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The Chicago YouTube Accelerator is coming up and it's about actually getting it done. We've got our friends Jeff Hampton and Ryan Weber joining us to lead it because they're doing the thing. Ryan's biggest client, who happens to be his wife, is known as the real estate lawyer on YouTube and has over 95,000 subscribers. And Jeff's law firm, channel Hampton Law, is sitting close to 600,000 subscribers. They These aren't people guessing at YouTube. They're in it and they're laying out exactly what's working and how you can apply it to your firm. You'll dial in your niche, map out your content, script and film your first video, and build the backend so it actually turns into a system. We're in the last month before this event. If you want YouTube figured out this year, this is the place. Grab your ticket to the Chicago YouTube Accelerator@maxflovents.com
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welcome back to Maximum Lawyer Live. I'm Tyson Mutrix. I had fully prepared a show on transitions in life that I've since thrown out the the window as soon as I saw this other video. And the reason why I want to talk about transitions is I've got tonight, I've got Emma, she's graduating, graduating from elementary school. I didn't have graduations from elementary school or middle school whenever I was a kid, but that's a thing now. So Emma's graduating from elementary school tonight. Jackson, our oldest, he's graduating from middle school tomorrow. And we've got a, our youngest, he's Hudson. He's going to a new school next year. So all these different transitions in life. And I wanted to talk about that, but then I see this video which I'm going to play. I'm going to play parts of it and then stop and talk a little bit about it. But I really think it's a, a, it's a window into the future. I think it's a window into the future to give you an idea as to what's happening in Silicone Valley, but it's actually going to happen. Law firms, I think that this is a really good picture of what is to come. And that's why I, I saw this. I was like, oh, this is interesting. So let's start to play it a little bit and you'll know what I'm talking about. So this is Mark Andreessen, really famous, very rich guy. He's very tied into the tech industry. So let's hear this for a little bit.
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Here's what's actually happening with coding here's what's so interesting. So everybody I know who uses AF for coding, you think basically one of two things would have happened. One is they just would be out of the profession entirely, you know, because there's no point anymore. Or you would think, well, maybe they just have a better life now because they working less, right? And so if, if coding, if AI coding makes them four times more productive, you know, if they can write four times the amount of code in the same amount of time because they've got AI helping them, then maybe they're working only a fourth the time and they've got. Now they've got a great life. What's actually happened is virtually to a person, they're all working more hours than ever to the point where there is a new term of art that's used in the valley called the AI Vampire. Which is. It's. It's when AI turns you into vampire, you're up all night doing it.
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Okay, so let's, let's stop it there for a second because I can tell you I relate to this. I have over and I, I gave a demo in the association of foxy, our new case management system that we built. And I, we've been working on that for. I mean now the timeline is all. I don't even know if it's six weeks or eight weeks. I really don't know for four weeks. I really. It's one of the things where all my days have been blurred together because like he is saying, Kashif and I, we were, it was like we were taking shifts and we had to take shifts when it comes to Bolt. That's why. Because only one of us could be in Bolt at a time. And lots of times what would happen is, is that if I were working in Bolt, he'd be working on back end stuff and then vice versa where. Because there's some things you have to do that are not inside a Bolt. You know, sometimes just, you know, dealing with stuff inside a Claude or dealing stuff inside a super base, which I, I don't expect you to understand what Supabase is at this point. Some of you may know or like sometimes we're. Okay, what, let's check out GitHub. Like, like there's just different things we were taking. Taking a look at and usually Kasha's one that take took care of GitHub stuff. I wasn't even fully aware of what GitHub GitHub did until like a week ago. So I, I've got a better understanding now, but he he was dealing with all that stuff. And, like, it was. I'm talking. I could not wait to wake up. And I would. I just kind of giggled like a little school kid. But it's. Because it's like, it was. It's so exciting to me. It really is. It's. But it's like I have, like, have not. Like, it was like, okay, I can't wait to get up. And then working all day with it, working all night with it where like, just running these agents and letting them run, right? And just go, go, go, go, go. So I get. I would. I kid you not, I would wake up in the middle of the night. Or if I woke up, wouldn't. I would not do this intentionally. But let's say I woke up, I would actually get out of bed, walk over to my laptop, which I had set up on the dresser. Okay. And I had. This is how bad I had gotten. I so set it on the dresser. Had. Had reduced the. The. The keyboard light and the screen light so it was dark. But then I would get up, I would. I would turn the light on. On it. I. And so I'd kick up the light just enough where I can see it, not too bright, and then I would check on it. If I prompt it to do something else, I would prompt it to do something else. Usually I did. Boom. And then I would reduce the light back and go back, back, back to bed. That's how bad it got. So I get what they're talking about when it comes to the. The Dracula, because it's. It. It had gotten pretty bad. So there's more to this. So we're going to continue. I want to. Want to. I want you to see more of this because there's some consequences of that,
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as you might imagine, AI coding because you are so productive. You're getting so much done that you can't turn off the. The opportunity cost of going to sleep is too high. Because if you go to sleep, you won't be with your 20 AI coding agents keeping them working on all the projects that you have them working on. And so people stop sleeping. And so I have all these friends, some of whom are quite famous, where, when you talk to them now, as opposed to six months ago, they look terrible, they're sleep deprived, they've got bags under their eyes. You know, they're clearly, clearly, clearly not taking care of themselves.
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Okay? So as I said, there's some consequences you can see, I'm sure, for those of you watching, I have some bags under my eyes that I'VE not always had. I, I, I can tell you from experience now. I'll also tell you I've spent the last few days sort of notching it back quite a bit and resting. And so my b, the bags under my eyes are not nearly as bad. Mostly under my, my right eye. As of right now, the left eye is not nearly as bad because it's reduced quite a bit. But I can tell you I, I have felt the exhaustion. It has kind of hit me. So I've, I've noticed that. So the last few days I've actually taken it pretty easy. Over the weekend I took it pretty easy. Didn't you didn't really do a whole lot. It is one of those things where like I've felt it and it is a, that's a real thing. So I understand people looking terrible and I, I bet I looked a lot worse a few days ago because I have been resting. I even, I even took a nap yesterday. So though, which is not, that's not something I do. Not on a weekday. There's, I'm not going to be taking a nap on a weekday. It's just not what I do on occasional Saturday I might, you know, during, during college football season maybe I might do that. But it's very out of the ordinary for me to take a nap during the week and I did yesterday. So. But there's more to this. So we're gonna, we're gonna keep going. Here we go. Because I definitely want to talk about this. This is, it's a very interesting video. It's a three and a half minute video and we're, I don't know, a minute in and I just find it very interesting. So here we go.
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And they're absolutely ecstatic because they are able to produce 5 times, 10 times, 20 times more code per hour than they could in the past. And so they are just absolutely ripping through every project that they've ever wanted to do at work, every coding project they've ever wanted to do at home. I have a Wall street friend who has a computer science degree from MIT from 35 years ago and then became very successful on Wall Street. So he stopped coding. I was just with him this week. He's picked up coding with AI he's completely re automated his entire house. So he's got like AI jukebox and security cameras and pet robot dog pets. And he's got every smart fridges and every conceivable thing you can imagine. And he keeps running tally and he in his spare time has generated 500,000 lines of code just by working with AI and he, and he's one of these AI vampires, right? And so now he's got like the, he's got like the digital music jukebox system of his dreams to let him like, you know, the way he's always wanted to experience music.
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Okay, so let's, let's stop that again for a moment and talk a little bit about this. I've been the same way where like home stuff, work stuff, like all these projects I had. I have this running list of projects that. Things that I've been wanting to do that we've just, we just like one of those things. Until recently they were just not possible to do unless you had a massive army of people to do them. Just weren't. And now it's just. Let's. Let's implement this. Boom. Let's implement that. Let's implement this. Boom. Click a few clicks of a button. Boom. Let's finish this training here. Boom. Let's. All these different things done done. Like this is a very. I've used this as an example in the past, but this is just a basic example of what like I've, like, I, I want to organize the, all of the stuff on my desktop because I'm a, I'm a habitual screenshot taker of things. I, I have all the screenshots that are. That I've ever taken. Not. I don't know about ever, but that I've taken over the last few years that are on my desktop. That's. I have a lot, as you can might imagine, they've all been organized by topic. I didn't do it. I had, I had Claude do it. And it is a really small thing, but, you know, it's actually a really important thing. Whenever you need to see, find a copy of a screenshot that you did of that's maybe from a deposition or maybe it's from a project that you're working on. What you name it. Maybe it's a financial thing. I don't know what you name it. Whatever it might be all organized by topic. There's like 12 different topics and now I can just go through and find them. I could if I wanted to go through and say, hey, rename these based on what it is. It would probably do that too. So I could probably easy it find it. Maybe, maybe that was just an idea ahead. Maybe I'll just go do that. But all of these different things, the, the ideas. So like right now it's for the idea people that it's for the idea people. If you have an idea, boom. Go, go, go do it. Go. Just implement it. Implement the damn thing. Just by typing in some words into a little box and just saying, go, do it. Right. It's really, really simple. It's, it's, it's, it's amazing the world we're in right now. We can get so much done. But keep going. There's, there's a. I'm gonna make a reference to something he said before, but I'm gonna, I'm gonna come back to it. It was in the first clip that I played you. I'm gonna go back to it because I think that's more of the window in the future. But keep going.
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It's just like one of the projects he's done. And this is what, by the way, this is the same thing the companies are seeing. So in the companies, in the leading edge tech companies, the coders that are using AI, the estimate is right now that they're 20 times more productive than they were before they started using AI, right? So they're generating 20 times more output per, per, per per hour. And then, and then you just think like logically, what does that mean? Okay, so if there's only a limited amount of software that people want in the world, then yeah, you're going to get mass unemployment. But then there's the elasticity effect, right? Which is what if, what if it becomes super cheap to get code? It turns out there's way more demand for code in the world than was ever able to be satisfied under the old economics. Every company, every company I know has a thousand things that they've wanted to have code for that they've never been able to get to. The projects that never make the cut or the projects that aren't cost effective.
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So let's just pause there for a second. So I, I think what you're going to start to see with law firms too, same thing. You're going to see a massive improvement in everything when it comes to law firms. That's what you're gonna, at least you should, if you are in the association, you should be starting to focus on. We need to improve everything. That's what we're gonna do. Because you're, if you don't, your competition is going to. And they're just going to out compete you. So you're going to see an improvement in marketing. This is not a political comment. This is just a very fascinating thing to me. And it's political because I think they're all they're all liberals. So like, it's, it's one of the things. It's. It's. It's not like a liberal versus conservative thing, Republican versus Democrat thing, but the. If you look at the LA so Los Angeles mayoral race, right, you got three candidates and you got this guy named Spencer Pratt where he's been using AI to create these campaign ads. And they've been really impressed. I mean, you've seen since he's been rolling out these ads, you've seen this massive spike in his. His popularity. Karen Bass still might beat him. But I think the way that it works there, if no one gets 50, there's gonna be a runoff. So it's probably going to be the least. At least the way it is right now. Karen Bass versus Spencer Pratt. And it's really interesting to watch it because his campaign, he's able to compete at such a higher level. It appears that Karen Bass is working. She's kind of operating the old way when it comes to campaigning, where you throw a bunch of money at things. You're like TV ads, you like billboards, all the street signs, all that kind of stuff. He's using AI to level up when he comes to his campaign. So it's a really good example of how, okay, one candidate which doesn't appear. And maybe, maybe Karen Bass is using AI, but I've just not seen it. That could be. But it appears that she's not. He is. And he's now with less money with. He had less name recognition. She's the incumbent. She still may win. But where he was. He was like at 2%. And now he's like, like, I don't know, within 8. 8%, I think of her. It's pretty impressive over a span of a. About, I'd say a month or two, right? It's pretty impressive all with AI. So you're gonna start to see the same thing when it comes to law firms is leveling up across the board. I mean, across the board, you name it. When it comes to. I'm hearing things about intake. I'm like, we're talking about voice AI. When it comes to actual. The efficiency of the affirm itself. When it comes to litigation, there's all these different things. You're gonna be able to use AI for that with marketing, whatever it may be that you didn't have access to before. And if you don't level up, which you're going to, if you're listening to this or watching this, then, yeah, you care about leveling up and you're going to, that's what you're going to start doing. And so that's what you're going to start to. You're going to see this massive improvement in Legal Services. A massive improvement where you. I, I'd say that the status of Legal services, the quality of it stayed pretty stagnant over the last couple decades. Decades. That's going to change substantially. Right? Substantially over the next next few years. All right, let's keep going. Let's listen to some more of this. We got about another. I was about to 40 minutes, 40 seconds left of this. So let's, let's keep going.
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The old model and all of a sudden they can do all those projects. And so these, these companies are like ripping out code. They're releasing products like at a far faster rate of speed. They're adding like features like much, much faster. They've like moved into, into turbo mode. And in fact what's happened is coding, Coding salaries are correspondingly inflated. So the top coders in AI make $50 million a year.
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Yo.
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Yeah. Yeah. Because right. Like they've got, they've got the silver bullet. They've got the Philosopher's stone. Right. Okay. Is this sustainable? Yeah, not only is this sustainable, this is going to intensify.
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All right. I played it to the very last second for a reason. I wanted to talk about that because a few things. One, the last part of it is it is going to intensify. I mean you've, I've talked about the whole seven month thing where every seven months the capabilities have doubled. It's. I mean so if you think about where we are now, where we're gonna be in seven months, it's gonna be, I mean just, it's just like the mind, the mind can't comprehend it. It's really kind of crazy. It's going to, it's gonna more than sustainable. That's why they're trying to build all these data, data centers everywhere. That's why that's in the news quite a bit. So that's, that's really, it's just, it really is. But then you also, I want to make a reference about the. He's talking about coders. But you are going to see where there's going to people be the people that are very efficient with AI in your team that make the team better using AI and there's the ones that don't. And you're have to make decisions as to value and pay and all that because you're going to start to see a reduction in workforces across the board, which is going to free up your capital. And the really valuable ones, you're going to want to keep around because they're the ones that are building and making the team better and making your team super efficient. So you're going to see an increase in those salaries. You're going to see a reduction in the workforce for other people. I think that's really, really important. Okay, so I'm going to go back to something he said at the beginning. So. And I don't know, just to kind of refresh your memory about this. He's talking about the drag. The vampires, right? Tell me the vampires. Let me see if I can. I'm guessing as to where this is. So let's. Let's play it a second.
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You would think, you would think basically one of. One of two things would have happened. One is they just would be out of the profession entirely, you know, because there's no point anymore. Or you would think, well, maybe they just have a better life now because they're working less, right? And so if coding, if AI coding makes them four times more productive, you know, if they can write four times the amount of code in the same amount of time because they've got AI helping them, then maybe they're working only a fourth of the time and they've got. Now they've got a great life. What's actually happened is virtually, to a person, they're all working more hours than ever to the point where there is a new term of art that's used in the Valley called the AI vampire, which is. It's when AI turns you into vampire. You're up all night doing AI coding because you are so productive. You're getting so much done that you can't turn off. The opportunity cost of going to sleep is too high. Because if you go to sleep, you won't be with your 20 AI coding agents, keeping them working on all the projects that you have them working on.
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Right there. That's the part I want to talk about. So the. The 20 different AI coding agents that they're all working, right? That is a window into the future of work right there. That's if you have a human in the loop, which in the legal profession we should. For the foreseeable future, I think well into the future, maybe not so much, but what you are going. If you want to know what it's going to look like for work in the. In the foreseeable future. And I'm talking months. I'm talking months, okay? I'm not Talking about years Eve. I'm talking about months. People managing agents. Okay. Okay, where are we on discovery? Let's go check out with the agents. Okay, looks like these, these four cases. Okay, look, discovery looks good. Okay, boom. Send it.
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Boom.
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Hit the button. All right, next, next thing up. Boom. All right. Okay, let's go over here. Looks like depositions need to be scheduled. And okay, boom. Let's schedule these three depositions. Go, go. Do that. Boom. Okay, so they're, they're managing all these. Okay, where are we on service? You'll have a service of process agent, whereas it's, it's interacting with the process servers and it's checking out the, the, your E filing system to see what needs to be e filed. When it comes to service of process to show proof of service. It's, it, you know, it's updating the file with the documents from the, you know, your online E filing service for your state, all these different things. So that's the future of work. Okay, you have a medical records agent that is maybe one that's doing the request, but also you have another one that's doing the summarizing of the, of the medical records. You are, your team is just simply going to be managing all of those little things. That's what it's going to be. And you might be thinking, tyson, well, you're not going to need a full team for all that. And you know what? You're probably right. That is probably right. So you have a decision to make. I talked about this last week or maybe two weeks ago, I think is whenever I talked about it, which I. That really. Yes. Two weeks ago, that really tough conversation that I'm hoping my, my team is not seen. But you, you have a decision. Okay. Or does do you keep those people all on and shift them over to more, you know, client focused roles, more like customer service kind of thing, which I, that's my preference if you can make it work. Or do you eliminate those roles. That's where the tough, tough decision is. But that's where we're headed. This is, this is where we're headed. It's management of agents. That's what it is. And the next step after that is the agents. Managing agents. That's, that's, that's the next step after that. That's the next natural progression from here. But if you want a window into the future, you just got it. That's it. Mark Andressen, he's, he's, he's right a lot about a lot of this stuff. He's very, he's very rarely wrong when it comes to tech. And this is a, it's a really good insight as to what you can expect. But all right, that's all I have this week for you. Hopefully you got something out of this. Hopefully you enjoyed that video. He anytime you can get insight from Mark Mark Andreessen I I highly recommend that you listen to it because very smart guy. But make it check out. Make sure you check out Becca's list co for the best in legal vendors and who to avoid as well. Also, if you are interested in the Association Go to Maximiliano.com make sure you get your tickets to Maxlock on Maxlocan.com Maxlocan.com make sure you get your tickets because tickets have gone up, prices have gone up. So the I want to make sure you're, you're, you get your tickets before they go up again. So make sure you get those tickets. Go to maxlocan.com have a great week, everybody. We will be seeing you. See you, buddy.
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Maximum Lawyer Podcast
Episode: Managing 20 AI Agents: A Window Into the Future of Legal Work
Host: Tyson Mutrux
Airdate: May 30, 2026
In this episode, Tyson Mutrux pivots from his planned discussion to share and analyze a thought-provoking video clip featuring Mark Andreessen, exploring how AI—particularly the management of multiple AI agents—is rapidly transforming work environments. Tyson unpacks the implications for law firms specifically, illustrating how the future of legal work will revolve around human management of AI agents, the unprecedented productivity gains, and the critical choices ahead for law firm owners.
The episode is candid, energetic, and spontaneous, with Tyson directly connecting Andreessen’s insights to his own law firm’s journey with AI. There’s a palpable excitement, but also an undertone of urgency, realism, and a touch of exhaustion—echoing the “AI vampire” metaphor. Tyson’s practical examples and willingness to discuss hard choices make the episode highly relevant for law firm owners and professionals seeking a clear-eyed perspective on AI’s impact.
If you’re a law firm owner, this episode is a clarion call: embrace the future of AI-driven legal work, or risk being outpaced by competitors who do.