Legal AI Will Create More Work—But Not for Lawyers

Jan de Vries · 2026-08-17

Every wave of generative AI produces the same two headlines: "AI is destroying the industry" and "actually, AI is creating more work for the industry." Whether it's graphic designers, developers, or copywriters, the debate plays out the same way across sectors. Legal is no exception. But here's the thing: the legal industry is a perfect test case because it's one of the first professional fields where specialized, workflow-specific AI has matured enough to show real usage data, not just speculation. And guess what? The data suggests the legal sector's use of AI doesn't map neatly onto either of those typical headlines. ## The Jevons Paradox in Action Let's start with the obvious point: cheaper, faster legal AI tools don't just replace existing legal work—they unlock new legal work that wouldn't have been possible before. This is classic Jevons Paradox: when a resource becomes more efficient to use, consumption goes up, not down. More contracts get reviewed, more clauses get flagged, more compliance questions get asked, simply because the cost of asking has collapsed. Think about it like this: when email made communication free, we didn't send fewer messages. We sent way more. The same logic applies here. Legal work that was once too expensive to even consider is now viable, which means the volume of legal tasks is exploding. ## The System Is Changing This is where Box CEO Aaron Levie is completely correct in his recent argument for why AI means more legal work, not less. Where I think his argument breaks down is in his conclusion about who will fulfill that new demand. His argument is essentially historical. Legal headcount has grown alongside every previous wave of workplace technology. He references American Bar Association figures showing US attorney numbers climbing from roughly 400,000 in 1975 to over 1.37 million by the end of 2025. He argues AI extends that same curve because courts remain a bottleneck, and more AI-generated disputes and filings will require more lawyers to adjudicate them. That's a reasonable extrapolation if you assume the demand created by AI will be fulfilled using the same pipelines and frameworks as before. For example, generalist AI tools like Claude and Copilot feeding an unchanged system of law firms and courts. But that's not what I'm seeing play out. The demand isn't hitting a static system. Instead, it's hitting a legal market that's simultaneously being restructured by specialized, workflow-native tools built specifically for legal tasks like contract review, due diligence, and compliance checks. These tools don't just add capacity to the existing pipeline—they change the pipeline itself, and who owns it. ### Companies Don't Have to Outsource Legal Work Anymore Legal has, for decades, been outsourced as a default. Large corporations paid big law firms premium hourly rates for work that was often mechanical and replicable. It was the classic "you need a lawyer for everything" model, even when the task was just scanning documents for keywords. Large law firms have traditionally relied on fresh graduates to scan documents, review cases, and compile summaries and arguments. That work, which once took days, can now be done in minutes—perhaps seconds! When a task that used to bill 20 hours now takes 20 minutes, the economics of outsourcing collapse. Here's what that means in practical terms: - Law firms are being forced to reconsider the hourly billing model because clients know the actual cost of the work has dropped dramatically - Companies can handle more legal work in-house, reducing reliance on outside counsel - The value proposition shifts from "hours spent" to "outcomes achieved" This is a structural shift away from law firms, not toward more of them. It's the same shift we've watched happen in every domain where specialized AI tooling matures faster than the incumbent service can adapt. ## Where the New Demand Actually Lands: In-House Teams Levie's framing focuses on the courtroom. And sure, courts are a genuine bottleneck that AI hasn't touched. But here's the reality: most company legal work will never reach a courtroom. It's contract review, policy checks, claims processing, and compliance monitoring. These are high-volume, rules-based, and repetitive tasks that have historically been expensive precisely because they required human attention. Take insurance claims handling. The process follows a standard pattern: review a policy, check the claim against the coverage terms, and determine what's payable. That's a workflow that AI can handle with remarkable accuracy, and it's the kind of work that used to keep entire departments of paralegals busy. ### The Bottom Line AI will absolutely create more legal work—but the people doing that work won't be traditional lawyers at traditional firms. They'll be in-house teams using specialized tools to handle legal matters directly. The firms that survive will be the ones that adapt their business models, not the ones that stick to hourly billing and hope the wave passes. For companies, this is an opportunity to take control of their legal function. For lawyers, it's a wake-up call to evolve. Either way, the legal industry is being rebuilt from the inside out, and the change is happening faster than anyone expected.