In recent years, the field of Legal Tech has risen in prevalence, as the Natural Language Processing (NLP) and legal disciplines have combined forces to digitalize legal processes. Amidst the steady flow of research solutions stemming from the NLP domain, the study of use cases has fallen behind, leading to a number of innovative technical methods without a place in practice. In this work, we aim to build a structured overview of Legal Tech use cases, grounded in NLP literature, but also supplemented by voices from legal practice in Germany. Based upon a Systematic Literature Review, we identify seven categories of NLP technologies for the legal domain, which are then studied in juxtaposition to 22 legal use cases. In the investigation of these use cases, we identify 15 ethical, legal, and social aspects (ELSA), shedding light on the potential concerns of digitally transforming the legal domain.

翻译：近年来，随着自然语言处理与法律学科的协同作用推动法律流程数字化，法律科技领域的关注度日益提升。在自然语言处理领域研究解决方案不断涌现的背景下，对用例的研究却相对滞后，导致大量创新技术方法未能落地实践。本研究旨在基于自然语言处理文献，同时结合德国法律实务界的观点，构建法律科技用例的结构化综述。通过系统文献综述，我们识别出法律领域中七类自然语言处理技术，并将其与22个法律用例进行对比分析。在对这些用例的研究过程中，我们提炼出15项伦理、法律与社会影响要素，揭示了法律领域数字化转型的潜在问题。