A recent National Center for State Courts article describes how a Dallas County, Texas, Clerk's Office used AI tools in a workshop with court administrators. The reported outputs included AI guiding principles, an internal AI-use policy, an inventory of operational pain points and opportunities, and a framework for evaluating future initiatives.
Those documents do not make a system safe. They do something more basic. They force an organization to say what problem it is trying to solve, who owns the decision, and what must be true before a tool moves from interest to use.
Four work products before a pilot
- A purpose statement. Name the narrow job. "Use AI in the office" is not a task. "Help staff identify the right public information page for a routine question" is a task that can be reviewed.
- Guiding principles and an internal-use policy. Put responsibility, confidentiality boundaries, approval authority, and prohibited uses in writing. A policy is not a substitute for judgment, but it makes the organization's judgment visible and repeatable.
- A pain-point inventory. Ask where the real bottleneck is before buying a tool. A long list of features can hide a simple fact: the office may need better intake, clearer public information, or a more reliable review process instead of a new system.
- A review path for the next proposal. Decide who will review the use, what information they need, and what would cause them to pause or decline it. The point is not to create paperwork for its own sake. The point is to keep a small experiment from becoming an unmanaged practice.
Bench & Bar takeaway
Two Tennessee state-government materials reinforce the value of beginning with a defined review path, while drawing an important boundary. The Tennessee AI Advisory Council's late-2025 Action Plan recommends pre-deployment reviews for significant new systems affecting eligibility, rights, or safety. The State's Enterprise Artificial Intelligence Policy says that AI solutions within its stated scope must be reviewed and approved for purposeful use and policy compliance.
Neither document is a Tennessee court rule, a legal-ethics opinion, or a rule for private law firms. But both identify a sound planning discipline: higher-stakes uses deserve a decision record before they acquire users, data, and institutional momentum.
For a court or law office, the first useful AI deliverable may not be a model contract or a license. It may be a one-page record that answers four questions: What is the job? Who owns it? What information will be used? Who can say no?