Technology

The BBC Artificial intelligence (AI) tools have got significantly better at answering legal questions but still can not replicate the competence of even a junior lawyer, new research suggests. The major British law firm, Linklaters, put chatbots to the test by setting them 50 “relatively hard” questions about English law. It concluded OpenAI’s GPT 2, released in

Morgan & Morgan has warned its lawyers against including AI hallucinations in legal work, with the threat of disciplinary action. According to a survey, 63% of lawyers have used AI tools for work in the past, with 12% using them regularly. Lawyers caught using unverified AI-generated citations can face penalties, including fines and mandatory courses

Attorneys: Regina Sam Penti, Georgina Jones Suzuki, Parv Gondalia In a Westlaw Today article, attorneys discussed DeepSeek artificial intelligence legal considerations for enterprise users. The authors note that while some versions of DeepSeek’s AI model can be downloaded and run locally without storing data on cloud storage controlled by DeepSeek, enterprise users exploring use of DeepSeek through its iOS

On February 7, 2025, the OECD launched a voluntary framework for companies to report on their efforts to promote safe, secure and trustworthy AI.  This global reporting framework is intended to monitor and support the application of the International Code of Conduct for Organisations Developing Advanced AI Systems delivered by the 2023 G7 Hiroshima AI

Individually, AI and blockchain are among the hottest, most transformative technologies. Collectively, they are incredibly synergistic – hence the 1+1=3 concept in the title. We are seeing more examples of how the two will interact. Over time, the level of interaction will be extensive. Many projects are being developed that bring the power of AI

Last month, DeepSeek, an AI start-up based in China, grabbed headlines with claims that its latest large language AI model, DeepSeek-R1, could perform on par with more expensive and market-leading AI models despite allegedly requiring less than $6 million dollars’ worth of computing power from older and less-powerful chips.  Although some industry observers have raised