NMT uptake in institutional legal translation is high (ca. 80%) but much lower among UK-based freelance translators (41%)¶

Claim · All claims
Evidence · 1 study (2 entries) · theoretical r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? A 2023 survey of 474 respondents from 24 institutions reports NMT uptake of ca. 80% for legal translation, while a much lower uptake of 41% was reported among UK-based freelance translators. → Łucja Biel 2026 q2 i? UK-based freelance translators reported MT uptake at the level of 41%. → Łucja Biel 2026 (2)

Evidence¶

Łucja Biel 2026¶

Łucja Biel. (2026). AI Literacy for Legal Translation: Developing Digital Resilience. University of Warsaw. https://arxiv.org/abs/2608.04641 doi:10.48550/arxiv.2608.04641

q2 · i? · theoretical · r2

The chapter reports, citing Prieto Ramos (2024a), a survey of 474 respondents from 24 institutions with "an NMT uptake at the level of ca. 80% for legal translation"; institutional environments offer customised systems and technology-oriented training.

"a 2023 survey of 474 respondents from 24 institutions (Prieto Ramos 2024a) reports an NMT uptake at the level of ca. 80% for legal translation"

Łucja Biel 2026 (2)¶

Łucja Biel. (2026). AI Literacy for Legal Translation: Developing Digital Resilience. University of Warsaw. https://arxiv.org/abs/2608.04641

q2 · i? · theoretical · r2

The chapter reports, citing Góngora-Goloubintseff (2026), that "A much lower MT uptake at the le vel of 41% was reported among UK -based freelance translators"; the footnote notes the survey was conducted on a small sample (n=32) in 2024.

"A much lower MT uptake at the le vel of 41% was reported among UK -based freelance translators (Góngora-Goloubintseff 2026)"

Discussion¶

Related Claims¶

• Legal professionals frequently use free NMT with high self-reported satisfaction yet perform little to no post-editing, so satisfaction is not correlated with quality — related
• First-year MA translation students adopt a cautious, pragmatic approach to GenAI, combining NMT for drafting with LLMs for support tasks — related