Natural Language Processing (NLP) has witnessed significant advancements in recent years, particularly with the emergence of large language models. These models, such as GPT-3.5 and its variants, have revolutionized various domains, including legal text processing (LTP). This survey explores the impact of large language modeling on NLP in the context of legal texts. By analyzing the latest research and developments, we seek to understand the benefits, challenges, and potential applications of large language models in the field of legal language processing.