Define the problem before selecting the tool

Describe the bottleneck in practical terms: missing intake information, inconsistent document naming, or time spent creating an initial summary. Decide what improvement would be useful and how it will be assessed. A broad claim that a product makes legal work faster does not show that it fits your workflow, client needs, or professional obligations.

Understand the information being processed

Identify what data the tool receives, where it is stored, who can access it, and whether the provider uses it for other purposes. Consider contractual terms and confidentiality before entering client information. ABA Formal Opinion 512 addresses duties implicated by generative artificial intelligence, including competence and protection of information. Its analysis must be considered alongside applicable jurisdictional rules and the particular tool.

Set a verification standard

Decide which outputs require comparison with source documents, current authorities, or independently confirmed facts. A fluent summary may omit a qualification; a generated citation may not support the proposition attached to it. Assign review to someone competent to evaluate the task. The review should assess substance and context, rather than merely correcting wording or checking that the output looks professional.

Keep users and clients properly informed

Explain the service in a way that supports meaningful choices and complies with relevant communication duties. Address consent where required, supervision, and the basis for fees. Avoid implying that automated output has already received legal review when it has not. Build a route for a person to ask a question or correct information that a digital process has misunderstood.

Pilot, observe, and retain a fallback

Test the tool on suitable non-sensitive examples before wider use, then monitor the kinds of error that matter for the chosen task. Record limitations and train users accordingly. Keep a workable alternative if the system becomes unavailable or stops meeting requirements. Adoption should depend on demonstrated usefulness and manageable risks, not on novelty or an assumption that automation removes responsibility.

From reading to reflection

A practical starting point

  • Name the task and the expected improvement.
  • Review information handling before use.
  • Assign competent verification and supervision.
  • Plan communication, monitoring, and a fallback.

Reference points: American Bar Association, Formal Opinion 512—Generative Artificial Intelligence Tools, and Model Rule 1.4. Local rules, current guidance, and product-specific facts matter. Reviewed September 30, 2026.

General information for readers interested in legal practice and access to justice. It is not advice on a particular matter.