AI in Legal Translation and Interpretation: Practical Applications, Risks, and Best Practices
About Course
This two-hour CLE course explores how Artificial Intelligence (AI) is reshaping legal translation and interpretation. Participants will learn how to integrate AI-powered tools—such as neural machine translation (NMT), AI-assisted interpretation, and domain-specific large language models—into legal workflows while ensuring compliance with ethical, evidentiary, and confidentiality standards.
Through real-world examples and case studies, attorneys and legal professionals will gain practical strategies for using AI to support multilingual compliance, cross-border discovery, courtroom interpretation, and client communication. The course examines common risks—including mistranslations, loss of nuance, bias, and admissibility issues—and provides best practices for vendor selection, workflow design, and human-in-the-loop review.
By the end of the course, attendees will be equipped to make informed decisions about AI adoption in multilingual legal contexts, balancing innovation with professional responsibility.
Learning Objectives
Participants will be able to:
- Identify AI technologies used in legal translation and interpretation, including their strengths and limitations.
- Apply AI tools to multilingual legal tasks while mitigating risks.
- Recognize evidentiary and accuracy challenges in AI-generated translations.
- Navigate confidentiality, privilege, and ethical obligations in AI-assisted language work.
- Implement human-in-the-loop and quality control processes.
Key Topics
- AI translation and interpretation technologies (NMT, speech-to-text, LLMs)
- Legal use cases: contracts, compliance, cross-border discovery, court hearings
- Accuracy and reliability issues in multilingual legal contexts
- Confidentiality, privilege, and vendor data security practices
- Cultural nuance, bias, and legal meaning
- Language rights and accessibility compliance
- Best practices for integrating AI with human expertise
- Future developments in legal AI language tools