Schoolly

Natural Language Processing (NLP), Large Language Models (LLMs), Legal Tech, and Computational Law. My primary interest lies in analyzing legal texts to improve information retrieval, summarization of court decisions, and case outcome prediction. I am exploring the application of transformer-based models for Named Entity Recognition (NER) and relation extraction within the legal domain.