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2026 Guide

Law Firm AI Policy Template and Governance Checklist

A law firm AI policy should define where artificial intelligence may assist legal work, what information may enter an AI system, who reviews its output, and how the firm documents accountability. This practical template translates core governance questions into a policy worksheet that firm leaders can adapt with ethics counsel. It is informed by ABA Formal Opinion 512, but it is not legal advice and does not replace applicable state rules, court orders, client requirements, or a tool-specific security assessment.

Updated October 22, 2026 · AttorneyCore Editorial Team

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A practical buyer guide

A practical AI governance template and implementation checklist for U.S. law firms.

Start with the duties identified in ABA Formal Opinion 512

ABA Formal Opinion 512, issued July 29, 2024, explains that lawyers using generative AI must consider existing professional duties, including competence, confidentiality, client communication, supervision, meritorious claims, candor to tribunals, and reasonable fees. The opinion does not create a universal technology checklist, and individual jurisdictions may impose additional requirements.

A firm policy should therefore function as an operational control rather than a promise that a tool is automatically ethical or compliant. Each approved use still requires professional judgment, matter-specific review, and attention to governing court and client rules.

Template section 1: purpose, scope, and ownership

Define the policy's purpose and the people it covers. Include partners, associates, contract lawyers, paralegals, intake staff, administrators, and vendors who may use AI for firm work. Name a policy owner and a backup owner responsible for tool review, training, incident escalation, and scheduled reassessment.

State that AI assists—but does not replace—legal judgment. No employee should treat generated text, citations, summaries, calculations, classifications, or predictions as authoritative without appropriate review.

  • Policy owner: identify the responsible partner or governance committee.
  • Covered users: list employees, contractors, vendors, and temporary staff.
  • Covered systems: include public chatbots, embedded assistants, document tools, transcription systems, and vendor AI features.
  • Review cycle: set a recurring review date and an event-driven review after material vendor or regulatory changes.

Template section 2: approved tools and permitted uses

Maintain a central register of approved AI tools. For each tool, document its owner, contract status, data-retention settings, training-data terms, access controls, approved data classifications, and permitted tasks. Approval for one workflow does not imply approval for every workflow.

Examples of bounded uses may include drafting an internal outline from non-confidential instructions, restructuring attorney-authored text, or summarizing records inside an approved matter workspace. High-impact decisions, final legal advice, filing decisions, conflict determinations, trust transactions, and unsupervised client communications should remain outside autonomous AI authority.

Tool / FeatureOwnerPermitted DataApproved UsesRequired ReviewNext Review
Approved drafting assistantKnowledge partnerMatter data only under approved termsInternal first draftsResponsible attorney verifies every material statementQuarterly
Public consumer chatbotNot approvedNo client or matter informationGeneral experimentation onlyDo not use for firm workBefore any proposed use
Meeting transcription toolOperations leadApproved meetings with required notice/consentDraft internal notesMeeting owner checks transcript and accessSemiannual

Template section 3: confidentiality and data handling

Before entering information into an AI system, users should determine whether the tool and proposed use are authorized for that data. The policy should prohibit placing confidential, privileged, personal, health, financial, or sealed information into unapproved systems.

Require a documented vendor assessment covering retention, secondary use, model training, access by subcontractors, encryption, deletion, breach notice, and administrative controls. Removing a client's name may not be sufficient if the remaining facts can identify the client or matter.

  • Use the minimum information necessary for the approved task.
  • Apply matter and tenant access controls to saved prompts, outputs, and attachments.
  • Do not copy privileged content into personal accounts or public AI services.
  • Escalate suspected disclosure, misdirection, or unauthorized retention through the firm's incident process.

Template section 4: attorney review, accuracy, and court submissions

The responsible lawyer should verify factual statements, quotations, calculations, authorities, record citations, and procedural requirements before using AI-assisted work. Review intensity should rise with the potential consequence of an error.

For court submissions, require the filing lawyer to confirm every cited authority in an authoritative source, examine applicable standing orders and local rules, and make any required disclosure. An AI-generated citation is not evidence that an authority exists or supports the stated proposition.

  • Identify the reviewer by name or role before work begins.
  • Compare summaries against the source record, not another generated summary.
  • Verify quotations and citations in authoritative legal sources.
  • Record material corrections or recurring failure patterns for training and tool review.

Template section 5: clients, supervision, and billing

Define when lawyers must discuss AI use with clients and when informed consent may be required. The answer can depend on the engagement, the information involved, the degree of reliance, client instructions, and applicable law. The policy should route uncertain situations to the responsible attorney or ethics counsel rather than using a blanket disclosure statement.

Supervising lawyers should train staff on approved tools and monitor compliance. Billing policies should distinguish actual professional time from automated processing and ensure fees remain reasonable. Firms should not bill fictional hours that were not worked simply because a manual process would have taken longer.

Implementation checklist for firm leadership

A written policy becomes useful only when the firm can apply and audit it. Use this checklist during adoption and each scheduled review:

  • Inventory every AI-enabled product currently used by lawyers and staff.
  • Suspend unreviewed tools from firm work until an owner completes the assessment.
  • Publish the approved-tools register and prohibited-data rules in an accessible location.
  • Train users with matter-specific examples and require acknowledgement of the policy.
  • Add attorney-review checkpoints to drafting, research, client communication, and filing workflows.
  • Create a simple escalation path for questionable output or suspected data exposure.
  • Review state ethics guidance, court orders, client outside-counsel guidelines, and engagement terms.
  • Reassess tools and policy language on a scheduled basis and after material product changes.

Evaluating governed AI workflows in AttorneyCore

AttorneyCore's AI Co-Pilot and drafting workflows are designed to produce reviewable text rather than autonomous legal decisions. Availability depends on the workspace plan and a configured provider, and attorneys remain responsible for reviewing output before use.

During a guided demo, evaluate access controls, the source material available to the assistant, provider configuration, saved output handling, and the review steps your firm would require. Confirm that the proposed configuration matches your own policy and vendor-assessment standards before using client information.

Before you decide

Frequently asked questions

Does every law firm need a written AI policy?

A written policy is a practical way to communicate approved tools, prohibited data, review duties, and escalation procedures. Whether a particular firm is legally required to maintain one depends on its jurisdiction, clients, contracts, regulators, and the tools it uses.

Can lawyers enter confidential client information into an AI tool?

Not automatically. Lawyers must evaluate their confidentiality duties and the tool's terms, retention, security, access, and training practices. A firm policy should prohibit confidential or privileged information in unapproved tools and require matter-specific authorization where appropriate.

Who is responsible for errors in AI-generated legal work?

The lawyer remains responsible for the professional work. AI output should be treated as unverified material that requires appropriate factual, legal, citation, and source-record review before reliance or distribution.

Must a lawyer tell clients when AI is used?

It depends on the circumstances and applicable duties. Material uses, client instructions, confidentiality risks, engagement terms, or reliance on AI rather than the lawyer's own judgment may require communication or informed consent. Firms should obtain jurisdiction-specific ethics advice instead of relying on a universal disclosure rule.

Can a law firm bill clients for AI-assisted work?

Fees and expenses must remain reasonable and comply with the engagement agreement and applicable rules. Firms should bill actual professional work and appropriately disclosed expenses, not invented hours based on how long a manual process might have taken.

A practical next step

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