To fine-tune a large language model for legal text processing, I would start by gathering a large and diverse dataset of legal documents. Then, I would use transfer learning techniques to adapt the pre-trained model, ensuring that I monitor for overfitting by utilizing validation datasets and experimenting with different hyperparameters during training.