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Writing a Generative AI Policy for a Law Firm
A law firm generative AI policy is a written set of rules covering which AI tools lawyers and staff may use, what client information can go into them, how every output must be checked, when clients must be told or asked for consent, and what training is required.
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Overview
It matters because the professional duties of competence, confidentiality, supervision and candor apply to AI-assisted work just as they apply to anything else a lawyer signs.
Deep Dive
Most firm policies now build on ABA Formal Opinion 512, issued in July 2024. It applies existing professional rules to generative AI rather than creating new ones. State bars have issued similar guidance, including Florida Bar Ethics Opinion 24-1 and practical guidance from the State Bar of California.
A workable policy usually has these sections: Scope and definitions: who is covered (lawyers, staff, contractors) and what counts as generative AI, including AI features built into familiar software.
Approved tools: a list, plus a process for approving new tools that includes a review of the vendor's data handling.
Confidentiality: rules on which categories of information may go into which tools. Opinion 512 says lawyers generally need a client's informed consent before entering confidential information into a self-learning tool that could expose it to others.
Verification: a lawyer is responsible for every output. Citations must be read and checked in the original source. In Mata v. Avianca (2023), lawyers were sanctioned after filing a brief with cases ChatGPT had invented.
Client communication: when to tell clients about AI use, and how to follow client guidelines that restrict it.
Billing: Opinion 512 says hourly billing must reflect time actually spent. Lawyers generally should not bill clients for time spent learning a tool they will use across their practice.
Supervision: partners' responsibilities for associates and staff under Model Rules 5.1 and 5.3.
Court rules: tracking standing orders on AI disclosure.
The remaining sections cover required training, how to report incidents, and a review schedule, because tools and guidance change quickly.
A common misconception is that banning AI outright is the safest choice. A ban often pushes people toward personal accounts the firm cannot see or control, which increases confidentiality risk.
Strategic Impact
Build choices
Application-level design determines whether AI improves real outcomes.
Team and workflow
Good workflow integration creates productivity gains users can trust.
Risk and safety
Well-scoped use cases reduce change fatigue and implementation risk.
The Future of Writing a Generative AI Policy for a Law Firm
Guidance from bars and courts is still changing, and it varies by jurisdiction. A firm policy should therefore name an owner and set a review date instead of claiming to be final. Clients increasingly address AI in outside counsel guidelines, sometimes asking for efficiency gains and sometimes restricting use. That pushes firms to track AI use matter by matter. Court disclosure requirements vary and may be standardized over time, but that is not certain. As AI features appear inside word processors, email and research platforms, the question 'is this an AI tool?' gets harder to answer. Policies may need to focus on categories of data and the duty to verify rather than on lists of product names.
Real-World Implementation
The approved-tools list allows an enterprise research tool, whose contract bars training on inputs and limits data retention, for client work. Consumer chatbots are allowed only for non-confidential tasks such as outlining a marketing article.
A verification rule requires that every case citation in an AI-assisted filing be read in the original source and checked with a citator before filing. The reviewing lawyer records that check in the matter file.
Before uploading a client's merger documents to a tool that may keep inputs, the firm gets the client's informed consent. It also checks the client's outside counsel guidelines, some of which restrict or ban AI use.
A litigation group keeps a list of judges' standing orders that require lawyers to disclose or certify AI use in filings. The policy tells lawyers to check the list before filing anything.
Risks & Guardrails
Automating a broken process can amplify existing problems.
Teams may over-automate and remove needed human judgment.
Quality can drift if outputs are not continuously evaluated.
Implementation Roadmap
Map the current workflow and identify the highest-friction step.
Define human checkpoints before full automation.
Train users on prompts, escalation paths, and quality standards.
Track task-level outcomes to confirm sustained value.
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Frequently asked questions
What is Writing a Generative AI Policy for a Law Firm?
A law firm generative AI policy is a written set of rules covering which AI tools lawyers and staff may use, what client information can go into them, how every output must be checked, when clients must be told or asked for consent, and what training is required. It matters because the professional duties of competence, confidentiality, supervision and candor apply to AI-assisted work just as they apply to anything else a lawyer signs.
Which ABA opinion, issued in July 2024, applies existing professional rules to lawyers' use of generative AI?
ABA Formal Opinion 512 addresses generative AI through existing duties such as competence, confidentiality, communication, fees and supervision. Florida's 24-1 is a state bar opinion.
Under Opinion 512, when do lawyers generally need a client's informed consent?
The opinion says informed consent is generally needed before confidential information goes into a self-learning tool that could reveal it outside the client relationship.
What does Opinion 512 say about billing clients when AI is used?
Hourly billing must reflect time actually spent. Learning a tool the lawyer will use generally is overhead, not a charge to one client.
What does a policy's verification section typically require for citations in an AI-assisted filing?
A lawyer must personally confirm that each authority exists, says what the filing claims, and is still good law. Asking the tool to check itself is not verification.
Why does a firm check a client's outside counsel guidelines before using AI on that client's matter?
Clients increasingly address AI in their outside counsel guidelines. Some require efficiency and others restrict use, so the firm must follow each client's terms.
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