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The judiciary has historically been conservative in its use of ArtificialIntelligence, but recent advances in machine learning have prompted scholars toreconsider such use in tasks like sentence prediction. This paper investigatesby experimentation the potential use of explainable artificial intelligence forpredicting imprisonment sentences in assault cases in New Zealand's courts. Wepropose a proof-of-concept explainable model and verify in practice that it isfit for purpose, with predicted sentences accurate to within one year. Wefurther analyse the model to understand the most influential phrases insentence length prediction. We conclude the paper with an evaluative discussionof the future benefits and risks of different ways of using such an AI model inNew Zealand's courts.

Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand