论文标题

立法:通过可视化立法和律师处理的隐性结构,启用法律AI开发

Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process

论文作者

McLachlan, Scott, Kyrimi, Evangelia, Dube, Kudakwashe, Fenton, Norman, Webley, Lisa

论文摘要

建模,利用视觉元素和信息可视化是重要的领域,这些领域为许多领域的理解和计算机化进步做出了巨大贡献,但仍未探索为法律和法律实践的利益。本文通过使用视觉建模和信息可视化(INFOVIS)来协助法律知识,实践和知识形式化作为法律AI的基础,研究立法和法律中建模和表达结构和过程的挑战。本文使用定义明确的统一建模语言(UML)的子集来视觉表达立法和法律的结构和过程,以创建称为立法的视觉流程图,这构成了进一步形式化的基础。通过创建一套代表财产的法律和《联合王国1954年的房东和租户法》,提出和评估了立法发展方法论。本文是能够在从立法到实践的各个方面应用的新型初步解决方案中的第一个;并能够加速法律AI的发展。

Modelling that exploits visual elements and information visualisation are important areas that have contributed immensely to understanding and the computerisation advancements in many domains and yet remain unexplored for the benefit of the law and legal practice. This paper investigates the challenge of modelling and expressing structures and processes in legislation and the law by using visual modelling and information visualisation (InfoVis) to assist accessibility of legal knowledge, practice and knowledge formalisation as a basis for legal AI. The paper uses a subset of the well-defined Unified Modelling Language (UML) to visually express the structure and process of the legislation and the law to create visual flow diagrams called lawmaps, which form the basis of further formalisation. A lawmap development methodology is presented and evaluated by creating a set of lawmaps for the practice of conveyancing and the Landlords and Tenants Act 1954 of the United Kingdom. This paper is the first of a new breed of preliminary solutions capable of application across all aspects, from legislation to practice; and capable of accelerating development of legal AI.

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