This presentation examines some of the drawbacks of using free machine translation services, focusing on users’ complete lack of control over the translation output, often caused by the generic or unhelpful data used to train public systems; and offer solutions for driving higher quality in machine translation, including using rule-based systems, and ensuring that engines are only fed domain-accurate data.