Writing a Law Firm AI Policy for a NJ Solo Practice: What to Actually Put in the Document

If you're a solo attorney in New Jersey using AI tools, even occasionally, you probably don't have a written policy for it. That's not a criticism; most solos don't. But the absence of one is quietly creating problems that tend to surface at the worst possible time: a client complaint, a bar inquiry, or a data breach notification.

A law firm AI policy isn't a compliance document you file and forget. Done right, it's a short, working reference that tells you (and any staff or contract lawyers you bring in) exactly how AI tools fit into your practice. Here's what that document actually needs to cover.

Start With Scope, Not Platitudes

The first mistake attorneys make when drafting any internal policy is leading with aspirational language. Skip it. Open with a plain-language scope statement that answers two questions: which tools does this policy cover, and who does it apply to?

"AI tools" is too vague. Name them. If you use Clio Duo, Harvey, ChatGPT, CoCounsel, or a general-purpose LLM for any client-related task, list them. If your intake form runs through an AI-assisted questionnaire tool, that's in scope too. The reason specificity matters here is that NJ RPC 5.1 and 5.3 both hinge on supervision of the actual work being done. You can't supervise what you haven't identified.

If you have a paralegal, a part-time associate, or a virtual assistant, your policy must explicitly state that it applies to them. Staff using AI on client matters without a framework is a supervision problem you own.

Define Permitted and Restricted Uses

This is the operational core of the document. Break it into two columns if it helps, but the goal is a clear line between what's allowed and what requires extra scrutiny or is off-limits.

Permitted uses for most NJ solo practices will include things like: drafting initial research memos for attorney review, generating first-draft routine correspondence, summarizing deposition transcripts, and creating document checklists. These are tasks where the attorney reviews the output before anything leaves the office.

Restricted uses, meaning tasks that require documented attorney review before the output is acted on, should include: filing-ready court documents, client-facing legal advice, any output containing citations to case law or statutes, and communications involving settlement terms. The reason you want these flagged rather than banned outright is practical: AI tools can legitimately help with all of them. The issue is that these are the categories where hallucinations cause real harm and where your RPC 3.3 candor obligations are directly at stake.

Outright prohibited uses should be narrow but firm. Running confidential client data through a consumer AI tool that doesn't have a Data Processing Agreement or equivalent vendor contract in place is the clearest example. The NJ Advisory Committee on Professional Ethics has not issued a comprehensive opinion on AI use as of this writing, but ACPE Opinion 723 on cloud computing makes clear that attorneys must take reasonable steps to ensure confidentiality when using third-party technology services. A blanket prohibition on non-vetted tools handling client data is the defensible position.

Address Data Handling Directly

Your policy needs at least one paragraph that tells anyone using AI tools in your practice exactly what they can and cannot input. The practical standard: if the information would identify a client, describe their matter, or contain privileged communications, it doesn't go into any tool that lacks a signed vendor agreement with confidentiality protections.

This isn't about paranoia. It's about the fact that many AI tools, including some legal-specific ones, use query data to improve their models unless you've affirmatively opted out or signed an agreement that prohibits it. If a staff member pastes a client's financial records into a general-purpose chatbot to summarize them, you've potentially waived confidentiality protections. Your policy should make that scenario impossible through clear instruction, not just hope.

Build In a Verification Requirement

Every AI output that gets used in a client matter needs attorney review. That's not controversial. What most policies omit is how that review should be documented.

A simple approach: require a short notation in the client file any time AI-assisted work product is finalized. Something like "AI draft reviewed and revised by [attorney] on [date]" in your case management notes is enough. This practice creates a trail that demonstrates the supervision your RPCs require and gives you something concrete to point to if a question ever arises about how a document was prepared.

Keep It Short and Revisit It Annually

A solo practice AI policy doesn't need to be 20 pages. Two to three pages covering scope, permitted and restricted uses, data handling rules, and a verification requirement is sufficient. What matters more than length is that it actually reflects how your tools work today.

Plan to revisit it every twelve months, or whenever you add a significant new tool. The AI products available to small NJ firms are changing fast enough that a policy written in early 2024 may not account for tools you're running in late 2025. A dated revision log at the top of the document makes that easy to track.

If you want a starting framework, the ABA's Formal Opinion 512 (issued in 2024 on generative AI) is worth reading alongside whatever your current vendor agreements actually say. The gap between those two documents is usually where your policy needs to do the most work.