I it's one of those things where it's it's obviously I wouldn't want to have to talk about something like this, but it's something that I think I kind of needed or needed to address.

Tyson Mutrux 00:21:00 But I hope that we can get better from here. Hopefully. you know, the, we can all start to interact better with each other, but I hope you have a better week. Hopefully things get better for everyone. Hopefully that we all start to treat each other with respect, but enjoy the rest of your week. and leave me a comment if you agree or disagree. Whatever. But otherwise, thanks for watching. Appreciate it. I hope you get something from this episode and I will be seeing you later.

Tyson Mutrux 00:21:33 And next mastermind in New York City is sold out. But don't worry, there's still time to get your tickets to the mastermind and Max Lorcan in Nashville in October. Max Lorcan is three days of immersive learning, powerful insight, and meaningful connection, all designed to provide actionable strategies you'll take back to your firm and implement right away. No fluff, just real talk and tangible takeaways you can implement immediately. Go to max. Com for more details.

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