Reviewing AI Translations of Legal Documents

In an Indian practice, translation is not an occasional task. Sale deeds in Marathi, FIRs in Hindi, revenue records in Tamil, affidavits in Bengali, they arrive constantly, and the case may turn on a single clause in a language the drafting lawyer does not read. An AI translation makes this fast, and that speed is genuinely useful. The risk is that fluency reads as accuracy. A translation can be grammatically perfect and legally wrong, and because it sounds authoritative, nobody questions it until the mistranslated word is quoted in a pleading. Reviewing the output is not optional polish; it is the step that decides whether the translation is safe to rely on.

Keep source, extraction, and translation together

A legal translation of a scanned document is really two steps, reading the image and translating the text, and either can fail. Keep the original page, the extracted text, and the translation side by side so you can trace any suspect phrase back through both. If the extraction misread a handwritten figure, the translation will faithfully carry the error forward, and only the source page will reveal it.

Check the elements that decide rights first

Do not review evenly. Start with the words that change legal effect, because that is where an error does damage:

• Names of parties, witnesses, and places, easily garbled from another script
• Dates, including conversions between calendars where they appear
• Amounts, boundaries, and measurements in property and financial documents
• Negations, a dropped "not" reverses an obligation entirely
• Conditional language, "unless," "provided that," "subject to"

Treat legal terms of art as untranslatable until confirmed

General-purpose models translate legal vocabulary literally, and legal vocabulary resists literal translation. A term carrying specific meaning in the source language may have a settled English equivalent that the model does not know, or no equivalent at all. Where a word does legal work, do not accept the model's rendering on faith; confirm it against how the term is actually used in that jurisdiction, and where doubt remains, flag it rather than smoothing it over.

Have a competent reader verify the passages that matter

For any passage the case relies on, a person who reads the source language should check the translation against the original. The model is a first pass that gets you to a working draft quickly; it is not a substitute for a reader who can confirm that the disputed clause says what the translation claims. Reserve this human check for the passages that carry weight, and you spend the effort where the risk is.

Mark the reliability status clearly

A translation is used by people who did not make it, and they need to know how far to trust it. Label every translated document with its status, machine draft for orientation only, or reviewed and verified by a named reader, so nobody quotes an unchecked draft in a filing believing it was confirmed. The most damaging errors happen when a working draft is mistaken for a final one.

Store it linked to its source

Keep the reviewed translation with a link back to the source pages it came from, so the next person can reopen the original without hunting for it. A workspace that handles extraction and translation together, as Juniorlawyer does, keeps that chain intact, but the responsibility to verify the parts that matter stays with the lawyer relying on them.

Handled this way, AI translation turns a slow dependency on outside translators into a fast first draft you can act on the same day. What it does not do is remove your duty to be sure. Check the words that change the outcome, get a competent reader to confirm them, and label what has and has not been verified. The speed is real, and so is the obligation that comes with using it.