NJ's New AI Ethics Guidance Is a Wake-Up Call for Solo and Small Firm Lawyers

If you're a solo practitioner or a partner in a small New Jersey firm who has been casually using ChatGPT to draft motions or summarize discovery, it's time to get serious about how you're doing it — not just whether you're doing it.

The New Jersey Supreme Court's Advisory Committee on Professional Ethics (ACPE) has joined a growing number of state bar bodies making clear that AI use in legal practice falls squarely within existing professional conduct obligations. Under RPC 1.1 (Competence) and RPC 1.6 (Confidentiality), New Jersey lawyers aren't operating in a vacuum when they fire up a general-purpose AI tool. They're making professional decisions with ethical consequences.

Here's the practical reality most small firms are ignoring.

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The Confidentiality Problem No One Talks About Clearly Enough

When you paste a client's name, matter details, or case facts into a consumer AI tool — even briefly, even to "just draft something quick" — you may be transmitting confidential information to a third-party system with its own data retention and training policies.

Under RPC 1.6, New Jersey lawyers must make "reasonable efforts to prevent the inadvertent or unauthorized disclosure of, or unauthorized access to, information relating to the representation of a client."

The word reasonable is doing a lot of work there.

Using a free-tier AI tool with default data retention settings likely does not meet the "reasonable efforts" standard — particularly when enterprise or privacy-configured alternatives exist. Tools like Microsoft 365 Copilot (with a qualifying commercial tenant), Clio Duo, or even a properly configured ChatGPT Team or Enterprise account offer contractual data protections and zero-retention commitments that free tiers simply do not.

The fix is not complicated, but it does require a decision. Audit every AI tool your firm currently uses. Identify whether it has a signed Data Processing Agreement (DPA) or Business Associate Agreement (BAA) where applicable. If it doesn't, stop using it for client matters until it does.

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Competence Means Understanding the Tool, Not Just the Output

RPC 1.1's competence obligation has been interpreted nationally — and increasingly in New Jersey — to include technological competence. This isn't just about knowing how to use a tool. It means understanding its limitations well enough to catch its failures.

AI hallucination is real and documented. A model can confidently cite a case that does not exist. It can misstate a statute. It can produce a brief that reads authoritative but contains a subtle legal error that would embarrass a first-year associate.

The competence obligation means you are the last line of defense — and that requires active verification, not passive trust.

A practical framework for NJ practitioners:

1. Never submit AI-drafted legal citations without Westlaw or Lexis verification. Every single one. No exceptions.
2. Treat AI output like a first draft from an eager but unreliable law clerk. It needs supervision, not just proofreading.
3. Document your verification process. If a disciplinary matter ever arises, showing that you had a workflow is meaningful.

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What Small NJ Firms Actually Need: A One-Page AI Policy

Larger firms have legal ops teams drafting AI governance policies. You don't — and that's fine, because you don't need 40 pages. You need one clear page that addresses:

• Approved tools (and under what terms)
• Prohibited uses (e.g., inputting PII or client identifiers into unapproved tools)
• Verification requirements before any AI-generated content is filed or sent to a client
• Client disclosure standards — specifically, when and how clients will be informed that AI was used in their matter

That last point is increasingly important. While New Jersey has not yet mandated blanket disclosure of AI use, the trend in client expectations and emerging ethics opinions nationally is clear. Getting ahead of it is good practice and good business.

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The Bottom Line

New Jersey's ethics framework wasn't written with AI in mind, but it applies to AI with full force. The lawyers who will thrive in this environment aren't the ones who use AI the most — they're the ones who use it responsibly and systematically.

A five-minute efficiency gain that creates a confidentiality exposure or a filed brief with a fabricated citation is not a win. It's a liability.

Build the workflow. Vet the tools. Write the policy. Your license — and your clients — are worth it.

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Adam Elias is the founder of Elias Advisory LLC, helping solo lawyers and small law firms adopt AI confidently, protect client data, and build more efficient practices.