In the complaint, Thomson Reuters claimed the AI firm reproduced materials from its legal research firm Westlaw. "None of Ross's possible defenses holds water. I reject them all," wrote US District Court of Delaware judge Stephanos Bibas, in a summary judgement. Thomson Reuters and Ross Intelligence did not immediately respond to requests for comment. Right now, there are several dozen lawsuits currently winding through the US court system, as well as international challenges in China, Canada, the UK, and other countries. Notably, Judge Bibas ruled in Thomson Reuters' favor on the question of fair use.

Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. But the large language models used in these tools are prone to "hallucinate," or make up false information, making their use risky in high-stakes domains. Recently, certain legal research providers have touted methods such as retrieval-augmented generation (RAG) as "eliminating" (Casetext, 2023) or "avoid[ing]" hallucinations (Thomson Reuters, 2023), or guaranteeing "hallucination-free" legal citations (LexisNexis, 2023). Because of the closed nature of these systems, systematically assessing these claims is challenging. In this article, we design and report on the first preregistered empirical evaluation of AI-driven legal research tools. We demonstrate that the providers' claims are overstated. While hallucinations are reduced relative to general-purpose chatbots (GPT-4), we find that the AI research tools made by LexisNexis (Lexis+ AI) and Thomson Reuters (Westlaw AI-Assisted Research and Ask Practical Law AI) each hallucinate between 17% and 33% of the time. We also document substantial differences between systems in responsiveness and accuracy. Our article makes four key contributions. It is the first to assess and report the performance of RAG-based proprietary legal AI tools. Second, it introduces a comprehensive, preregistered dataset for identifying and understanding vulnerabilities in these systems. Third, it proposes a clear typology for differentiating between hallucinations and accurate legal responses. Last, it provides evidence to inform the responsibilities of legal professionals in supervising and verifying AI outputs, which remains a central open question for the responsible integration of AI into law.

The brain that wrote your favorite novel consumed Dickens and Austen, Pynchon and Didion. The brain that wrote this article devoured Bradbury and Orwell, Ishiguro and Octavia Butler. But the "brain" that powers that chatbot you played around with over the weekend ingested 170,000 books, all so it can spit out language that sounds smart, colorful, or helpful--even if it's really not. But language-guzzling artificial intelligence models, which need to "train" on existing works, present a bigger challenge. In July, a group of writers including comedian Sarah Silverman and novelist Michael Chabon filed suits against OpenAI and Meta, alleging that the companies improperly trained their models on the authors' books.

Teenagers deciding their future this year have a lot to contend with. In England, those who sat their A-levels suffered the biggest results drop on record while the top grades in GCSEs also fell. And now they face the question: will the career I choose to pursue even exist by the time I enter the workforce? Artificial intelligence has hit the mainstream with the popularity of generative AI programmes driven by large language models such as ChatGPT. Businesses are increasingly adopting the technology.

Thomson Reuters is a leading multinational conglomerate that provides trusted data and information across different industries. The company mainly serves Legal, Tax and Accounting, and Media. Artificial intelligence is the norm that industries are rapidly adopting today. AI and other disruptive technologies like machine learning are enabling businesses to gain drive efficiency and growth. Companies are highly investing in AI and launching innovations.

It is no secret that technology has been transforming the way we work. Every day, new tools and applications appear to automate processes, making them more agile and precise. In the area of finance, especially in the tax sector, the use of Artificial Intelligence has become increasingly fundamental to eliminate manual errors, increase productivity and make the business more strategic – mainly in the UK – where 1,958 hours are spent per year to meet all tax obligations, according to the World Bank. According to the survey conducted by Thomson Reuters in partnership with Live University, 56% of British companies intend to use Artificial Intelligence to optimize tax management. When the debate is about which technology is more functional for the sector, 61% of professionals point to Machine Learning as the innovation most capable of benefiting the segment; 31% bet on Data Science, and 10% prefer chatbots. The fact is that these combined technologies should revolutionize the finance area, as has already been happening with banks, in addition to other sectors such as e-commerce and general service, due to their high precision in collecting and data analysis, problem-solving, and responsiveness.

NEW YORK (Reuters) - Thomson Reuters Corp will streamline technology, close offices and rely more on machines to prepare for a post-pandemic world, the news and information group said on Tuesday, as it reported higher sales and operating profit. The Toronto-headquartered company will spend $500 million to $600 million over two years to burnish its technology credentials, investing in AI and machine learning to get data faster to professional customers increasingly working from home during the coronavirus crisis. Thomson Reuters' New York- and Toronto-listed shares each gained more than 8%. It aims to cut annual operating expenses by $600 million through eliminating duplicate functions, modernizing and consolidating technology, as well as through attrition and shrinking its real estate footprint. Layoffs are not a focus of the cost cuts and there are no current plans to divest assets as part of this plan, the company said.

Ross Intelligence, an artificial intelligence startup for the legal industry, has filed a counterclaim against Thomson Reuters as part of an ongoing legal battle between the two companies. The counterclaim was filed just days after Ross Intelligence publicly announced it is shutting down operations. In a company blog post from December 11, Ross Intelligence's founders stated the startup's platform will no longer be operational as of January 31. "We have not abandoned our vision for access to justice through the use of technology. We will continue to fight the good fight."

Welcome to the 4th industrial revolution. This is where automation & artificial intelligence are transforming the way we all live, work, and connect. We've written extensively on the impact of AI in HR, staffing, and recruiting. Just about everything we do is being impacted by artificial intelligence. Farming, retail, healthcare, mental health, construction, IT…pick any industry you like.

CHINA - 2020/08/13: In this photo illustration the American multinational technology company and ... [ ] search engine Google logo is seen on an Android mobile device with United States of America flag in the background. Google (GOOG) just made a statement. On August 3, Google announced that it's investing $450 million in home security company ADT (ADT). The investment will give Google a 6.6% stake in the company. You might be wondering why the tech giant wants anything to do with ADT.