Legal & Property Language Processing

这个项目将开发尖端的人工智能技术，以提取和分析与财产和土地相关的合法权利和义务。该项目负责人Orbit Witness将利用这些信息支持为所有财产和土地创建“法律风险分数”(类似于信用风险分数)。这将对法律和保险领域的房地产实践产生革命性的影响，通过大幅提高了解影响财产的法律问题的透明度，大幅加快律师发现这些法律风险的时间，并改进房地产风险评估的标准化，以便以更简单的方式发布保单。南安普顿大学将领导自然语言处理算法的开发，将其人工智能、信息提取和伦理数据使用专业知识应用于该项目。与此同时，英格兰和威尔士的国家土地和财产权益注册处将就其数据的使用提供专家建议和指导，并在适当的情况下分享最佳做法。该联盟得到了强大的项目支持者的补充，其中包括伦敦领先的律师事务所Mishcon de Reya和世界上最大的私人持有的独立保险经纪公司Lockton Companies，他们将就分别在法律和保险行业将项目成果最佳商业化提供专家意见。

"This project will develop cutting-edge AI techniques to extract and analyse legal rights and obligations related to property and land. Orbital Witness, the project lead, will use this information to support the creation of "Legal Risk Scores" (similar to credit risk scores) for all property and land. This will revolutionise real estate practice in the legal and insurance sectors, through massively increasing transparency in understanding legal issues affecting property, drastically speeding up the time in which lawyers can spot these legal risks, and improving the standardisation of real estate risk assessment to allow for insurance policies to be issued in a more simple manner.The University of Southampton, leading on the development of Natural Language Processing algorithms, will apply their AI, information extraction, and ethical data use expertise to this project. Meanwhile, Her Majesty's Land Registry, the national registrars for land and property interests in England and Wales, will provide expert advice and guidance on the use of their data, sharing best-practice where appropriate.This consortium is complemented by strong project supporters in the form of Mishcon de Reya, a leading London law firm, and Lockton Companies, the largest privately held independent insurance broker in the world, who will provide specialist input on best commercialising the project outputs in the legal and insurance industries respectively."