During London Tech Week, the UK government announced a £1.1 billion plan dedicated to advancing AI hardware and a £200 million initiative to promote AI adoption. Alongside this, new reforms will integrate AI technologies into the justice system, and a data lab will be launched to tackle homelessness. This marks the most significant technology investment from the current administration to date.
Apple announced that its Siri AI will not be available in the European Union at launch. The company cited challenges in complying with Europe's Digital Markets Act, which currently prevents a safe and compliant rollout within the EU.
Anthropic has introduced Claude Fable 5, a powerful new AI model designed for broad enterprise use, alongside the more restricted Claude Mythos 5, which remains available only to vetted users in cybersecurity and biology. Fable 5 offers superior performance across software engineering, knowledge work, vision, scientific research, and long-term tasks, outperforming previous models and beating benchmarks significantly. For sensitive requests in cybersecurity, biology, or model distillation, Fable 5 automatically routes queries to a less capable model to enhance safety. Pricing for both new models is set at $10 per million input tokens and $50 per million output tokens, making them among the most expensive AI services globally. Enterprises benefit from Fable 5’s enhanced autonomous coding capabilities, notably enabling more complex tasks like codebase migrations and app prototyping. The rollout includes availability via API and subscription plans with a planned shift to usage credits after an initial free period. Mythos 5 serves high-risk sectors with fewer restrictions, supporting advanced cybersecurity and biological research workflows. Anthropic’s data retention policies require 30-day storage for all usage data, balancing capability with security. This release marks a strategic move toward commercializing highly autonomous AI systems with controlled access to sensitive capabilities.
The Medical Protection Society is urging a legal overhaul to protect healthcare professionals from being held liable for mistakes made by AI diagnostic and treatment tools. Currently, doctors and the NHS can be sued for medical negligence if AI-driven errors lead to patient harm or death. The existing law does not differentiate between human and AI mistakes, raising concerns as AI becomes more integrated into medical decision-making processes.
On Monday, US District Judge Leo T. Sorokin in Massachusetts ruled that the $100,000 fee imposed by President Donald Trump on H-1B visa applications is an unlawful tax and must be overturned. The judge determined that this fee violated the federal Administrative Procedure Act and the Constitution, as Congress had not authorized such a charge. The ruling invalidates the controversial visa fee.
The Competition and Markets Authority (CMA) has granted publishers the right to opt out of AI usage in search results. However, because this option requires publishers to actively refuse AI integration and Google is delaying the release of crucial data needed to assess the impact, publishers find this right difficult to effectively exercise.
William Barlow, former IBM VP of threat intelligence, has filed a whistleblower lawsuit claiming IBM covered up multiple cyberattacks linked to Chinese state actors. According to Barlow, who left his role in August 2019, the company was aware of these breaches but chose not to report them to U.S. officials, raising serious concerns about corporate transparency and cybersecurity practices.
By Patrick Ip
Legal technology investment continues to surge, with a significant chunk focused on plaintiff-side AI applications. Last year, Goldman Sachs noted that 44% of legal tasks may be automated in the future, fueling enthusiasm for AI in legal software. Companies like EvenUp, Eve, Supio, and Darrow have collectively raised around $682 million, representing 71% of disclosed funding in legal AI. Plaintiff firms benefit from standardized workflows in client intake and case evaluation, making AI adoption more straightforward.
However, the defense side remains relatively unexplored despite its vast potential. Corporate legal teams managing extensive litigation portfolios still depend on fragmented tools such as spreadsheets and emails, lacking comprehensive software solutions that provide portfolio-wide insights into case risks, settlements, and costs. The complexity of varied workflows and longer sales cycles due to multiple decision-makers have slowed investment.
Yet, growing pressure and advancements in AI are beginning to address these challenges by enabling better risk assessment, benchmarking, and outcome analysis. For investors, this creates an appealing opportunity to back technology that can transform defense-side legal operations and build proprietary data assets. While no dominant venture-backed platform has emerged yet for defense litigation intelligence, this sector could be the next major frontier for legal AI innovation and investment.
Patrick Ip is the CEO and co-founder of Theo Ai, focusing on AI-driven litigation intelligence for defense teams and law firms.
Japan's Digital Minister Hisashi Matsumoto issued a stark warning that the nation risks becoming an 'AI colony' if it falls behind in technological advancements. The cautionary statement supports a proposed government bill aiming to amend the personal-data protection law, allowing AI developers access to medical and criminal records without needing prior consent. This move is intended to keep Japan competitive in the rapidly evolving AI landscape.
An advisory has revealed that Chinese operatives are leveraging public job platforms like LinkedIn to identify and recruit individuals who have access to confidential information. This tactic focuses on enticing professionals into sharing data that is not publicly available, raising concerns about corporate and governmental security.
