# Eskwai for Students: Generative AI Assistant for Legal Education in Ghana

arXiv: https://arxiv.org/abs/2605.15380 · HTML: https://mlsanity.com/paper/2605.15380/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 13 references that are in the map.
- First posted on arXiv 14 May 2026.

## Builds on (most cited first, 2 of 2)

- [Evaluating the Role of Large Language Models in Legal Practice in India](https://mlsanity.com/paper/2508.09713/) (2025)
- [Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis](https://mlsanity.com/paper/2603.04982/) (2026)

## Abstract (arXiv)

Recent advances in generative AI have shown their potential to be leveraged for legal education. Yet, work on the development and deployment of such systems for legal education in the Global South is limited. In this work, we developed Eskwai for Students, a generative AI assistant to help law students with their legal education. Eskwai for Students is a retrieval augmented generation (RAG) system that provides answers to a wide range of legal questions for law students grounded in a curated database of over 12K case laws and 1.4K legislation in Ghana. We deployed Eskwai for Students in a longitudinal study of 30 months (2.5 years) used by 3.1K law students in Ghana who made 32K queries. We evaluated the helpfulness of our AI, and provided insight into the kinds of queries law students submit to this generative AI tool, which raises some ethical concerns. This work contributes to an understanding of how law students in the Global South are using generative AI for their studies and the ways it could be leveraged responsibly to advance legal education.