Yu, R., & Alì, G. (2019). What’s Inside the Black Box? AI Challenges for Lawyers and Researchers. Legal Information Management, 19(1), 2-13. The Artificial intelligence revolution is happening and is going to drastically re-shape legal research in both the private sector and academia. AI research tools present several advantages over traditional research methods. They allow for the…
AI and the courts: Will machine learning decision making ever replace judges?
Sir Geoffrey Vos, the Master of the Rolls and Head of Civil Justice in England and Wales gave a recent speech on the possibility of AI replacing humans in decision making roles. He made a number of key points: * AI technology is unlikely to replace human beings in judicial decision-making in complex, personal cases….
MIT Computational Law Report: Generative AI for Law and Legal Processes
The MIT Computational Law Report has convened a task force to develop principles and guidelines for applying due diligence and legal assurance to Generative AI for law and legal processes. The purpose of this task force is to ensure factual accuracy, accurate sources, valid legal reasoning, alignment with professional ethics, due diligence, and responsible use…
The importance of caution when using AI
aiThis article discusses the use of large language models (LLMs) such as ChatGPT in the legal profession. These models have the potential to transform the legal industry, however, their integration into the legal profession comes with significant ethical considerations. These LLMs are good for general legal research and writing but there are significant issues around…
Why does ChatGPT matter for the legal industry?
The article discusses the use of ChatGPT, and large language models (LLM) in the legal industry. ChatGPT has a number of applications for lawyers such as legal writing, marketing and administrative work. Efficiency tools like ChatGPt can allow lawyers more time to focus on the legal aspects of their practice. However, ChatGPT is not yet…
The future of law firms (and lawyers) in the age of Artificial Intelligence
This article explores the future for lawyers and law firms in the light of the changes that Artificial Intelligence (“AI”) is already bringing to the universe of legal services. Part I briefly describes some of the ways AI is already in use in ordinary life – from facial recognition, through medical diagnosis to translation services….
Legal Regulation of the Use of Artificial Intelligence: Problems and Development Prospects
The article considers the advantages and disadvantages of using artificial intelligence (AI) in various areas of human activity. Particular attention was paid to the use of AI in the legal field. Prospects for the use of AI in the legal field were identified. The relevance of research on the legal regulation of the use of…
From rule of law to statute drafting: legal issues for algorithms in government decision-making
Governments are increasingly relying on algorithms to automate decision-making in diverse areas, including social welfare, criminal justice, healthcare, law enforcement and national security. This chapter sketches the way in which algorithms are or may be used across the spectrum of government decision making — from the drafting of legislation, to judicial decision making, to the…
Trade Mark Infringement and Artificial Intelligence
Abstract: Artificial intelligence (AI) technologies are starting to alter the way in which consumers shop for and purchase goods and services. This exploratory article examines some of the implications the increasing use of AI technologies may have to the law of trade mark infringement under New Zealand’s Trade Marks Act 2002. Trade mark infringement is…
Predict and Suspect: The Emergence of Artificial Legal Meaning
Abstract Recent theoretical writings on the possibility that algorithms would someday be able to create law have delayed algorithmic law-making, and the need to decide on its legitimacy, to some future time in which algorithms would be able to replace human lawmakers. This Article argues that such discussions risk essentializing an anthropomorphic image of the…