ai
AI Literacy for Legal Translation: Developing Digital Resilience
- Source
- arXiv — Computers and Society
- Published
- Last verified
- 7 Aug 2026
- Confidence
- High
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Technology & Data, Research & Evidence, Risk & Compliance, Strategy & Planning, Executive Leadership
Executive summary
What happened, and why should leadership care?
Generative AI is significantly impacting the field of legal translation, introducing both opportunities and a range of risks across linguistic, technical, legal, ethical, and cognitive domains. While the fundamental objectives of legal translation remain unchanged, the integration of AI necessitates an expansion of professional competence through a structured AI literacy framework. This framework, composed of foundational, procedural, critical, and strategic dimensions, aims to embed AI literacy as a core component of legal translation proficiency, thereby fostering digital resilience within the profession.
Why this matters
Why is this strategically important?
The integration of AI into specialized professional domains like legal translation is a critical strategic consideration. It highlights the necessity for professions to adapt skillsets and training paradigms to leverage new technologies effectively while mitigating inherent risks, ensuring continued professional integrity and service quality.
Key insights
What should be noted from the evidence?
- Generative AI is transforming legal translation, presenting both new opportunities and various risks.
- Risks associated with AI in legal translation encompass linguistic, technical, legal, ethical, and cognitive aspects.
- The core objectives of legal translation are not altered by AI, but professional competence requires expansion.
- An AI literacy framework is proposed specifically for the legal translation profession.
- The AI literacy framework includes four dimensions: foundational, procedural, critical, and strategic.
Evidence and confidence
How far can this assessment be trusted?
High confidence. Named institution, original document retained and analysis corroborated.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication