This paper addresses a critical gap in legal analytics by developing and applying a novel taxonomy for topic modelling summary judgment cases in the United Kingdom. Using a curated dataset of summary judgment cases, we use the Large Language Model Claude 3 Opus to explore functional topics and trends. We find that Claude 3 Opus correctly classified the topic with an accuracy of 87.10%. The analysis reveals distinct patterns in the application of summary judgments across various legal domains. As case law in the United Kingdom is not originally labelled with keywords or a topic filtering option, the findings not only refine our understanding of the thematic underpinnings of summary judgments but also illustrate the potential of combining traditional and AI-driven approaches in legal classification. Therefore, this paper provides a new and general taxonomy for UK law. The implications of this work serve as a foundation for further research and policy discussions in the field of judicial administration and computational legal research methodologies.

Artificial intelligence has already established itself as a key ingredient to the future of work. This technology has played an essential role in how businesses operate and communicate with employees and customers. However, some analysts believe the way in which it impacts the office real estate world will be slower, particularly in big cities. Typically, the real estate industry in big cities like London and New York operate by landlords and tenants agreeing on 10 to 15 year leases for lavish buildings. In smaller areas, leases are shorter and better encourage a working relationship between the landlord and tenant for practical spaces.

It is a truth universally acknowledged that artificial intelligence will change everything. In the next few decades, the world will become intelligible, and in many ways, intelligent. But insiders suggest that the world of big office real estate will get there more slowly - at least in the world's major cities. This is the period of the lease. After a tense renewal negotiation, and perhaps a big row, landlord and tenant are generally happy to leave each other alone until the next time.

It is a truth universally acknowledged that artificial intelligence will change everything. In the next few decades, the world will become intelligible, and in many ways, intelligent. But insiders suggest that the world of big office real estate will get there more slowly - at least in the world's major cities. This is the period of the lease. After a tense renewal negotiation, and perhaps a big row, landlord and tenant are generally happy to leave each other alone until the next time.