Tools & Platforms
AI to facilitate health predictability | News
Minister of Health and Wellness, Dr Christopher Tufton, says the use of artificial intelligence (AI) in health service delivery will facilitate health predictability.
Artificial intelligence is the process of using technology-driven data to assess, analyse, predict and influence outcomes.
Health predictability refers to the extent to which a person’s future health status can be anticipated, based on current or past data.
Speaking at a JIS Think Tank on July 2, the Minister pointed out that AI is now the driving force in healthcare in the developed world, citing countries like the United States, China and some in Europe.
“Essentially, it is the use of mass data to develop technology that provides minimally invasive arrangements that can be predictors of health and allows you to address health concerns,” the Minister said.
He further explained how AI can be used in the process of health predictability “by using volumes of data to establish patterns and using those patterns to make predictions”.
“If you look at a group of 100,000 persons in a particular age cohort, gender, location and lifestyle and you map the data and that data gives you an outcome that may be similar among all those people, then you can extrapolate that, or programme it to give you similar predictability with another population that meets that criteria,” the Minister noted.
“So, in very simplistic terms it can tell you that if you eat particular amounts of salt, sugar and fat you may be likely to develop (for example) heart disease and, therefore, the intervention is to adjust that, and you make those kinds of projections,” he added.
Tufton pointed out that if an individual’s body profile is of a particular state, that may be the result of a pattern of behaviour over a period of time, “so what the AI technology does, when used appropriately, is to give an opportunity for the kind of analysis that may help you to make adjustments for better quality and longer life”.
The Minister said that over time, health predictability has become more accurate as the technology evolves and that “Jamaica should now embrace it and see how it can fit into our cultural experience”.
The Minister has appointed a 10-member AI Technology Enhanced Care for Health (AI TECH) Expert Council to examine and recommend new systems utilising AI technology in healthcare delivery.
This, Tufton said, is a very fundamental move because “we see the evolution of technology that could make a significant difference in how we treat patients in their communities, their homes, and in hospitals”.
– JIS News
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Tools & Platforms
Relativity Scales Generative AI Availability Across Asia
RelativityOne users in five more countries will be empowered with enhanced document review and privilege identification capabilities
CHICAGO, July 7, 2025 /PRNewswire/ — Relativity, a global legal technology company, today announced that two of its generative AI solutions, Relativity aiR for Review and Relativity aiR for Privilege, will now be made available to all RelativityOne instances located in Hong Kong, India, Japan, Singapore and South Korea. Expanding on its previous availability, legal, investigation, and compliance teams in Asia will be equipped with the generative-AI powered document review solution and privilege review solution to help navigate the full spectrum of legal data challenges while reaping the benefits of better infrastructure and privacy.
“Asia’s diverse legal landscape presents unique and evolving challenges, and legal teams across the region need technology that can keep pace,” said Chris Brown, Chief Product Officer at Relativity. “Whether it be for litigation, regulatory responses, or internal investigations, Relativity aiR products provide the necessary features to manage large volumes of data more effectively. As adoption grows across the globe, and real-world use cases continue to demonstrate impact, Relativity’s customers and partners can feel confident in the power and practicality of AI in their workflows.”
Enhancing the capabilities of legal teams across Asia with intelligent tools
Customers and partners in five additional countries will now be able to leverage aiR for Review and aiR for Privilege to deliver exceptional efficiency and accuracy in document and privilege review. This regional expansion underscores Relativity’s commitment to providing innovative solutions that align with the evolving needs of legal professionals in Asia and across the globe.
“Customers in Asia are facing a perfect storm — small teams, complex and diverse data sources, multilingual review, and constant pressure from clients to cut costs,” said Stuart Hall, Principal at Control Risks. “The launch of Relativity aiR in Asia couldn’t be more timely, offering Control Risks’ customers a real opportunity to simplify and streamline cross-border investigations and disputes with smarter tools and workflows.”
The introduction of Relativity aiR products in Asia is bolstered by the region’s growing demand for secure, scalable legal technology. Built within RelativityOne, these AI tools allow firms to harness the power of automation without compromising security or performance. By operating in a cloud-native environment, legal and compliance teams can eliminate the burden of managing physical infrastructure, standardize workflows across jurisdictions and redirect resources toward strategic analysis.
In response to the growing volume of investigative matters, organizations will be able to utilize aiR for Review to support a wide range of use cases beyond litigation — including internal investigations into fraud, bribery, corruption and whistleblower complaints. Legal and compliance teams can also rely on the tool for Know Your Customer (KYC) reviews, cross-border data transfer assessments and anti-money laundering efforts. Its versatility extends even further, supporting M&A due diligence, risk assessments, trade secret theft inquiries, white-collar investigations and HR-related matters.
For organizations concerned with data protection, Relativity’s cloud-native products, including aiR, offer peace of mind with enterprise-grade security and privacy controls. Backed by the company’s in-house security team, Relativity embeds protection into every stage of its product lifecycle. This security-first approach ensures that as firms adopt cutting-edge AI tools, their information is properly safeguarded.
Looking ahead, Relativity remains focused on empowering users through innovation, delivering rich insights and addressing their most pressing needs. In the coming months, new capabilities will be introduced within aiR for Review and aiR for Privilege. One upcoming enhancement is aiR for Review’s prompt kickstarter capability, which will greatly reduce manual work related to prompt criteria development. Soon, users will be able to upload case background documents — such as review protocols or disclosure requests—and an expert prompt that drives aiR for Review will automatically be produced, allowing users to accelerate analyses. This feature produces a comprehensive matter overview, including key people, organizations, term descriptions and relevance criteria. From there, teams can refine prompts as needed, accelerating the review process and enabling practitioners to take immediate action.
Additionally, aiR for Privilege users will soon be able to find privileged content faster by automating context building that the AI uses to make decisions. Furthermore, a brand-new entity classifier will more accurately identify and classify the entities within each case. This enhancement will help better identify and define the roles of individuals and organizations in a matter, improving precision and efficiency in privilege review.
Unlocking new possibilities for innovation
To achieve their goals with greater precision and reduced overhead, more than 200 customers have embraced aiR for Review, while over 140 have chosen aiR for Privilege to support their workflows. The scalability and transparent natural language reasoning of this industry-leading technology help customers secure faster results while uncovering deeper insights from data.
KordaMentha, an independent and trusted advisory and investment firm working across industries throughout Australia and Asia Pacific, has transformed its legal discovery approach since adopting aiR for Review. The solution has surfaced insights that conventional methods would have overlooked entirely. A recent case study highlights how aiR for Review enabled a defensible and comprehensive review under a tight disclosure deadline, in total saving 25+ days and reducing costs by 85%. With subject matter experts leading the process, KordaMentha was able to uncover several unanticipated findings that drove organizational change.
“Whether as a renowned center for international arbitration, a market with extensive regulatory and investigative demands, or a source of exponential data growth, Asia is a dynamic region uniquely suited to Relativity’s aiR suite,” said Roman Barbera, Partner at KordaMentha. “Building on RelativityOne’s proven ability to navigate diverse languages and data types, aiR delivers exceptional scalability and insight. We’re excited to deploy this trusted and secure AI solution in a region where KordaMentha is already deeply embedded, and where the need for fast, intelligent and defensible data analysis continues to grow.”
In addition to the current aiR product availability, Relativity aiR for Case Strategy, a cutting-edge solution that makes it faster and simpler for litigation attorneys to extract facts, craft case narratives and prepare for depositions and trial, is currently in limited general availability and is expected to become generally available to all regions with access to aiR products later this year.
For more information about the expansion of aiR availability in Asia, please register for the webinar “Transforming Legal Work in Asia: Introducing Relativity aiR for Review and aiR for Privilege,” taking place on July 22. The webinar will offer a first-hand look at aiR for Review and aiR for Privilege through live demonstrations and real stories from early adopters who’ve already transformed their practices. Request a demo from the Relativity team here.
About Relativity
Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Please contact Relativity at [email protected] or visit www.relativity.com for more information.
Media Contact: [email protected]
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Player faith in technology shaken by storm around AI line-calling at Wimbledon | Wimbledon 2025
When the Wimbledon organisers announced last year that electronic line-calling would replace line judges for the first time at the Championships this year, plenty of criticism could have been anticipated. Some people would take issue with the more sterile landscape on court and the lack of human touch, while the cull of around 300 linesmen and women would also surely be a sore point. It is difficult, however, to imagine they were prepared for the firestorm that has followed its long-awaited implementation at this tournament.
Electronic line-calling, or ELC, which uses automated ball-tracking technology has, after all, long been used in professional tennis tournaments, starting with the Next Gen ATP Finals in 2018. It has been four years since the Australian Open became the first grand slam to utilise the technology and this year, for the first time, the men’s tour, the ATP, is using ELC at all of its events. Although all other men’s clay-court events use ELC, the French Open is now the only grand slam that still employs human line judges.
Instead of this year offering Wimbledon to step into the future, however, the All England Lawn Tennis Club (AELTC) has spent the first eight days of the tournament defending its implementation of the technology.
For the first five days of the tournament the most significant blows were the parting shots from Jack Draper and Emma Raducanu, the men’s and women’s British No 1 players, who each criticised the ELC system following their defeats. Both players believed they had been subjected to incorrect calls. “It’s kind of disappointing, the tournament here, that the calls can be so wrong, but for the most part they’ve been OK. It’s just, like, I’ve had a few in my other matches, too, that have been very wrong,” Raducanu said.
The AELTC maintained that the system was working optimally and that ELC remains considerably more accurate than the line judges it replaced. Wimbledon employs Hawk-Eye, one of numerous ELC providerswhich uses a system that incorporates 10 cameras placed around the court, and which track the bounce of the ball. Hawk-Eye states that its margin of error is 2.2mm. Wimbledon had previously used ELC only as a safety net, allowing players to challenge calls conducted by line judges.
“It’s funny, because when we did have linesmen, we were constantly asked why we didn’t have electronic line-calling because it’s more accurate,” Debbie Jevans, the chair of the AELTC, told the BBC.
Then came a disastrous series of events on Centre Court. As Anastasia Pavlyuchenkova held game point on her serve at 4-4 in the first set against Sonay Kartal on Sunday, a backhand from Kartal clearly flew long but it was not called out. After a lengthy delay, it emerged that some of the ELC cameras had not been functional on Pavlyuchenkova’s side of the court for some time during the game. The umpire Nico Helwerth opted to replay the point. Around 10 minutes later, after losing that service game, Pavyluchenkova faced a set point on Kartal’s serve.
In the end, the AELTC was fortunate with the outcome. Pavlyuchenkova, who told Helwerth the tournament had “stolen” the game from her, recovered to win both the set and the match, limiting the significance of the error. The AELTC announced in a statement on Sunday night that the ELC had been accidentally deactivated on Pavlyuchenkova’s side of the court by one of the operators running the system.
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Bright on Monday morning, the Wimbledon chief executive, Sally Bolton, fielded a contentious scheduled meeting with the media, which was almost entirely centred around ELC. Bolton asserted repeatedly that the mistake was purely down to human error, that the protocols had been changed to prevent a similar issue and that ELC has otherwise been working accurately during the tournament. At the very least, the situation with Pavlyuchenkova also underlined the importance of having contingency plans for when technology fails, including the possibility of umpires using video replay.
Since the implementation of ELC, player reaction has largely been positive as it was rolled out on hard courts, with players recognising the greater accuracy provided by the system compared to human errors. However, after numerous dramatic moments during the clay-court season, as some players were frustrated with the differences between the ball marks and the ELC’s judgments, the first week of ELC at Wimbledon has been a difficult one. It is clear that faith in its implementation on the surface has diminished and both privately and publicly, players and coaches have expressed scepticism about its accuracy. As the tournament moves into the latter stages, it remains to be seen if that faith will be restored.
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