Law firm leasing hit a record 7.3 million square feet in Q2 2026, according to Cushman and Wakefield's Legal Sector Leasing Trends report. The figure exceeded the previous quarter by 23% and the same quarter last year by 27%, driven largely by Am Law 100 firms - a data point that collides with predictions that AI would shrink law firm footprints and headcounts.
"Law firms remained focused on growth, with expansion activity reaching its highest share since 2019 and downsizing activity continuing to decline," the Cushman report found. Meanwhile, revenues grew 12.4% in the first half of the year and demand rose 4.8%. Associate salary scales and bonuses are climbing. Partner compensation can top $40 million.
None of this aligns with the prevailing narrative that AI would replace young lawyers, kill the billable hour, and empty out offices.
The gut instinct problem
There is a difference between trusting your gut and relying on data. A trial lawyer learns this - sometimes the hard way. A client who seems impressive and credible can get discredited by mock jurors in minutes, not because of anything he said, but because of assumptions about his industry. The data surfaced what instinct missed.
A similar collective instinct has formed around AI and the future of law: fewer lawyers, remote work as the norm, the billable hour's demise. But hard data keeps suggesting otherwise.
What the numbers actually show
If AI were replacing the need for lawyers, square footage would be shrinking, not growing 17% year-over-year. Fewer bodies mean fewer offices. Fewer offices mean less rent and more profit. The same logic applies to remote work - more people working outside the office would reduce space needs.
If AI were doing the work young lawyers used to do, billable hours and revenue should decrease, not increase. Compensation should be heading down, not up. Instead, demand grew 4.8% and jobs in the legal market are increasing.
Three possible explanations
Possibility one: the prediction was wrong. The AI doomsday scenario assumes demand for legal services stays flat or drops. That may not hold. The Jevons paradox suggests efficiency can increase consumption. New legal issues - product liability claims against social media companies, for instance - create fresh demand that didn't exist before.
Possibility two: law firm resilience was underestimated. Law firms have absorbed supposedly disruptive change for decades without letting it disrupt what they care about. E-discovery was going to upend litigation economics. Firms adapted. Cloud computing, data analytics, remote work - firms adapted each time. The billable hour has been declared dead repeatedly. It keeps returning.
The business model resists change. A rainmaker with $10 million in business has more influence than firm management's restructuring plans. In-house counsel, themselves lawyers, are risk-averse and reluctant to dictate how outside firms operate. Clients say they want more AI use but don't demand it. Firms buy AI tools and then don't use them.
Possibility three: the changes haven't happened yet. Given the profession's slow pace of adoption, the predicted transformation may simply be further out. Law firms could also find ways to use AI without exploding their business model - just as they adapted to every technology shift before this one.
As Jimmy Buffett put it in "Mañana," there's a danger in describing an ocean when you haven't seen it. Maybe AI is different. But the data right now tells a different story than the one the echo chamber keeps repeating.
Why this matters for legal professionals
The gap between prediction and data carries real consequences for career decisions. Associates weighing whether to stay in law, partners considering office leases, and legal ops teams evaluating AI for Legal all benefit from looking at what law firms are actually doing rather than what commentary says they should be doing. Firms are expanding, hiring, and paying more - not contracting. For paralegals navigating how AI fits into document review and case prep, an AI Learning Path for Paralegals can help build skills that complement, rather than replace, the work firms continue to value.
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