SwiLTra-Bench: The Swiss Legal Translation Benchmark

In Switzerland legal translation is uniquely im portant due to the country’s four official languages and requirements for multilingual legal documentation. However, this process traditionally relies on professionals who must be both legal experts and skilled translators — creating bottlenecks and impacting effective access to justice. To address this challenge, we introduce SwiLTra-Bench, a comprehensive multilingual benchmark of over 180K aligned Swiss legal translation pairs comprising laws, headnotes, and press releases across all Swiss languages along with English, designed to evaluate LLM-based translation systems. Our systematic evaluation reveals that frontier models achieve superior translation performance across all document types, while specialized translation systems excel specifically in laws but under-perform in headnotes. Through rigorous testing and human expert validation, we demonstrate that while fine-tuning open SLMs significantly improves their translation quality, they still lag behind the best zero-shot prompted frontier models such as Claude-3.5-Sonnet. Additionally, we present SwiLTra-Judge, a specialized LLM evaluation system that aligns best with human expert assessments.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-03-01
DOI
https://doi.org/10.3929/ethz-b-000729956
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
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article

SwiLTra-Bench: The Swiss Legal Translation Benchmark

Repository for Publications and Research Data (ETH Zurich)
Artificial Intelligence in Law
article

SwiLTra-Bench: The Swiss Legal Translation Benchmark

article en

Abstract

In Switzerland legal translation is uniquely im portant due to the country’s four official languages and requirements for multilingual legal documentation. However, this process traditionally relies on professionals who must be both legal experts and skilled translators — creating bottlenecks and impacting effective access to justice. To address this challenge, we introduce SwiLTra-Bench, a comprehensive multilingual benchmark of over 180K aligned Swiss legal translation pairs comprising laws, headnotes, and press releases across all Swiss languages along with English, designed to evaluate LLM-based translation systems. Our systematic evaluation reveals that frontier models achieve superior translation performance across all document types, while specialized translation systems excel specifically in laws but under-perform in headnotes. Through rigorous testing and human expert validation, we demonstrate that while fine-tuning open SLMs significantly improves their translation quality, they still lag behind the best zero-shot prompted frontier models such as Claude-3.5-Sonnet. Additionally, we present SwiLTra-Judge, a specialized LLM evaluation system that aligns best with human expert assessments.

Repository for Publications and Research Data (ETH Zurich)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Artificial Intelligence in Law
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