Frequently Asked Questions

• How does Geo Language Services avoid AI errors in AI-aided legal translations?

  Through the workflow, not the engine. AI output in legal content has predictable failure modes — omissions, false friends, terminology drift between defined terms, mis-handling of clause references and named parties, hallucinated content in summarisation steps. Every AI-aided legal project is post-edited by a qualified legal linguist who is specifically trained to catch these patterns, against the source and against your termbase. Independent revision by a second linguist follows where required.

• To what extent are humans involved in a hybrid AI approach to AI-aided financial translations?

  Substantially. Human linguists are central to every stage that affects accuracy: content suitability assessment, engine selection, post-editing against the source, terminology validation against client glossaries, numerical and units verification, independent QA, and final sign-off. AI accelerates the productive throughput; the named human linguist remains accountable for the result and the audit trail.

• Can we bring our own AI?

  Yes, where it makes sense. If you have a domain-trained or in-house MT engine that you want to use, we can integrate it into our post-editing and QA workflow. We will assess engine output quality up front and recommend the appropriate post-editing depth. Where you don’t have an engine, we will select an appropriate secure one — domain-trained where possible, with zero data retention.

• Can AI be used to help with the translation of contracts and terms and conditions?

  It can, with care. Standardised, high-volume contracts (NDAs, SaaS T&Cs, recurring supplier agreements) and contract families with strong internal consistency are well-suited to an AI-aided workflow with expert post-editing. Bespoke commercial agreements, contentious documents, contracts forming part of litigation or transactional documents under negotiation are usually better handled with a full human translation workflow. We recommend the right approach per document.

• Is terminology checked in AI-aided insurance translations?

  Yes. Insurance is terminology-heavy and locale-sensitive — policy wordings, exclusions, named perils, statutory phrases and product names need to be consistent within a document, across a policy pack and over time. Every AI-aided insurance project runs against a client-specific termbase, with terminology validation built into both automated QA and human post-editing. Approved terminology persists across subsequent projects.