Glossary-Augmented AI Translation Cuts Terminology Errors by Nearly Half

LLM localization drives costs down but creates terminology drift when handling isolated content. Retrieval Augmented Localization resolves this by injecting glossary and domain context at inference time, cutting terminology errors up to 45%—a critical advantage for brands and products serving regulated European markets.