Linguistic Risk Management

AI can move fast. We make sure it’s also right.

AI and automation bring powerful benefits to multilingual content, but not all content carries the same level of risk. That’s why LanguageLine has developed a Linguistic risk management framework to assess, categorise and control how translated content is handled based on how it could affect your organisation.

From AI-generated FAQs to certified legal documents, we match the right tools, processes and people to each use case. The result? Clients get faster turnaround and lower costs without compromising on quality or compliance.

Four levels of linguistic risk with one smart strategy

LanguageLine classifies content into four levels of risk. Each tier determines how much human supervision, review and Quality Assurance (QA) is applied.

Risk Level	Definition	Mitigation Approach
No-risk content	Content poses no risk to business; internal only	Best-in-class MT platform; minimal review; linguist evaluation only during onboarding
Low-risk content	Low exposure from errors; external but low stakes	AI and sampling by linguists; no content change unless issues are found
Medium-risk content	Translation may carry a reputational or regulatory impact	QA sampling plan, reviewed by linguists before stakeholder delivery
High-risk content	Errors could have legal, compliance or user trust implications	Full MTPE or dual linguist review prior to delivery

Tools and people that keep your content safe

LanguageLine applies targeted mitigation strategies based on your content’s risk profile when using AI tools for your translation needs:

AI rating

Expert linguists rate AI model output during selection and training. Gold sample translations help tune quality estimation

Risk evaluation

We use custom scorecards and sampling protocols to assess AI-translated content and flag issues proactively

Quality assurance

Linguists design QA plans based on risk. These plans guide sampling size, review frequency and error thresholds

AI translation editing (MTPE)

For medium or high-risk content, professional editors refine AI output to meet quality and compliance standards before delivery

Real-world scenarios, real-world safeguards

No risk:

Internal reference docs, project notes, rough market research → direct MT with light review

Low risk:

Support content, blog drafts, knowledge bases → MT with sampling and QA scorecards

Medium risk:

HR policy updates, client-facing technical content → MTPE or human linguist review before publication

High risk:

Legal documents, compliance notices, patient communications → Full linguist translation or MTPE and final proofing

📊 Coming soon: Download our linguistic risk matrix

A printable guide to help your team classify content and choose the right review path.

You don’t need to choose between speed and safety

With LanguageLine’s risk-based workflows, you can scale multilingual content confidently. Let us help you design a programme that balances AI efficiency with expert supervision.

Smarter translation starts with smarter risk control