What the SC Supreme Court AI Policy Means for Your Law Firm

In March 2025, the South Carolina Supreme Court issued its Interim Policy on Generative Artificial Intelligence. If you are an attorney practicing in South Carolina, this policy applies to you. And if you have not read it carefully, you are already behind.

The policy is not long. It is not buried in legalese. But it does create specific obligations that many firms have not yet addressed — and the gap between what the court expects and what most practices are actually doing is wider than it should be.

Here is what the policy says, what it means in practice, and where the real compliance opportunity sits for law firms in Charleston and across the state.

What the Policy Actually Requires

The SC Supreme Court's interim policy focuses on a few core principles. Attorneys who use generative technology in their practice must:

• Verify all output. Any content generated by these tools — whether research, drafting, or analysis — must be reviewed and confirmed by the attorney before it is submitted to the court or relied upon in client matters. The attorney remains fully responsible.
• Disclose use when appropriate. If generative tools were used in the preparation of filings or legal documents, attorneys may be required to disclose that fact. The court wants transparency.
• Protect client confidentiality. Inputting client data into third-party tools raises serious ethical concerns under Rule 1.6. Attorneys must ensure that confidential information is not being exposed through tool usage.
• Maintain competence. Under Rule 1.1, attorneys have an obligation to understand the tools they use — including their limitations. "I did not know it could hallucinate" is not a defense.

This aligns directly with ABA Formal Opinion 512, which provides national guidance on the same issues. The message from both the ABA and the SC Supreme Court is consistent: these tools are not banned, but their use comes with real professional responsibility obligations.

Where Most Firms Are Falling Short

The conversation in most law firms has centered on one question: "Can we use ChatGPT for legal research?" That is the wrong question — or at least, it is far too narrow.

The compliance gap is not just about research and drafting. It is about the entire operational layer of a law practice. Most firms are spending so much energy worrying about whether they can use generative tools for substantive legal work that they are ignoring the administrative overhead that is eating their capacity every single day.

Consider what a typical Charleston law firm deals with on a daily basis:

• New client intake calls that go to voicemail after hours
• Scheduling back-and-forth that takes three emails to resolve
• Document collection that stalls because the client forgot to send their records
• Follow-up reminders that nobody has time to send
• Consultation confirmations that get missed
• Review requests that never go out after a case closes

None of these tasks involve legal judgment. None of them require a JD. And none of them fall under the scope of the Supreme Court's interim policy, because they are not generative in nature — they are operational.

The Safe Zone: Operational Automation

This is where the distinction matters. The SC Supreme Court's policy targets generative tools used for legal analysis, research, and drafting — work product that directly impacts case outcomes and client representation.

Operational automation is a different category entirely. Automating your intake process, your appointment scheduling, your document collection reminders, your post-consultation follow-ups — these are workflow systems, not generative tools making legal judgments.

This distinction is critical because it reveals an opportunity that most firms are missing. While they debate whether to allow associates to use generative tools for research memos, the phones keep ringing after hours with no one to answer. Potential clients keep falling through the cracks. Document collection keeps stalling.

The firms that are pulling ahead in Charleston are not the ones pushing the boundaries of what generative tools can do in legal practice. They are the ones that have automated the operational work that was never a good use of attorney time in the first place.

What This Looks Like in Practice

Client intake. A potential client calls at 7:30 PM on a Tuesday. Instead of hitting voicemail and calling the next firm on their list, they get an immediate response — a text or guided intake flow that captures their basic information, the nature of their legal need, and their availability for a consultation. By the time the office opens Wednesday morning, that lead is already in the system with details attached.

Scheduling. Instead of a paralegal spending 20 minutes going back and forth on email to find a consultation time, the client gets a link to book directly into available slots. Confirmation and reminder messages go out automatically. No-show rates drop.

Document collection. The client who was supposed to send their financial records two weeks ago gets a polite, automated reminder. Then another three days later. The attorney does not have to remember to follow up. The system handles it.

Post-engagement follow-up. After a matter closes, the client receives a thank-you message and a review request. If they had a good experience, they leave a Google review. If they know someone who needs legal help, there is a clear path to refer.

Every one of these workflows keeps attorneys focused on what they are trained and licensed to do — practice law. And none of them raise the ethical concerns that the Supreme Court's policy addresses.

ABA Opinion 512 Reinforces the Point

ABA Formal Opinion 512 is clear that attorneys must exercise competence and diligence when using technology in their practice. But the opinion is also clear that the duty of competence includes staying current with technology that can benefit clients and improve practice management.

In other words, the ethical obligation runs in both directions. Attorneys who refuse to adopt any technology — who let intake calls go unanswered, who lose clients to slow follow-up, who waste hours on scheduling that could be handled automatically — are not necessarily on safer ethical ground. They are just inefficient.

The question is not whether to use technology. It is which technology to use, and where. The SC Supreme Court has drawn a clear line around generative tools used for legal work product. Everything on the operational side of that line is open ground.

What Charleston Law Firms Should Do Now

If you run a law firm in South Carolina, here is a practical framework:

1. Read the interim policy. Actually read it. It is short and specific. Know what it covers and what it does not.
2. Separate your generative use from your operational use. If you are using tools for research or drafting, build a compliance protocol: verification, disclosure, confidentiality safeguards. If you are automating intake, scheduling, and follow-ups, you are in a different category — treat it accordingly.
3. Audit your operational gaps. How many intake calls go unanswered after hours? How long does scheduling take? How often do document requests stall? How many former clients never get asked for a review or referral? These are the areas where automation delivers immediate ROI without touching the ethical boundaries of the Supreme Court's policy.
4. Build the systems. The firms that act on this now will have a structural advantage over the ones still debating whether associates can use ChatGPT. Operational efficiency compounds. Every month you wait is another month of lost leads, wasted hours, and missed referrals.

Where We Come In

At Holy Automation, we build operational automation systems for professional service firms — including law firms in Charleston and across South Carolina. We do not touch legal research or drafting. We handle the operational layer: intake, scheduling, document collection, follow-ups, review generation, and referral systems.

The work that buries your staff but never required a law degree in the first place. That is what we automate.

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