In the same way that you cannot compete against Ford at making cars without capital because Ford used their capital to automate manual labor at prices and speeds you'll never be able to reach.
"Intellectual" jobs, that require thought were yet spared, as the only way to use capital for that was just to pay for more meat: see Accenture, CapGemini, IBM, etc. You could carve yourself a spot for some people because it was hard for this capital to reach them. Now that AI, a literal machine that automates thought, is here, the costs for reaching bumfuck nowhere to take the clients away from you has dropped drastically for them, but not for you. They get economies of scale, already established patterns, tools, internal databases. You're starting with hopes, dreams and a $20 Claude sub that runs out at 10AM.
There is not infinite need for lawyers, there being more lawyers does not create more legal opportunities and cases past a certain point, and you're then dependent on other things like there being enough judges.
Robots transformed capital into manual actions and killed most manufacturing jobs save for precious few experts or things that are too expensive to automate still. AI will transform that capital into intellectual labor and crush you, take all opportunities away from you.
Actually there is effectively infinite demand for legal services, in the same way that there is effectively infinite demand for software. In highly regulated industries like healthcare we're constantly backlogged on legal capacity. It's not just "cases" but contract review, sales negotiations, customer documentation, regulatory affairs, civil enforcement activities, etc. Current LLMs are helpful for basic tasks like preliminary legal research and drafting documents but they still make frequent errors and can't carry out complex workflows lasting months that depend on high-context human relationships. Better automation would be a huge unlock to accelerate these business activities.
The price for legal work going down might very well create more demand, including for people operating "law machines". Not sure we know where future equilibria lie.
One recent comment from my interviews was that people who use AI are using it for tasks in domains they didnt deal with before. So this would be creating dashboards or writing sql queries. Or reading and reviewing contracts.
The “easy stuff” for someone’s job, is now the AI stuff for someone else’s job. Where you would hire an intern, the potential client is using Claude instead.
The issue is that this breaks the talent / growth pipeline. You can’t have experts if they don’t go through the process of getting trained and working on incrementally harder problems.
> The “easy stuff” for someone’s job, is now the AI stuff for someone else’s job. Where you would hire an intern, the potential client is using Claude instead.
And what happens when the SQL query has some subtle error or is missing data?
With interns, there’s an implicit understanding that you will spend a bit of extra time reviewing their work and mentoring them. With “just AI it bruh,” there is not.
Demand for law related things isn't elastic. In fact, in an increasingly unemployed, AI first future, work law is a dead end, contract law is a dead end, and there will not be "AI law" jobs created.
"Price go down means more demand" applied blindly is a an economic theory so absurdly shit that even the most apeshit libertarians like Ayn Rand know it isn't true. Don't make me defend Ayn Rand.
Labor law will be hit more by widespread use of robotics, but I can envision a much larger market for contract disputes and transactional law. Having AI in both sides doesn’t mean people won’t disagree about stuff.
What is an "AI first future"? Infinitely capable robots and AI? All current laws and regulations suddenly gone or changed?
Why would there be less demand for contract law or for privacy related law, for example? There is certainly some elasticity in law related things from my own experience.
Where have I applied elasticity blindly?
> Demand for law related things isn't elastic.
Of course it is. When someone is thinking of suing someone else the first thing that gives them pause is the potential legal costs.
Which hasn't changed, because the company you would have sued that was spending 200k on a lawyer is now spending 500k worth of tokens to spend the next consecutive 300 hours without sleep to find out that you took an unauthorised 5.1 minute shit on April 23 at 3PM by reviewing every single hour of camera footage and establishing a physical movement map of MAC addresses based on proximity to the WiFi relays they put every 10 meters.
You. Cannot. Win. Against. Capital.
And then you're going to sue, and realize that the system is so massively overloaded that the next available judge and jury are in 32 years. Also they're lobbying to replace those with AI judges where they entirely removed the concept of nuance.
If AI eats law, then AI must also eat judgement (either judge or jury) for the bulk of cases.
Could see the future being AI arguments -> AI judgement -> appeal to human judge/jury
With the appeal to humans being expensive (human lawyers required?) or volume-barred in some manner.