Dialogue
Is AI Legal Assistance the Unauthorized Practice of Law?
A structured disagreement about UPL doctrine, consumer protection, and the access-to-justice gap — and whether the licensing bar is protecting clients or protecting lawyers.
Every state prohibits the unauthorized practice of law, and no state can quite define it. That unstable combination was tolerable when the marginal UPL defendant was a notario or a document-preparation storefront. It is not tolerable now that tens of millions of people ask general-purpose AI systems legal questions and get fluent, specific, personalized answers. Below, our two standing interlocutors take up the question we hear most from regulators and bar committees alike. As always, The Advocate and The Skeptic are composite positions, not people — each argues the strongest version of a view held widely in the field.
The Advocate
Start with what UPL doctrine is for. The licensing requirement exists because legal advice is credence-good territory: the client cannot evaluate the quality of the advice at the time of purchase, and bad advice can cost them their house, their custody rights, their liberty. An AI system giving individualized legal guidance presents every risk that doctrine targets — plus new ones, like confident hallucination — with none of the accountability infrastructure. No license to revoke, no malpractice coverage, no disciplinary authority, no duty of loyalty. If applying law to an individual’s facts is the practice of law when a human does it, I need to hear a principled reason why the same act performed by software is something else.
The Skeptic
The principled reason is that UPL enforcement has never actually tracked consumer harm — it tracks competitive threat. The empirical record on this is embarrassing: enforcement actions overwhelmingly originate with bars and lawyers, not injured consumers. And the doctrine’s edges have always been arbitrary. A form book is fine; LegalZoom’s software filling in the same form was a jury question in Missouri — see Janson v. LegalZoom.com, 802 F. Supp. 2d 1053 (W.D. Mo. 2011). Meanwhile the actual crisis is undisputed: in the great majority of civil cases involving low-income Americans, at least one side has no lawyer at all. The realistic alternative to AI legal help is not a lawyer. It is nothing.
The Advocate
Access is a real crisis and a bad argument. We do not respond to a shortage of physicians by licensing unvetted diagnosis apps. If the access gap justifies unlicensed practice, it justifies it for humans too, and nobody on your side actually wants to repeal UPL statutes outright. What you want is a carve-out for software, and that carve-out has to answer the accountability question. When a solo practitioner gives negligent advice, the client has a defendant. When a chatbot tells a tenant to withhold rent in a jurisdiction where that forfeits her defenses, who does she sue? The developer will point to its terms of service — the ones that say, in bold, that this is not legal advice.
The Skeptic
She sues nobody today either — people who get their legal information from a search engine or a cousin have no defendant, and we do not prosecute the cousin. But notice that your accountability point is an argument about remedies, not about prohibition. We know how to attach liability to products without requiring the product to have a bar card: consumer-protection law, warranty, negligent misrepresentation. The FTC’s action against DoNotPay over its robot-lawyer marketing claims showed exactly that machinery working — deception remedied as deception, no UPL theory required. And when the bar has tried to use UPL statutes against nonlawyer assistance with real access value, courts have noticed the constitutional problem. In Upsolve v. James, 604 F. Supp. 3d 97 (S.D.N.Y. 2022), vacated and remanded, No. 22-1345 (2d Cir. Sept. 9, 2025), the district court preliminarily enjoined New York from applying its UPL rules to trained nonlawyers giving free, narrow debt-collection advice, treating the advice as protected speech under strict scrutiny. The Second Circuit took the injunction away last September — but on terms that concede my premise: the panel agreed the UPL rules regulate speech as applied to Upsolve’s program, and remanded only over the level of scrutiny. However the remand litigation ends, UPL statutes applied to legal advice are now speech regulations that need justifying, and mechanically extending them to software conversations will force that reckoning at scale.
The Advocate
Upsolve is a slender reed that has since snapped: on remand this spring, the district court applied the intermediate scrutiny the Second Circuit prescribed and let New York’s rules stand. What remains is a case about a carefully cabined program — trained humans, a fixed script, one form, no fee — and even that program ultimately lost its injunction. It is no authority for the proposition that anything a model says about anyone’s legal problem is protected speech. And I would flip your products point: yes, we know how to regulate products, so let us actually do it before deployment rather than after the harm. The professional-responsibility apparatus does real work you are writing off. Confidentiality, conflicts screening, candor duties, the obligation to flag what you do not know — none of that exists in a consumer chatbot, and ABA Formal Opinion 512 exists precisely because these systems fail in ways laypeople cannot detect.
The Skeptic
Formal Opinion 512 governs lawyers using AI, and there the supervision-based framework works fine — treat the model like a nonlawyer assistant under Rule 5.3, verify everything, own the output. The hard question is direct-to-consumer use, and there my claim is institutional: bar committees enforcing vague statutes against their own competition is the wrong regulator with the wrong tool. The better models already exist. Utah’s regulatory sandbox has let nonlawyer providers serve consumers under supervision and data reporting since 2020. Arizona abolished its version of Rule 5.4 and licenses alternative business structures. That is what honest consumer protection looks like: authorization with monitoring, so we learn the actual harm rates instead of presuming them.
The Advocate
Then perhaps we agree more than you think. My position was never that a demand-letter generator is a felony; it is that individualized legal judgment offered to unsophisticated consumers should require someone — a person or an institution — to stand behind it with licensure-grade accountability. If a sandbox delivers that, with audits, disclosure standards, and a fund or insurance requirement behind the advice, I can call that regulated practice rather than unauthorized practice. What I cannot accept is the current default, where the most consequential legal advice channel in the country operates under a disclaimer.
The Skeptic
And I can accept licensure-grade accountability so long as it attaches to the provider, not to the technology — and so long as the accountability regime is not designed by the incumbents it disciplines. Hold the entity to safety benchmarks, hallucination testing, and financial responsibility. Just do not pretend that prosecuting the tool as an unauthorized lawyer helps the tenant who was never going to have a lawyer at all.
The convergence at the end is real, and it mirrors where the state experiments are actually heading: away from the binary question in our title and toward entity-level regulation of legal-services providers, human or otherwise. The unresolved disagreement — whether bars can be trusted to run that regime — is the one to watch as more states take up sandbox proposals this year. We will return to it when the next round of legislation drops.
Filed under Practice of Law , Regulation