  This paper presents our submission to the SemEval 2024 Task 5: The Legal
Argument Reasoning Task in Civil Procedure. We present two approaches to
solving the task of legal answer validation, given an introduction to the case,
a question and an answer candidate. Firstly, we fine-tuned pre-trained
BERT-based models and found that models trained on domain knowledge perform
better. Secondly, we performed few-shot prompting on GPT models and found that
reformulating the answer validation task to be a multiple-choice QA task
remarkably improves the performance of the model. Our best submission is a
BERT-based model that achieved the 7th place out of 20.
