Use a generic dataset for fine-tuning to ensure the model can handle a wide range of topics.

Select a pre-trained model that is specifically designed for the legal domain.

Prepare a dataset consisting of legal documents and fine-tune the model on this dataset.

Fine-tune the model on a dataset from a different domain and hope for the best.