ABA Formal Opinion 512: A Plain-English Read for Solo and Small-Firm Lawyers

The ABA's first formal AI ethics guidance is a five-part framework, not a ban or a warning. Here is what it covers, and what lawyers in solo and small-firm practice typically consider when reading it. General information only, not legal advice.

By John Margerison · Sat, 23 May 2026 · 2350 words

Picture this: it's a Tuesday afternoon. A motion is due Thursday, a client intake is at four, and a paralegal mentions she used ChatGPT to draft the first pass on a contract. She wasn't asked to. She wasn't told not to. There is no record of what she typed into the prompt box.

That moment, the one that has not happened yet but probably will, is the kind of situation ABA Formal Opinion 512 was written to address.

On July 29, 2024, the ABA Standing Committee on Ethics and Professional Responsibility issued its first formal opinion on generative AI in legal practice. Fifteen pages. Five model rules. The press coverage mostly reduced it to lawyers must be careful with AI, which is roughly as useful as telling a surgeon to be careful with knives. The opinion is more specific than that, and for solo practitioners and small-firm partners, the specifics are where the work is.

Here is a plain-English walk through what Opinion 512 covers, rule by rule. It is general information about a public ethics opinion. It is not legal advice for any particular firm, jurisdiction, or matter, and it should not be relied on as a substitute for reading the opinion itself, the relevant rules in your own jurisdiction, or guidance from your bar association.

RULE 1.1, COMPETENCE: UNDERSTAND THE TOOL, NOT JUST USE IT

Model Rule 1.1 requires lawyers to provide competent representation, which includes the "legal knowledge, skill, thoroughness and preparation reasonably necessary for the representation." The rule's Comment 8 has long required lawyers to keep up with "the benefits and risks associated with relevant technology." Opinion 512 applies that comment directly to generative AI.

What does that imply in practice? In the opinion's framing, lawyers should not rely on a tool they do not understand well enough to catch its errors. The opinion notes that AI tools can combine otherwise accurate information in unexpected ways to yield false or inaccurate results, and that they are prone to hallucinations, producing plausible-sounding but fabricated content. The news has covered the cases. The opinion's contribution is that knowing about hallucinations in the abstract is treated as insufficient. The expectation is that lawyers understand the specific tool they are using: how it was trained, what its known failure modes are, and whether its outputs require verification before they are relied on.

A question lawyers sometimes ask themselves: if the AI tool used last week produced a wrong answer, would I have caught it? If the honest answer is maybe not, that is a competence gap the opinion suggests should be closed.

The California State Bar's November 2023 Practical Guidance, which Opinion 512 cites approvingly, adopts a reasonable-efforts standard and a fact-specific approach to technological competence. The framing is useful for solos. The expectation is not to become an AI engineer. It is to understand the tool well enough to supervise its output, to know what it gets wrong, how often, and in what contexts. For a solo doing family law in a state with a well-defined statutory framework, that might mean learning that a drafting tool has a training cutoff that predates a recent statutory amendment. For a solo doing federal immigration work, it can mean knowing that AI tools frequently confuse agency guidance with binding regulation.

The practical floor: read the tool's documentation, understand its data cutoff, and verify every citation it produces.

RULE 1.6, CONFIDENTIALITY: INFORMED CONSENT IS NOT A CHECKBOX

This is the rule that generates the most discussion, and Opinion 512 is most specific here.

The duty of confidentiality under Rule 1.6 covers "all information relating to the representation of a client, regardless of its source." Before any such information is input into a generative AI tool, the opinion directs lawyers to evaluate the risks that the information will be disclosed to or accessed by others outside the firm.

The opinion draws a line that a lot of summaries miss. It distinguishes between two categories of AI tools: those that are self-learning (meaning they train on user inputs and could surface that information in responses to other users) and those that are not. For self-learning tools, the opinion's conclusion is that a client's informed consent is required before inputting information relating to the representation into such a tool. It is framed as a requirement, not a soft recommendation.

Here is how informed consent is typically described under the rules: it is not a boilerplate clause buried in an engagement letter. The ABA's own commentary on Opinion 512 makes clear that boilerplate consent in engagement letters will not be adequate. Informed consent under Rule 1.0(e) requires that the client be given "adequate information and explanation about the material risks of and reasonably available alternatives to the proposed course of conduct." In plainer terms: the client needs to be told, in terms they understand, that a tool is being used that may process their information, what that means for their data, and asked for their actual agreement.

Lawyers reading the opinion sometimes ask what a compliant disclosure might look like in practice. Examples in published commentary tend to look something like a sentence added to the engagement letter, and explained verbally at intake, noting that the firm uses AI-assisted drafting and research tools, that some of those tools may process information shared with the firm, that steps are taken to use tools with strong data-security protections, and that the client should raise any concerns so alternatives can be discussed. That is not a template to copy. It is a sketch of what published commentary often describes. State bars vary, and individual matters vary. Any disclosure language for an actual firm should be reviewed by counsel licensed in the relevant jurisdiction.

The Florida Bar's Ethics Opinion 24-1, approved January 19, 2024, requires lawyers to take reasonable precautions to protect the confidentiality of client information, and specifically calls for lawyers to investigate AI providers' data retention, sharing, and self-learning policies. In practice that often means reading the terms of service, or at minimum understanding whether the tool offers a data-privacy mode or enterprise agreement that prevents inputs from being used for training.

One practical shortcut commonly noted in the commentary: many AI tools now offer a no-training or private mode. Enabling that mode does not eliminate any disclosure obligation, but it does reduce the risk profile that triggers the consent requirement in the first place.

RULE 1.4, COMMUNICATION: WHEN DOES THE CLIENT GET TOLD?

Opinion 512 addresses this more carefully than most summaries suggest. The rule requires lawyers to keep clients reasonably informed and to explain a matter to the extent reasonably necessary to permit informed decisions.

The opinion does not treat every AI-assisted task as triggering disclosure. The framework leaves room for AI use in internal idea generation, research organisation, or administrative work that does not involve inputting client-specific information. The trigger is when AI use is material to the representation, particularly when it involves client data, significantly shapes the work product, or when the client would reasonably want to know.

The NYC Bar's Formal Opinion 2024-5 frames it well: the question is whether the client would consider the information significant in deciding how to proceed. A client who hired a particular lawyer for that lawyer's judgment and expertise might reasonably want to know if the first draft of a contract was generated by an AI tool rather than written by the lawyer. That is a conversation worth having proactively rather than defensively.

RULES 5.1 AND 5.3, SUPERVISION: STAFF AI USE IS THE LAWYER'S EXPOSURE

Back to that Tuesday afternoon. A paralegal used ChatGPT on a client contract. Under Rules 5.1 and 5.3, that becomes the supervising lawyer's ethical exposure, not the paralegal's.

Opinion 512 is direct on this point: managerial lawyers should establish clear policies regarding the firm's permissible use of GAI, and supervisory lawyers should make reasonable efforts to ensure the firm's lawyers and nonlawyer staff comply with the Rules of Professional Conduct. For a solo with one paralegal, the managerial and supervisory roles are both the same person.

The opinion treats AI tools used by nonlawyer staff the same way it treats any nonlawyer assistance. The lawyer is responsible for the work product and for ensuring the staff member's use of the tool does not violate client confidentiality or produce unreviewed output that goes to a client or court. The Florida Bar's Opinion 24-1 treats AI tools similarly to non-lawyer assistants under Rule 4-5.3(a), requiring proper supervision.

What does supervision look like in a two-person office? Commentary tends to converge on a written policy, even a one-page document, that specifies which AI tools are approved for use, what client information may or may not be entered into those tools, and that all AI-generated work product is reviewed and verified by the supervising attorney before it goes anywhere. The staff member knows the policy, has acknowledged it, and understands that an AI told me so is not a substitute for the lawyer's own judgment.

This is the documented-policy expectation the opinion creates. It does not require a forty-page compliance manual. It implies something written, communicated, and followed.

RULE 1.5, FEES: THE EFFICIENCY PROBLEM IS REAL

This is the rule that will create the most friction as AI becomes standard practice, and Opinion 512 takes a clear position.

For hourly billing, the opinion's framing is straightforward: bill actual time. The opinion notes that GAI tools may give lawyers a faster and more efficient way to render legal services, but that lawyers who bill clients an hourly rate must bill for their actual time. If AI allows a motion to be drafted in fifteen minutes that used to take two hours, the bill reflects fifteen minutes of drafting time plus the lawyer's review time. Not two hours.

The opinion also addresses flat fees. If AI compresses the work so dramatically that a flat fee set under pre-AI assumptions is now wildly disproportionate to the time and effort involved, the opinion's framing is that the fee may no longer be reasonable under Rule 1.5. The opinion's framing is direct: if using a GAI tool lets a lawyer complete tasks much more quickly than without the tool, charging the same flat fee may be unreasonable under Rule 1.5.

Two more billing points from Opinion 512 that solos often miss. First, time spent learning how to use a generally-applicable AI tool typically cannot be billed to a single client. That tends to be treated as overhead. The exception is narrow: if a client specifically requests the use of a particular AI tool for their matter, learning that specific tool may be billable. Second, if the cost of a proprietary AI tool is passed through as an expense, the basis for that charge should be explained to the client, preferably in writing, and consent obtained.

The practical implication discussed in commentary: engagement letters can be updated to address AI costs. The question of whether an AI subscription is overhead or a pass-through is best decided once and documented.

THE DOCUMENTED-POLICY EXPECTATION: WHAT IS TYPICALLY IN WRITING

Opinion 512 does not use the phrase written policy as a formal requirement, but the supervision obligations under Rules 5.1 and 5.3 functionally point in that direction. If a lawyer is ever asked to demonstrate reasonable efforts to ensure compliance, a written policy is the most readily available evidence.

For a solo or small firm, AI-policy documents discussed in published commentary tend to cover five things: (1) which tools are approved for use and for what tasks; (2) what client information may be entered into those tools and under what conditions; (3) the consent and disclosure process for clients; (4) the verification requirement for all AI-generated work product before it goes to a client or court; and (5) how AI time and costs are handled in billing. One page. Kept with the office manual. Updated when a new tool is added.

That document is not bureaucracy. It tends to be described as the firm's evidence of reasonable efforts.

WHAT THE OPINION DOES AND DOES NOT DO

Opinion 512 is not a prohibition. It is a framework. The ABA's own summary notes that it is too early to claim GAI tools are required for competent representation, but it is equally clear that using them without understanding them, without client consent where required, and without supervision policies in place creates an ethical risk.

The opinion has not gone uncontested. Some commentators, including analyses published by Thomson Reuters, have argued that it conflates retrieval-augmented legal research tools with general-purpose generative AI and is too prescriptive in places. Reasonable readings differ. The points above describe how the opinion frames itself, not the only view of how AI ethics in legal practice should be governed. A solo or small-firm lawyer making decisions on AI use is better served reading the opinion plus the commentary plus their own state bar's guidance, then forming a position with counsel where the stakes warrant it.

The lawyers most likely to have problems are not the ones using AI. They are the ones using it without process, letting staff run client data through consumer tools without consent, billing two hours for work that took twenty minutes, and having no written record of any of it.

A reasonable starting list for any lawyer reading the opinion this week: read the terms of service on every AI tool currently in use and determine whether it is self-learning. Consider adding a plain-language AI disclosure to the engagement letter and getting client consent before inputting client information into self-learning tools. Consider writing a short AI use policy and reviewing it with any staff. Audit billing practices so AI efficiency gains are reflected in invoices. Consider one CLE course on AI in legal practice through your state bar.

None of that is legal advice. It is a summary of the kinds of steps a lawyer reading Opinion 512 might consider. Whether any of it applies to a particular practice, in a particular jurisdiction, with particular clients and matters, is a question for that lawyer's own judgment and, where useful, for counsel.