Maximum Lawyer

Watch the YouTube version of this episode HERE

In this episode of Maximum Lawyer Live, Tyson Mutrux riffs on a short clip from Marc Andreessen to show you exactly what the near future of legal work looks like: you managing 20+ AI agents instead of a bloated human team.


Tyson shares how he and Kashef became “AI vampires” while building Foxy, their new case management system, taking shifts in Bolt, wiring up back-end tools like Supabase and GitHub, and literally waking up in the middle of the night to see what the agents had shipped.


Tyson also uses a wild example from the Los Angeles mayoral race to show how a lesser-known candidate is using AI to close the gap on an incumbent with more money and name recognition, and why the same thing is about to happen in your market if you don’t level up.


If you want a real-time window into the future of law firm operations, months, not years, away and what it means for your hiring, compensation, and leadership, this episode will give you the play-by-play.


AI isn’t just making knowledge workers more efficient; it’s creating “AI vampires” who are so productive with agents that they don’t want to stop working and law firms are next. The job of the law firm owner is shifting from managing people who do tasks to managing fleets of agents that run entire workflows.


In this episode, you’ll learn:
  • The “AI vampire” phenomenon in Silicon Valley and why lawyers should care
  • How building Foxy turned Tyson and Kashef into round‑the‑clock AI tinkerers
  • Why AI has unlocked a backlog of “someday” projects that used to require an army
  • How AI is already leveling up political campaigns, and why that matters for your marketing
  • The coming split between AI‑fluent team members and everyone else
  • Why top performers who master AI will see their compensation go up while total headcount goes down
  • The next 12–24 months of legal work: people managing agents, and then agents managing agents

Highlights
  • 0:00 – Tyson tosses the original topic and pivots to Marc Andreessen’s “AI vampire” clip
  • 1:30 – How Emma, Jackson, and Hudson’s school transitions mirror the transitions coming to your firm
  • 2:40 – Andreessen on coders becoming four to twenty times more productive with AI
  • 4:30 – Tyson’s Foxy build: taking shifts in Bolt, wiring up Supabase and GitHub, and waking up at night to check the agents
  • 6:00 – The physical toll: exhaustion, bags under the eyes, and why Tyson finally pulled back
  • 8:30 – The Wall Street friend who used AI to generate 500,000 lines of code and fully automate his home
  • 10:00 – Why AI is for idea people: shipping long‑stalled projects with a few prompts
  • 12:45 – The elasticity of demand: when code (or legal work) becomes cheap, demand explodes
  • 15:00 – What this means for law firms: massive improvements in marketing, intake, litigation, and operations
  • 17:40 – The LA mayoral race example and how AI helps underdogs punch above their weight
  • 19:00 – The salary shakeup: AI‑effective team members vs. everyone else
  • 20:20 – The true “window into the future”: managing 20 agents for discovery, service, med records, and more
  • 21:00 – Tough calls: do you eliminate roles or shift people into high‑touch client service?
  • 22:00 – Final takeaway: your future job is managing agents and investing in the humans who can do the same

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Creators and Guests

Host
Tyson Mutrux
Tyson is the founder of Mutrux Firm Injury Lawyers and the co-founder of Maximum Lawyer.

What is Maximum Lawyer?

Maximum Lawyer is the podcast for law firm owners who want to scale with intention and build a business that works for their life.

Hosted by Tyson Mutrux, each weekly episode features candid conversations with law firm owners, business experts, and industry leaders sharing real strategies and lessons learned in the trenches.

If you're ready to grow your firm with less stress and more support, this is your next must listen. Subscribe today.

Tyson Mutrux (00:00.00)
Welcome back to Maximum Lawyer Live. I’m Tyson Mutrux.
Tyson Mutrux (00:05.00)
I had fully prepared a show on transitions in life that I’ve now thrown out the window as soon as I saw this other video. The reason I wanted to talk about transitions is that tonight Emma is graduating from elementary school. When I was a kid, we didn’t have elementary or middle school graduations, but that’s a thing now. Emma’s graduating tonight. Jackson, our oldest, is graduating from middle school tomorrow. And our youngest, Hudson, is going to a new school next year. We’ve got all these different transitions happening in our family, and I wanted to talk about that.
Tyson Mutrux (00:38.00)
But then I saw this video I’m about to play for you, and it grabbed my attention. I really think it’s a window into the future. It gives you an idea of what’s happening in Silicon Valley and, more importantly, what’s going to happen in law firms. It’s a really good picture of what’s to come.
Tyson Mutrux (00:56.00)
So let’s play it, and you’ll see what I’m talking about. This is Marc Andreessen — really famous, very wealthy, deeply tied into the tech industry. Let’s hear this for a little bit.
Tyson Mutrux (01:08.00)
Here’s what he says:
Tyson Mutrux (01:10.00)
“Here’s what’s actually happened with coding. Here’s what’s so interesting. So everybody I know who uses AI for coding… you would think one of two things would have happened. One, they’d just be out of the profession entirely because there’s no point anymore. Or you’d think maybe they just have a better life now because they’re working less.
Tyson Mutrux (01:29.00)
If AI coding makes them four times more productive, 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 now they’ve got a great life.
Tyson Mutrux (01:42.00)
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 when AI turns you into a vampire — you’re up all night doing it.”
Tyson Mutrux (02:02.00)
Let’s stop there for a second because I can tell you: I relate to this.
Tyson Mutrux (02:08.00)
I gave a demo in the Association of Foxy, our new case management system that we built. We’ve been working on that for — honestly, the timeline’s a blur now — six, eight weeks, something like that. I really don’t know, because all my days have kind of blended together. And it’s for exactly the reason Marc is talking about.
Tyson Mutrux (02:27.00)
Kashef and I were basically taking shifts. We had to take shifts in Bolt because only one of us could be in Bolt at a time. A lot of times, if I was working in Bolt, he’d be working on backend stuff, and then we’d flip. Some of the work isn’t inside Bolt — it’s inside other tools. Sometimes we were inside Claude. Sometimes we were dealing with stuff inside Supabase. I don’t expect you to know what Supabase is at this point — some of you do, but many don’t. Sometimes we’d say, “Okay, let’s check out GitHub.”
Tyson Mutrux (02:57.00)
Usually, Kashef handled most of the GitHub stuff. I wasn’t fully aware of what GitHub even did until about a week ago. I’ve got a better understanding now, but he was dealing with all of that. And I’m telling you, I could not wait to wake up in the morning.
Tyson Mutrux (03:12.00)
I’d be giggling like a little school kid because it was so exciting to me. I couldn’t wait to get up and get back into it. I’d work all day with it, then work into the night, just running these agents and letting them run and run and run.
Tyson Mutrux (03:27.00)
I kid you not: I would wake up in the middle of the night — not intentionally, just if I happened to wake up — and I’d get out of bed, walk over to my laptop that I had set up on the dresser. I had turned down the keyboard light and the screen brightness so it was dark in the room. I’d bump the brightness up just enough so I could see it, but not too bright. I’d check on the agents and, if I didn’t already have a prompt running, I’d give them something else to do. Usually I did. Then I’d dim the screen again and go back to bed. That’s how bad it got.
Tyson Mutrux (03:57.00)
So I absolutely get what they’re talking about with the “AI vampire” or “Dracula” idea. It got pretty bad for me, too.
Tyson Mutrux (04:05.00)
Let’s keep going in the clip, because there are some consequences to this as you might imagine.
Tyson Mutrux (04:10.00)
Marc says:
Tyson Mutrux (04:12.00)
“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.
Tyson Mutrux (04:28.00)
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. They’re clearly not taking care of themselves.”
Tyson Mutrux (04:46.00)
Okay, so as I said, there are consequences. I’m sure those of you watching can see I’ve got some bags under my eyes that I haven’t always had. I can tell you from experience, I’ve felt the exhaustion. It has hit me.
Tyson Mutrux (04:59.00)
The last few days I’ve dialed it back and rested a bit, and the bags under my eyes are not nearly as bad — mostly under my right eye. My left eye doesn’t look as rough now. But I have definitely felt the exhaustion.
Tyson Mutrux (05:12.00)
Over the weekend, I took it pretty easy. I didn’t really do a whole lot. I’ve noticed the difference. Yesterday I even took a nap, which I don’t do on weekdays. I am not a weekday nap person. Maybe on a Saturday during college football season, I might nod off, but taking a nap on a weekday is very out of the ordinary for me. And I did it.
Tyson Mutrux (05:32.00)
So this whole exhaustion thing he’s describing — it’s real. I understand people looking terrible, feeling exhausted. I bet I looked a lot worse a few days ago because I hadn’t backed off yet.
Tyson Mutrux (05:44.00)
Let’s keep going with the clip. It’s a three‑and‑a‑half‑minute video, and we’re about a minute in, but it’s really interesting.
Tyson Mutrux (05:52.00)
He continues:
Tyson Mutrux (05:54.00)
“And they’re absolutely ecstatic because they are able to produce five times, ten times, twenty 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.
Tyson Mutrux (06:10.00)
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.
Tyson Mutrux (06:25.00)
So he’s got AI jukeboxes, security cameras, robot dog pets, smart fridges — every conceivable thing you can imagine. And he keeps a running tally. In his spare time he has generated 500,000 lines of code just by working with AI. And he’s one of these AI vampires.
Tyson Mutrux (06:41.00)
Now he’s got the digital music jukebox system of his dreams to let him experience music the way he’s always wanted…”
Tyson Mutrux (06:51.00)
Let’s stop that again for a moment. I’ve been the same way — home stuff, work stuff, all these projects. I had this running list of things I’ve wanted to do that, until recently, were just not possible unless you had a massive army of people. They were not cost‑effective. Now, it’s just, “Let’s implement this. Boom. Let’s implement that. Boom.”
Tyson Mutrux (07:09.00)
Click a few buttons, prompt an agent, and boom — training finished, workflows built, content created. All these different things get done.
Tyson Mutrux (07:18.00)
I’ve used this simple example before, but it’s a great illustration: I’m a habitual screenshot taker. I’ve got years’ worth of screenshots sitting on my desktop. It was a mess. I didn’t want to go in and manually organize them. I had Claude do it. It sorted them into folders by topic — around a dozen topics — and now, if I need a screenshot from a deposition or a particular project or some financial thing, I can just go to the right folder and find it. It’s a small thing, but it’s really important when you need something fast.
Tyson Mutrux (07:43.00)
If I wanted to, I could go another step and say, “Rename these files based on what they are,” and it would probably do that too. That just popped into my head — maybe I’ll go do that next.
Tyson Mutrux (07:52.00)
Right now, AI is especially powerful for idea people. If you have an idea, you can just go implement it. You can “implement the damn thing” by typing some words into a box and telling the system to go do it. It’s really that simple. It’s amazing. We can get so much done now.
Tyson Mutrux (08:09.00)
Let’s keep going in the clip, because I want to make a reference to something he said earlier that I think is really the real window into the future.
Tyson Mutrux (08:17.00)
Marc says:
Tyson Mutrux (08:19.00)
“This is just one of the projects he’s done. And this is what the companies are seeing too. In the leading‑edge tech companies, the coders that are using AI — the estimate right now is that they’re 20 times more productive than they were before they started using AI.
Tyson Mutrux (08:33.00)
They’re generating 20 times more output per hour. And you think logically, what does that mean? If there’s only a limited amount of software people want in the world, then you’re going to get mass unemployment.
Tyson Mutrux (08:45.00)
But then there’s the elasticity effect, which is: 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.
Tyson Mutrux (08:58.00)
Every company I know has a thousand things they’ve wanted code for that they’ve never been able to get to. Those are the projects that never make the cut or aren’t cost‑effective…”
Tyson Mutrux (09:10.00)
Let’s pause there for a second. I think in law firms you’re going to see the exact same thing. You’re going to see a massive improvement in everything — or at least you should. If you’re in the Maximum Lawyer community, in the Association, you should be thinking, “We need to improve everything.” Because if you don’t, your competition will, and they’re going to out‑compete you.
Tyson Mutrux (09:29.00)
You’ll see improvement in marketing, intake, operations, litigation — across the board.
Tyson Mutrux (09:37.00)
Let me give you a political example that’s not about left vs. right but is really fascinating. If you look at the Los Angeles mayoral race, you’ve got three candidates. One of them, Spencer Pratt, has been using AI to create campaign ads. Those ads have been really impressive, and you can see that in his numbers.
Tyson Mutrux (09:53.00)
Since he started rolling out the AI‑generated ads, there’s been a massive spike in his popularity. Karen Bass might still beat him, but the way it works there, if no one gets 50%, there’s a runoff. The way it looks right now, it’s probably going to be Karen Bass versus Spencer Pratt.
Tyson Mutrux (10:08.00)
It’s interesting because he’s able to compete at a much higher level with less money and less initial name recognition. She’s the incumbent. It appears that she’s running a more “traditional” campaign — lots of money into TV ads, billboards, yard signs, all the usual stuff. He’s using AI to level up.
Tyson Mutrux (10:24.00)
Maybe she’s using AI behind the scenes and I just haven’t seen it, but it doesn’t look like it. What it does look like is someone with fewer resources using AI to close the gap fast. He was at something like 2%, and now he’s within about eight percentage points of her over the span of maybe a month or two — all using AI.
Tyson Mutrux (10:42.00)
You’re going to see the same thing with law firms. Firms are going to level up across the board using AI. I’m already hearing about it with intake, with voice AI, with efficiency inside the firm. On the litigation side, there are things you’re going to be able to do with AI for discovery, for drafting, for scheduling, for communication. On the marketing side, you’re going to be able to do things you did not have access to before — or at least, you couldn’t do them without huge spend and a big team.
Tyson Mutrux (11:10.00)
If you don’t level up, your competitors will. But if you’re listening to this or watching this, I already know you care about leveling up and you’re going to do it.
Tyson Mutrux (11:19.00)
So you’re going to see a massive improvement in legal services. I’d say the quality of legal services has been relatively stagnant for the last couple of decades. That’s going to change substantially over the next few years.
Tyson Mutrux (11:32.00)
All right, let’s finish the clip. There’s about 40 seconds left.
Tyson Mutrux (11:37.00)
Marc says:
Tyson Mutrux (11:39.00)
“Under the old model, they couldn’t do all those projects. Now they can. These companies are ripping out code, releasing products at a far faster rate of speed, adding features much, much faster. They’ve moved into turbo mode.
Tyson Mutrux (11:52.00)
And in fact, what’s happened is coding salaries have correspondingly inflated. The top coders in AI make 50 million dollars a year because they’ve got the silver bullet. They’ve got the philosopher’s stone.
Tyson Mutrux (12:04.00)
Is this sustainable? Not only is it sustainable, it’s going to intensify.”
Tyson Mutrux (12:13.00)
I played that to the very last second for a reason. A few things. First, that last part: it’s going to intensify. I’ve talked before about the “every seven months” idea — that every seven months, capabilities have roughly doubled. Think about where we are now and where we’ll be in seven months. It’s mind‑bending. It’s hard to even comprehend. That’s why they’re trying to build all these data centers everywhere. That’s why you’re seeing that in the news. This isn’t slowing down. It’s going to intensify.
Tyson Mutrux (12:39.00)
Second, when he talks about coders, I want you to translate that to your team. You’re going to have people on your team who are very efficient with AI and make the whole team better, and you’re going to have people who don’t. You’re going to have to make decisions about value, pay, and roles.
Tyson Mutrux (12:54.00)
You’re going to see a reduction in workforces across the board. That’s going to free up capital. The really valuable people — the ones who are making the team better and making your firm super efficient using AI — you’re going to want to keep them and pay them more. You’re going to see an increase in those salaries, and you’re going to see a reduction in workforce for others. That’s really important.
Tyson Mutrux (13:15.00)
Now, I want to go back to something he said at the beginning, because this is the real “window into the future of work.”
Tyson Mutrux (13:22.00)
He talked again about the “AI vampire” and then said:
Tyson Mutrux (13:25.00)
“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 you have them working on.”
Tyson Mutrux (13:36.00)
Right there — the “20 AI coding agents” — that’s the part I want to focus on. That is a window into the future of work.
Tyson Mutrux (13:44.00)
If you have a human in the loop — which, in the legal profession, we should for the foreseeable future — this is what it’s going to look like. And when I say “foreseeable future,” I’m not talking decades. I’m talking months.
Tyson Mutrux (13:56.00)
The near future of work is people managing agents. You’ll say things like, “Where are we on discovery? Let’s check with the agents.” You’ll see, “Okay, these four cases — discovery looks good. Boom. Send it. Hit the button. Next thing.”
Tyson Mutrux (14:11.00)
“Where are we on depositions? Looks like depositions need to be scheduled in these three cases. Boom. Schedule these. Go do it.” You’re managing a fleet of agents, not manually doing each step.
Tyson Mutrux (14:23.00)
You’ll have a service‑of‑process agent that interacts with process servers and checks your e‑filing system to see what needs to be filed to show proof of service. It’ll update the file with documents from your online e‑filing system.
Tyson Mutrux (14:35.00)
You’ll have a medical records agent that sends requests and another that summarizes the records. Your team will be managing those flows rather than doing everything themselves. That’s the future of work.
Tyson Mutrux (14:47.00)
And you might be thinking, “Tyson, we’re not going to need a full team for all of that.” And you’re probably right. That’s the decision you have to make.
Tyson Mutrux (14:56.00)
I talked about this a couple weeks ago when I had a really tough conversation — one I hope my team hasn’t seen — about roles and the future. Do you keep those people and move them into more client‑focused roles — high‑touch, customer service type positions — which is my preference if you can make it work? Or do you eliminate those roles? That’s the tough decision.
Tyson Mutrux (15:18.00)
But that’s where we’re headed: management of agents. The next step after that is agents managing other agents. That’s the natural progression.
Tyson Mutrux (15:27.00)
If you want a window into the future, you just got it. Marc Andreessen is right about a lot of this stuff. He’s rarely wrong when it comes to tech. This is a really good insight into what you can expect.
Tyson Mutrux (15:40.00)
That’s all I have for you this week. Hopefully you got something out of this and enjoyed that video. Any time you can get insight from Marc Andreessen, I highly recommend you listen, because he’s a very smart guy.
Tyson Mutrux (15:53.00)
Make sure you check out BeccasList.co for the best legal vendors — and who to avoid. Also, if you’re interested in the Association, go to MaxLaw.com. And don’t forget to get your tickets to MaxLawCon at MaxLawCon.com. Ticket prices have already gone up and will go up again, so grab yours now.
Tyson Mutrux (16:13.00)
Have a great day.