How to Verify AI Suggested Legal Authorities

When a language model suggests a case, it is not retrieving it from a reports library. It is predicting text that looks like a citation. Most of the time that prediction lands on a real case. Some of the time it produces a citation that is subtly wrong, a case that exists but does not say what the model claims, or an authority that never existed at all. Lawyers have been sanctioned in several jurisdictions for filing the last kind. The fix is not to avoid AI research; it is to verify every authority before it carries any weight.

Treat a suggested citation as a lead, never a source

The single habit that prevents most problems: nothing the model returns is an authority until you have opened the actual judgment. The model's paragraph about a case is a claim to be checked, not a quotation to be trusted. This holds even when the citation looks perfect — correct-looking neutral citation, plausible court, sensible year. Convincing formatting is what these models are best at, and it is exactly what makes a fabricated citation dangerous.

Locate the original judgment in a reliable record

Find the case in an authoritative source: an official reporter, the court's own record or e-courts portal, or a reputable law database. Confirm three things independently of the model:

• The case exists and the citation resolves to it.
• The parties, court, and year match what the model stated.
• The judgment is reported accurately — you are reading the real text, not another summary of it.

If you cannot find the case in a reliable record, stop. An authority you cannot locate is an authority you cannot cite, regardless of how confident the draft sounds.

Read the passage the model relied on, in context

Once you have the judgment, go to the actual paragraph and read around it. Models routinely attribute a proposition to a case that discussed it only to reject it, or quote a line from counsel's argument as if it were the court's holding. Confirm the passage says what the draft claims, that it was part of the court's reasoning rather than passing observation, and that it survived to the operative order.

Check the authority is current and on point

A real, correctly quoted case can still be the wrong authority. Confirm it has not been overruled, reversed, or read down by a later or higher court, that it applies in your jurisdiction and forum, and that its facts are close enough to yours that the holding actually reaches your situation. AI tools rarely flag subsequent history reliably, so this step belongs to the lawyer.

Keep a short verification trail

For each authority that survives, note where you confirmed it and the paragraph you are relying on. This trail costs a minute and saves an afternoon: it lets a senior check your citations quickly, lets you answer a challenge in court without re-researching, and makes clear which authorities were verified against a primary source rather than accepted from the draft.

The efficiency of AI research is real. It surfaces cases you might not have found and does it in seconds. But the model's output is a starting set of leads, and the value only materialises after a human has confirmed each one against a reliable record. A workflow that keeps the suggested authority, the located judgment, and the verification note together — as Juniorlawyer is designed to — turns that verification from a scramble into a routine step. The speed comes from the model; the reliability comes from the check.