For two years the loudest question about AI in legal was whether it would put lawyers out of work. A new study from Paragon Legal suggests the market has already answered, and the answer is more interesting than the fear implied. AI is not erasing the value of legal talent. It is repricing it, and the premium is going to the people who know how to use it.
The clearest signal is in how legal departments now hire. Seventy percent list AI fluency as a formal hiring requirement, and 95 percent either require or prefer it. In the span of a couple of years, fluency with these tools has moved from a nice-to-have to a condition of employment.
Fluency is now table stakes, and it pays
It also pays. Hiring managers told Paragon they would pay a premium for lawyers who pair deep subject-matter expertise with genuine AI fluency, and that AI has made that kind of specialization more valuable, not less. Paragon's chief executive, Trista Engel, summed up the pattern in a line worth sitting with: AI is increasing the leverage of experienced attorneys, not replacing them.
Read that through the lens of your own team. The skills that now command a premium are learnable. A firm can go to the open market and pay up for them, competing against everyone else chasing the same scarce, fluent hires. Or it can build those skills in the people it already employs. The second path is faster and cheaper, and it does something the first cannot: it raises the value and the loyalty of the staff you already trust, rather than betting on a stranger.
That is one of the things Adjuria does. Beyond the platform, we work directly with firms and legal departments to raise their teams' AI fluency, so the expertise the market is now paying a premium for gets built inside your walls rather than rented from outside them. We can train your staff to use legal AI well, which is a very different thing from handing them a chatbot and hoping.
The productivity question is largely settled
There is a persistent piece of fear, uncertainty, and doubt that deserves to be retired: the claim that AI creates more work than it saves, because someone has to check and fix everything it produces. The Paragon data does not support it. Sixty percent of attorneys said AI has made them more efficient. Only 8 percent reported that it added complexity or cost them time. When the ratio runs better than seven to one, the burden of proof shifts to the skeptic.
Here is the part the study could not capture, because it was not testing for it. Most of those respondents were almost certainly working with general-purpose tools, the same consumer and enterprise chatbots everyone already has open. If commodity tools produce a result that lopsided, consider what happens with tools built for the work. AI Associate runs output through multi-model quality checks and citation verification, drafts in your firm's own voice, and automates the review steps that eat an associate's afternoon. Sixty percent is the floor, not the ceiling. Purpose-built systems are where the larger gains live.
Standing still is the expensive option
It is tempting, especially for a cautious profession, to treat all of this as someone else's experiment and wait for the dust to settle. The study is an argument against exactly that. Only 13 percent of attorneys said they do not use AI tools at all. Adoption is no longer the frontier, it is the baseline. The firm that opts out is not holding a neutral position. It is choosing to recruit from a shrinking pool, to bill more hours for the same work than its competitors, and to explain to clients why its people are slower. That small group of holdouts has the most to lose, and it shrinks every quarter. The distance between the firms that have embraced AI and the ones still debating it will not stay small, and it does not close in your favor by waiting.
The pay story is mostly about upside
It would be dishonest to call AI pure good news for every practitioner. Five percent of attorneys in the study said they had been asked to accept lower pay because of AI, and while 72 percent reported no such pressure, the direction of even that small number is worth taking seriously. But the far larger signal points the other way. The market is paying more for fluency, not less, and the firms applying downward pressure on rates tend to be the ones treating AI as a way to do the same work cheaper rather than better work faster.
That distinction is where Adjuria's economics come in. Our platform tracks the time and cost it saves in real terms, and our consulting helps firms translate those gains into modernized billing models. The goal is not to shrink salaries to match a lower cost of production. It is to raise profitability per employee, so the savings show up as stronger margins and the room to pay well for the specialized, AI-fluent people the market now rewards. AI should make your best people more valuable to you, and better paid for it, not cheaper to replace.
Paragon's study is a snapshot of a profession that has stopped asking whether AI belongs in legal work and started pricing the people who are good at it. The advantage is concrete, and it is already being handed out. It is going to the practitioners who build fluency and the firms that give them tools worth being fluent in. Both are things you can start on now, and both are things we can help with.
Talk to us about raising your team's AI fluency, and the value that comes with it.