Sequence the legal translation curriculum from human from-scratch translation to AI-assisted workflows, with strategic AI literacy from the outset¶

Strategy · All strategies
Evidence · no claims cited

Description¶

A pedagogical principle for legal translator education: students should first develop legal translation methodology and core translation competences through human from-scratch translation before progressing to AI-assisted workflows. As printed: "Students should first develop legal translation methodology and the core translation competences through human from -scratch translation before progressing to AI-assisted workflows". Premature reliance on AI output may weaken competence acquisition and encourage uncritical acceptance. AI initially augments decision-making (source-text analysis, terminology research) before being used for drafting under human oversight, while strategic AI literacy — deciding whether and how to use AI — is present from the start.

Design Implications¶

Context¶

Requirements¶

• Students first acquire initial translation experience and verification routines before higher levels of automation are introduced

Constraints¶

• The chapter cites research (Setkowicz-Ryszka 2025) that post-editing produces better learning outcomes once learners have acquired initial translation experience

Target Learners¶

• legal translation students
• first-year MA translation students

Target Learning Goals¶

• core legal translation competence
• critical AI literacy
• verification routines

Affordances¶

• Ai Literacy Framework Legal Translation Four Dimensions

Related Strategies¶

• Integrate AI literacy education as an integral component of first-year curriculum development rather than an add-on

Examples¶

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Key Sources¶

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