ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models
Second Arabic Natural Language Processing Conference (ArabicNLP 2024), pages 225–249
What it adds
Combines Arabic questions grounded in Saudi legal sources with translated LegalBench tasks to evaluate legal knowledge and text understanding.
Read with this limitation
Saudi sources and translated tasks do not represent every Arabic-speaking jurisdiction. Expert-validation depth and task metadata are limited. External retrieval is outside scope; benchmark performance does not establish operational legal competence.
- Jurisdiction tags
- Saudi Arabia
- Language
- Arabic
Research artifacts
Resources linked by the authors.
Follow the source
Selected statements located in the linked primary sources. These results have not been independently reproduced here.
The benchmark combines Arabic multiple-choice questions, question answering with relevant Saudi regulations supplied, and Arabic translations of LegalBench tasks.
1 Introduction; task compositionThe study does not evaluate retrieving relevant laws or facts from external knowledge bases.
1 Introduction; evaluation scope
Connected research
Related question
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Both evaluate structured legal tasks; ArabLegalEval examines Arabic performance with Saudi-source questions and translated tasks.
Related question
LawBench: Benchmarking Legal Knowledge of Large Language Models
Both examine legal model capabilities beyond English, with different languages, legal systems and task designs.
Entry status, source edition & rights
- Index entry
- Source-linked summary, prepared with agent assistance. Independent scholarly review is pending.
- Archive admission
- This bibliographic entry does not confer admission to the versioned archive.
- Edition inspected
- 10.18653/v1/2024.arabicnlp-1.20
- Reading coverage
- Published ArabicNLP 2024 PDF: sections 1, 3–5 and section 6 limitations inspected. Arabic is the evaluation language. Translated LegalBench tasks were selected for limited localisation requirements; no additional national-law facet is inferred. Publication affiliations and official artifact links checked. No code execution.
- Rights
- External references only. Papers and research artifacts remain with their original hosts; their own terms apply.
- Entry updated
- 2026-10-15
Source-linked summary · independent assessment pending.