

The posts keep coming. "AI will replace lawyers." Sometimes it's a warning, sometimes barely concealed delight. And maybe eventually, in some narrow sense, it will. But that's not what I'm seeing right now, in the middle of transactions, across the table from founders and investors who understand AI far better than most of my colleagues do.
What I'm actually seeing is more interesting.
Here is something I find particularly telling about my practice: our technology clients, especially in venture and growth-stage companies, understand AI better than we do. They have built with it, deployed it, watched it fail in production. They are not naive about what it can and cannot do.
And yet they call us. Not despite their AI fluency, but because of it.
The smartest founders and investors I work with know exactly where AI breaks down: in novel fact patterns, in cross-border complexity, in situations where precedent is thin and judgment has to fill the gap. They are not looking for a lawyer to generate a first draft or recite the standard market terms — they can get that themselves. They are looking for someone to poke holes in the conclusions they have already reached. To tell them where their AI-assisted analysis is wrong, where the deal structure carries risk they have not priced, where the governance provision they accepted looks fine until it does not — like the drag-along that seemed standard until it gave a single investor effective blocking power at the worst possible moment.
That is the job now. And it requires more sophistication, not less.
And to the founders bragging online about closing their latest round without legal counsel — I understand the impulse. Capital is scarce and legal fees are easy to second-guess. But those public posts celebrating the decision tend to become Exhibit 1 for a plaintiff's attorney the minute something goes wrong. As we say in Miami: lo barato cuesta caro. The cheap thing costs the most in the end.
There is a useful distinction that gets lost in the replacement narrative: AI is not a wisdom machine. It is a leverage machine. It compresses time, scales output, and automates what was previously rote. What it cannot do is replace the judgment that comes from having been in the room when a deal went sideways, from understanding what a particular investor will actually enforce versus what they put in the term sheet, from knowing that a clean cap table matters more at this stage than a favorable liquidation preference.
Wisdom — the kind accumulated through experience, pattern recognition, and the particular discipline of having been wrong and learning from it — compounds in value as AI handles everything else. The market is not going to pay for mechanical legal work much longer. It is going to pay, and pay well, for judgment applied in situations where the cost of being wrong is high.
And here is where I practice what I preach. I am a lawyer with a fine pedigree and over twenty years of practice. I still hire lawyers for my personal matters — real lawyers, for areas outside my expertise. Yes, I use AI to engage with their advice, to stress test their thinking, to inform myself. But at the end of the day, I am willing to pay out of my own pocket for help in matters where I don't have expertise. Why? Because I know what I don't know. That, more than any credential or years of experience, is the true hallmark of wisdom. Not confidence in your knowledge, but clarity about its limits. And that clarity is precisely what AI, left to its own devices, does not have. The wisest founders I work with share that same self-awareness. They are not the ones bragging online about replacing their lawyers. They are the ones calling me.
Legal costs will come down. I think that is straightforwardly good. Clients should not be paying for mechanical work at partner rates, and much of what has historically commanded premium legal fees is work that AI can now perform competently.
What will be left — what AI cannot yet commoditize — is the art of it. Reading a room. Knowing when to push and when to concede. Structuring a deal that gets to close instead of dying in negotiation. Advising a founder through a moment of real uncertainty with something more than a recitation of standard terms.
The money clients spend on lawyers in the AI era will be money better spent. Less of it, spent on things that actually require a human being with judgment, training, and some scar tissue.
That is not a threat to the best lawyers.
It is a long overdue repricing of what they were always actually worth.
Lizbeth Flores is a corporate partner at PAG Law PLLC, where her practice focuses on cross-border technology, venture capital, and M&A. She has been named by Latinvex as one of Latin America’s Top 100 Female Lawyers.
Disclaimer: This publication is provided by PAG Law PLLC for general informational purposes only and does not constitute legal advice or create an attorney-client relationship between PAG Law and the reader. The content reflects the views of the author as of the date of publication and may not reflect subsequent developments in law, regulation, or policy. Readers should not act or refrain from acting on the basis of any information contained herein without seeking professional legal counsel tailored to their specific circumstances and jurisdiction. PAG Law expressly disclaims all liability with respect to actions taken or not taken based on any or all of the contents of this publication. This material may be considered attorney advertising in some jurisdictions.
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