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An agentic AI model can carry out a bounded sequence of legal-work tasks—such as finding documents, extracting clauses, summarizing authorities, or preparing a draft—by using software tools and passing results from one step to the next. It does not become a lawyer, and it cannot take responsibility for legal judgment.
The American Bar Association’s Formal Opinion 512, issued July 29, 2024, discusses generative AI (GAI) broadly rather than defining or testing agentic systems specifically. Its practical message is still directly relevant: a lawyer must understand a tool’s capabilities and limits, protect client information, check accuracy and completeness, supervise the work, and make the professional decisions that affect the client.
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What “agentic AI” means in a legal workflow
“Agentic” describes a workflow pattern, not a separate category of legal authority. Instead of answering one prompt and stopping, an agentic system may break a stated objective into subtasks, call a search or document tool, inspect the result, decide what step to attempt next, and produce a consolidated output. The exact degree of automation varies by system and configuration.
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That distinction matters because Formal Opinion 512 is an ethics opinion about generative AI. It describes GAI as technology that creates new content—including text, images, audio, video, and software code—in response to prompts and questions. It names legal research, contract review, transaction due diligence, document review, regulatory compliance, technology-assisted review in e-discovery, contract analytics, and drafting as possible uses. It does not establish that an autonomous or agentic product is reliable, safe, or authorized to exercise independent legal judgment.
What Formal Opinion 512 establishes—and what it does not
The opinion applies the ABA Model Rules of Professional Conduct as amended through August 2023. It is professional-ethics guidance, not a technical evaluation, product certification, or nationwide replacement for a state bar’s rules. The ABA notes that the technology is changing quickly and anticipates additional guidance.
| Question | What the opinion supports | What it does not establish |
|---|---|---|
| Permitted use | GAI may support research, review, due diligence, compliance work, e-discovery, analytics, and drafting. | It does not approve a particular product or guarantee a particular result. |
| Agentic behavior | General duties concerning competence, supervision, confidentiality, communication, candor, and professional judgment still apply when software chains steps. | It does not define “agentic AI” or separately endorse autonomous legal decisions. |
| Accuracy | A lawyer must understand limitations and assess whether output is accurate and complete for the assignment. | It provides no accuracy percentage, adoption rate, or time-saving statistic. |
| Client disclosure | Client communication and consultation can be required depending on the circumstances; Model Rule 1.4 addresses consultation about the means used to accomplish the client’s objectives. | It does not say that every AI use must be disclosed to every client. |
| Geographic scope | The ABA Model Rules provide a useful professional framework. | They do not eliminate jurisdiction-specific rules, court orders, or later guidance. |
Use the opinion as a framework for responsible practice, not as evidence that any particular workflow is legally sufficient. A lawyer handling a matter in a particular state, court, or regulated industry must check the rules and guidance that apply there.
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How an agentic legal workflow typically operates
1. Find and organize information
The system can search a permitted collection, classify documents, extract metadata, group near-duplicates, or identify passages that match a question. In e-discovery, this resembles technology-assisted review: software helps sort a large document set so a legal team can focus attention where it is most useful.
Generated summaries and citations are starting points, not authorities. A citation can be incomplete, misread, or attached to the wrong proposition. The reviewer should open the underlying opinion, statute, regulation, filing, or contract and confirm that the source actually says what the output claims.
2. Review contracts and matter documents
An agent can locate defined terms, obligations, renewal dates, liability caps, change-of-control language, governing-law clauses, or missing exhibits. It can compare provisions against a playbook and produce a list of deviations for counsel.
Extraction is not the same as interpretation. A clause may depend on a definition elsewhere, a schedule, a recital, a side letter, or a fact not present in the document. Human review must compare the extracted result with the complete record and determine whether the tool’s answer is reliable and complete for the assignment.
3. Support due diligence and compliance work
For a transaction or regulatory project, the workflow can organize requests, map documents to issues, identify apparent gaps, and draft a question list. It may also compare policies with a supplied requirement set and flag text that needs attention.
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A flag is not a legal conclusion. Counsel must determine whether the requirement applies, whether an exception exists, and what evidence is sufficient. An agent that reports “no issue found” may simply have missed a document or failed to understand an exception.
4. Draft or revise text
GAI can prepare a first draft of a letter, contract language, brief section, chronology, or internal memorandum. An agentic version might gather facts, apply a template, insert citations, and produce several alternatives.
The draft is work product to examine, not legal authority to accept automatically. Before external use or filing, a responsible lawyer should check every material assertion, qualification, citation, defined term, cross-reference, and requested remedy. The lawyer—not the model—decides what position to take and accepts responsibility for the communication.
5. Chain steps under supervision
Chaining can save attention on repetitive operations: retrieve a source, extract a passage, compare it with a rule, and place the result in a report. The more consequential the chain, the more important it is to define its boundaries. A system should have access only to the matter data and tools needed for the assignment, and the team should be able to tell what it did and which sources it used.
Automation does not remove supervision duties. A lawyer should know what the system is allowed to do, what assumptions it makes, what happens when a tool fails, and where a human must approve the next step.
Where human review is indispensable
| Workflow output | Human check | Why the check matters |
|---|---|---|
| Search results or a document classification | Sample results, inspect misses and false positives, and confirm that the collection and search question were appropriate. | Incorrect scope or classification can hide responsive material or waste review time. |
| Case, statute, or regulation summary | Open the primary source and verify the quotation, holding, date, jurisdiction, and limits. | A fluent summary can still omit a qualification or cite the wrong authority. |
| Contract extraction | Compare each extracted item with the full agreement, schedules, amendments, definitions, and related documents. | Meaning often depends on text outside the paragraph the model selected. |
| Due-diligence issue list | Check whether the issue is material, whether an exception applies, and whether missing evidence has been chased. | A flag is an investigative lead, not a finding. |
| Draft letter, brief, or agreement | Review facts, law, logic, tone, requested relief, qualifications, cross-references, and filing requirements. | The lawyer remains accountable for work sent to a client, opposing counsel, agency, or court. |
| Client or confidential data handling | Confirm the tool’s data terms, access controls, retention behavior, and permitted use of matter information. | Improper disclosure can create confidentiality and professional-responsibility problems. |
These are practical controls derived from the duties discussed in the opinion; they are not a quoted ABA checklist. Their purpose is to connect review intensity to the risk of the task.
Competence: what a lawyer needs to understand
Competence is not satisfied by knowing that a tool can generate polished prose. The lawyer needs a reasonable working understanding of the system’s capabilities and limitations, and that understanding must be refreshed as the technology changes. For an agentic workflow, that includes the individual model and the surrounding orchestration: retrieval sources, permissions, prompts or instructions, handoffs between steps, and the conditions that stop or continue execution.
- Define the task. State the question, jurisdiction, date range, document set, and expected form of output.
- Define the source of truth. Specify which databases, files, pleadings, contracts, or official publications the system may use.
- Define forbidden behavior. Prevent unsupported citations, invented facts, unsupervised external messages, or changes to the matter record without approval.
- Define escalation points. Require a lawyer to review uncertain classifications, material deviations, adverse authority, privilege questions, and anything intended for an external recipient.
- Keep a reviewable record. Preserve the relevant inputs, source documents, generated output, and material human edits when the matter requires that level of traceability.
These controls do not make an output correct. They make it easier to detect an error before it becomes advice, a negotiation position, or a court filing.
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Confidentiality and client information
Before entering matter information, assess how the system handles it. Questions include where data is processed, who can access it, how long it is retained, whether it is used to improve a service, whether files are isolated by customer or matter, and how the firm can delete or retrieve records. The applicable confidentiality duties and engagement terms govern the decision; a convenient interface is not evidence that disclosure is permissible.
Use the minimum information needed for the task. Where practical, separate identifying details from the text being analyzed, restrict access by matter, and avoid placing privileged or highly sensitive material into a service whose terms have not been reviewed. If the workflow connects to a document repository, email account, docket, or practice-management system, review those permissions as carefully as the model itself.
Client consultation depends on the circumstances. The ABA’s framework addresses communication with the client, including reasonable consultation about the means used to accomplish the client’s objectives, but it does not impose a blanket rule that every AI use must be disclosed. Consider the client’s instructions, the sensitivity of the information, the significance of the task, the engagement terms, and the rules in the relevant jurisdiction.
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Human review should be designed around the failure modes of the assignment, not reduced to a quick read for grammar. A useful verification sequence is:
- Check the scope. Confirm that the system received the complete and correct document set, including amendments, attachments, exhibits, and relevant correspondence.
- Check the authorities. Open every material citation in an official or otherwise authoritative source. Confirm the court or agency, date, citation, quotation, procedural posture, and whether later authority limits the proposition.
- Check the facts. Compare names, dates, amounts, defined terms, and chronology with the underlying record. Mark facts the system inferred rather than extracted.
- Check omissions. Ask what the output did not mention: exceptions, adverse authority, unfavorable facts, missing signatures, conditions precedent, or unresolved requests.
- Check meaning. Read surrounding text and related provisions. Ensure that a summary has not changed a qualification, standard of proof, obligation, or remedy.
- Check the conclusion. Decide whether the legal analysis follows from the verified sources and facts. Do not let confidence of presentation substitute for reasoning.
- Record approval. Identify the lawyer who reviewed the result and what was approved for delivery, filing, or further work.
If a model produces a nonexistent case or an inaccurate quotation, do not silently repair only that line and assume the rest is sound. Recheck the surrounding output and the process that generated it. A citation error is evidence that broader verification may be necessary.
Supervision, candor, and external work
Delegating a step to software does not delegate professional responsibility. A supervising lawyer should set the task, select an appropriate tool, provide instructions, review the result at a level proportionate to the risk, and intervene when the system behaves outside its authorized scope.
Candor obligations are especially important in court work. A generated filing must comply with the court’s rules, standing orders, and any local requirements concerning authorities, representations, or technology use. The lawyer must not present invented law, altered quotations, unsupported facts, or an analysis that has not been checked. If a jurisdiction imposes a particular disclosure or certification requirement, follow that requirement; do not assume the ABA opinion resolves it.
The same principle applies to opposing counsel, clients, agencies, and business teams. An agent may prepare a message, but a lawyer should approve the substance, recipient, attachments, and timing before transmission. External automation that can send messages, alter records, or make commitments deserves a higher approval threshold than an internal draft.
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Choosing a workflow approach
The ABA opinion does not rank products or compare competing agentic systems. A practice can compare workflow designs using criteria that reflect the legal task and professional duties:
| Criterion | Questions to ask |
|---|---|
| Task scope and complexity | Is the task a narrow extraction, a multi-document analysis, or a conclusion that could materially affect a client? |
| Traceability | Can the reviewer see the source passage, intermediate steps, assumptions, and final edits? |
| Confidentiality and data handling | Are matter data, retention, access, and deletion practices compatible with applicable duties and client instructions? |
| Human approval | Which steps require a lawyer’s sign-off, and can the system technically enforce that pause? |
| Failure recovery | What happens when a source is unavailable, a tool returns an error, or the model is uncertain? |
| Jurisdictional fit | Does the workflow accommodate local court rules, professional guidance, and the governing law of the matter? |
For a low-risk internal classification, sampling may be an appropriate control. For a dispositive motion, a client advice letter, or a filing, the lawyer should expect source-level verification and direct approval of the final work. The right review level follows from the consequences of an error, not from whether the system calls itself an agent.
A practical implementation plan
Start with a bounded pilot
Select a repeatable task with a defined document set and a measurable human review process, such as extracting renewal clauses from a closed set of agreements. Do not begin by granting broad access to every matter repository or allowing automatic external communication.
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Document the permitted sources, prohibited data, user roles, escalation triggers, retention expectations, and approval points. State who owns the final decision and how errors are reported.
Test against known material
Use documents whose relevant answers are already known to the legal team. Compare the system’s output with the record, including missed items and false positives. Treat this as an internal quality check, not as a universal accuracy claim; performance on one matter does not establish performance on another.
Train the reviewers
Reviewers should know how to inspect citations, recover source passages, recognize unsupported inferences, and report a failure. They should also know the confidentiality and client-communication rules that govern the matter.
Approve before expansion
Only after the team understands the workflow’s limitations should it consider broader matter types, additional tools, or more automation. Revisit the assessment when the model, connected data source, terms, or applicable rules change.
Common failure modes and responses
The output is fluent but unsupported
Return to the source record. Separate verified statements from inferences, remove unsupported language, and check whether the same generation process produced other questionable assertions.
Best Value
The agent missed a document or clause
Confirm the collection, indexing, file formats, access permissions, search terms, and extraction instructions. Use a human sample or an independent search to test the claimed completeness.
The summary changed a qualification
Compare the summary with the full provision or authority, restore the omitted condition, and review related sections that may have been affected by the same simplification.
Confidential information was entered without approval
Stop the workflow, preserve relevant records, notify the responsible privacy or ethics contact, and follow the firm’s incident and client-notification procedures. Do not assume that deleting the prompt resolves retention or access questions.
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The system attempted an unauthorized action
Revoke the unnecessary permission, inspect what the system accessed or changed, and require explicit human approval for that action in future runs. An agent should not be allowed to send, file, amend, or commit on behalf of a lawyer merely because it can technically do so.
Keeping the framework current
Formal Opinion 512 is dated July 29, 2024 and reflects Model Rules through August 2023. The ABA describes the technology as rapidly evolving. Before relying on the framework for a specific matter, check current state and local guidance, court rules, client instructions, engagement terms, and the tool’s current data practices.
No national ethics opinion can replace matter-specific judgment. The durable rule is narrower and more useful: use automation for bounded assistance, understand how it works well enough to supervise it, verify material output against authoritative sources and the record, protect client information, and ensure that a responsible lawyer makes and owns the legal judgment.
A lawyer’s pre-delivery checklist
- Is the task within the system’s authorized scope?
- Did it use the complete and correct source material?
- Have material citations, quotations, facts, and calculations been checked?
- Were omissions, exceptions, adverse authority, and uncertainty considered?
- Was confidential information handled under applicable duties and instructions?
- Did a responsible lawyer review and approve the external work?
- Does the result comply with the governing jurisdiction’s rules and any court requirements?
- Can the team explain what the system did and recover if an error is discovered?
That checklist does not turn an agent into counsel. It keeps the workflow in its proper role: an assistive process whose speed or reach may be useful, but whose output remains subject to human professional judgment.
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