Why legal AI must meet the same standards as the lawyers using it

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As AI becomes part of everyday legal work, lawyers remain responsible for what they submit, making verifiable sources, transparent reasoning and professional oversight critical.

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Integrated Research launches Clarion to close the gap between what employees experience and what IT can see

Clarion, IR's first standalone SaaS product, brings employees and IT teams together in real time to answer the deceptively simple question behind a bad call: "Is it me, or the platform?" SYDNEY, Oct. 15, 2026 /PRNewswire/ -- Leading global observability software company Integrated Research (IR) (ASX: IRI) today launched Clarion, a lightweight observability solution that gives employees and IT teams proactive, real-time visibility into what is affecting their call and meeting readiness. Clarion is a standalone SaaS product built on IR's new AI-powered platform, Iris. Built for organizations with remote, hybrid and contact center workforces, Clarion addresses a persistent visibility gap between what an employee experiences and what IT can see. When a call drops, breaks up or simply does not work as expected, it answers the first question anyone asks: "Is it me, or the platform?" "Workplace communications rely on a technology recipe that includes multiple devices, home and corporate networks, and communications platforms. When any one of these ingredients is deficient the entire communication experience suffers, often critically. Fixing problems such as these can be complicated and time-consuming, overwhelming the IT team," said Ian Lowe, CEO and Managing Director of IR. Clarion solves this by giving both employees and IT teams real-time visibility of the deficiencies impacting communications. It also provides employees a pre-call health check. A lightweight widget on the employee desktop tells them, in plain language, what is affecting their calls and meetings. Fleet dashboards aggregate telemetry across the whole workforce, so IT teams can establish whether a problem is isolated or part of something wider. Where many monitoring tools track the network, device or platform in isolation, and only surface a problem after it has been reported, Clarion brings all these signals together in one real time view, often before a call is even affected. For an employee, that might mean seeing that weak Wi-Fi or headset connectivity is affecting a call and acting on it without contacting IT. When support is needed, Clarion captures the technical context around the issue, giving IT a far better starting point than a ticket reporting that 'something isn't working.' For IT teams, that same visibility surfaces warnings and critical issues across endpoints, exposes patterns, and allows them to drill down from a single device or connection to a problem affecting a wider group of employees. Clarion is designed to give employees that visibility while respecting their privacy. It observes the technology supporting their work rather than the employees themselves. It does not record screens, log keystrokes, track activity or idle time, or access what is said on calls. "Everything we have built has been about giving organizations visibility into the technology behind their most critical operations," said Lowe. "Clarion takes that in a new direction. As a standalone, cloud-native SaaS product, it gives us a simpler way to reach more organizations and more users." Clarion extends IR's enterprise observability portfolio, including Prognosis, Prognosis Elevate (observability-as-a-service), and AI Chat powered by Iris. Clarion is available from 15 October 2026 with a 30-day free trial. For more information or to request a demonstration, visit the website. ABOUT IR IR (ASX: IRI) is an Australian-headquartered global observability software company that helps organizations understand and manage the performance of business-critical communications, payments and infrastructure environments. For more than 30 years, IR has worked with leading global organizations across complex technology environments, providing the visibility and intelligence teams need to act with confidence.

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HQVT Debuts Multispectral AI Technology at Hong Kong Electronics Fair, Expanding Its Global Reach

HONG KONG, Oct. 15, 2026 /PRNewswire/ -- Shenzhen HQVT Technology Co., Ltd. ("HQVT" or the "Company", stock code: 1392.HK) is exhibiting its multispectral AI fire early warning portfolio at the HKTDC Hong Kong Electronics Fair (Autumn Edition) 2026, held from 13 to 16 October at the Hong Kong Convention and Exhibition Centre. Designed for data centres, power distribution systems and new energy facilities, the portfolio demonstrates a workflow connecting abnormal signal detection with on-site verification and response. With artificial intelligence and robotics among its main themes, this year's fair is expected to bring together more than 3,200 exhibitors from 15 countries and regions. Building on its exchanges at previous international exhibitions, HQVT is introducing its technology and product portfolio to Hong Kong and other regional markets. Buyers from Asia-Pacific, Europe and South America have visited the Company's booth for in-depth discussions. HQVT showcases its multispectral AI portfolio at the HKTDC Hong Kong Electronics Fair (Autumn Edition) 2026, including multispectral sensing terminals, the Zhiyuan Edge Hub and a quadruped inspection robot equipped with HQVT’s multispectral AI module. Detecting Invisible Signals for Earlier Risk Warning Data centres, power distribution systems and new energy facilities share several characteristics: densely installed equipment, complex electrical systems and potentially severe consequences from fire or equipment failure. These consequences can extend beyond damaged equipment to business interruption, asset losses and risks to personnel. In such settings, earlier risk identification is particularly valuable. Many electrical faults produce detectable physical signals before visible smoke or flames appear. A loose electrical connection, for example, may produce abnormal discharge or localised heating. These weak signals can be difficult to detect through visible-light monitoring alone. Multispectral AI helps operators identify such early signs of risk. Based on its proprietary "Optics-Sensor-Imaging-Computing" technical architecture, HQVT combines ultraviolet, infrared and visible-light sensing with AI analysis. Ultraviolet signals can indicate electrical discharge and early-stage flames, infrared data shows temperature distribution and abnormal heat, and visible-light images provide scene context. Analysing these signals together helps identify early risk indicators that conventional visible-light systems may miss. At the exhibition, HQVT demonstrated how multispectral sensing can turn otherwise invisible physical signals into risk indicators that operators can locate and investigate. The demonstration also illustrates the role of sensing and edge computing in physical AI, helping machines interpret conditions in the real world. Connecting Sensing, Edge Computing and On-Site Response HQVT's exhibition portfolio shows how on-site sensing, local analysis and personnel response can work together. At the sensing level, HQVT is presenting terminals for different deployment requirements. An industrial terminal for monitoring physical safety and a separate explosion-proof analyser address different installation conditions. A mini card-style terminal is intended for smaller sites and lightweight deployments, while a ceiling-mounted privacy-preserving terminal uses ultraviolet and infrared sensing without capturing visible-light images. These products help identify electrical discharge, abnormal heat and small flames in different operating environments. At the computing level, the Zhiyuan Edge Hub, powered by the NVIDIA Jetson chip, provides local computing capacity for HQVT's multispectral sensing devices. It analyses abnormal signals close to where they are generated, reducing data transmission latency and supporting local AI inference. The Hub can also combine information from multiple devices for system-level analysis, helping operators locate potential risks and assess relationships between different signals. For mobile inspection, HQVT's multispectral AI modules can be integrated into inspection robots to reach locations beyond the coverage of fixed devices. The system records risk indicators, retains supporting evidence and triggers alerts to assist personnel with on-site verification and response. Maintenance and follow-up inspection results are then documented, completing the workflow from monitoring and early warning to verification, corrective action and review. Building on Industry Experience to Advance International Deployment Deploying multispectral AI in complex settings requires long-term reliability under real operating conditions as well as accuracy in laboratory tests. Data centres contain densely installed equipment and complex electrical systems, while power facilities have strict continuity requirements. Effective solutions must adapt to different site layouts, process data locally when needed and integrate with existing safety systems. One visitor highlighted the sense of security offered by HQVT's solution. In discussing data centres and high-power EV charging facilities, the visitor identified electrical reliability and fire safety as key procurement considerations. HQVT's approach can help project designers address these risks earlier in the design process. The Company has served more than 2,500 customers in China and overseas. HQVT has recently stepped up its efforts to expand its international presence. In July 2026, HQVT signed a strategic cooperation framework agreement with Singapore-based LINKWISE TECHNOLOGY PTE. LTD. The agreement focuses on exchanges concerning multispectral AI technology, early risk warning requirements in high-value operating environments, and market conditions in Singapore and Southeast Asia. By participating in Data Centre World Asia 2026 in Singapore and the Hong Kong Electronics Fair, HQVT is gaining insight into market-specific requirements for certification, product configuration and system integration as it develops its international business. About HQVT Founded in 2013 and headquartered in Shenzhen, China, Shenzhen HQVT Technology Co., Ltd. is a multispectral AI technology company listed on the Main Board of The Stock Exchange of Hong Kong Limited under stock code 1392.HK. Based on its proprietary "Optics-Sensor-Imaging-Computing" technical architecture, HQVT has developed multispectral perception capabilities across ultraviolet, infrared and visible-light bands. Its products and solutions are used in data centres, power systems, energy facilities and other high-value scenarios. According to Frost & Sullivan, HQVT ranked first by revenue among multispectral AI companies in China and among multispectral AI large-model service providers in China in 2024 and 2025. For more information, please visit

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