Tools & Platforms
How to Use AI While Minimizing Environmental Harm
Opinions expressed by Entrepreneur contributors are their own.
The use of artificial intelligence is on the rise across almost every industry, and the ways it can be used are expanding as we speak. AI can be tremendously beneficial across a variety of fields, but it can also have drawbacks — one of them being a substantial impact on the environment.
The energy consumption required to power AI is significant. Power-hungry AI processors burn through a lot of energy quickly. Creating an image, for example, can use as much power as it takes to charge your phone.
The infrastructure that supports this process also requires the use of other resources, such as water, to cool the systems and prevent overheating. An AI prompt uses as much water as a 16-ounce bottle for every 5-50 interactions.
Despite the negative impact AI use has on the environment, it is not going away. It is becoming a necessity to be competitive in just about any market, so avoiding AI entirely isn’t a practical option. The key is to be intentional: knowing when and how to use AI is vital to your business and to the planet.
Related: World Environment Day 2025: Can AI Fix the Energy Problem It Helped Create?
AI policies: What they are and how to use them
We recommend implementing an AI policy in your company to guide your organization on when to use AI and when not to. This ensures your team’s usage will align with company values, standards and legal requirements in order to maximize benefit.
While providing this type of framework will not mitigate the environmental impact of your AI usage, it can give you more control over when you’re making the environmental tradeoff of using AI.
When and how should you use AI?
AI is a part of the modern business environment, and there are a few ways in which it can have a maximal impact on your business, keeping you competitive while being selective about how you’re impacting the environment.
1. Use AI to increase efficiency
AI can drastically increase the efficiency of your team if used correctly. When used to take on mundane tasks, AI can eliminate human error and increase productivity. When entering data, for example, humans can easily make costly mistakes. AI does not make those types of mistakes and can also flag errors made by humans. The amount of efficiency that you can gain back using AI is critical to staying competitive in the market, so this is the best place to use AI in your business.
2. Use AI to enhance your team and client experience
The use of AI to enhance the workplace experience of your team and the service experience of your customers can increase satisfaction for all parties involved. By reducing the time it takes to deal with the nitty gritty, humans can move on to more satisfying things that can increase happiness and productivity while giving your clients the seamless experience that your competitors will be rivaling via their use of AI-enhanced tools.
AI-enhanced customer service experiences are becoming increasingly standard, with clients expecting quick and tailored service and responses. This is something that companies broadly will have to keep up with to stay competitive.
On the team side, AI can help increase satisfaction in the workplace by streamlining communications, scheduling and resource management. While face-to-face teamwork is important, most employees would agree that too much of their time is spent in unnecessary meetings. No one will complain when your AI policy helps take the drudgery out of their day.
Related: When AI Meets Climate
When should you not use AI?
When choosing how to implement AI into your business operations while minimizing your environmental impact, there are some key situations where using AI does not make sense.
1. Avoid AI simply “for fun” or for tasks that can be easily done without AI
Most people would agree that AI has some fun uses, but it just isn’t worth the environmental impact. For example, using AI to create images or videos that are not necessary is not a good use of resources.
Using AI for basic research that could be found using other resources is not an efficient use of the technology, so rather than asking AI for help with every small task, your team’s training should include the type of tasks that can be done without AI. Generating an entire presentation with AI, for example, rather than using existing templated slides, may not be the best environmental tradeoff.
2. Don’t use AI for anything that requires nuanced communication or emotional intelligence
AI doesn’t yet understand how to handle delicate situations. Though the communication it generates can sound conversational, since AI is purely input-driven, it can often miss the context that sensitive matters require. Rely on your team’s ability to handle these situations with tact, and therefore reduce your use of AI.
3. Don’t use AI when it takes away from the human experience
As valuable as AI is, your team is more valuable and should be your top priority. If your company’s use of AI is taking away from the experience and learning of your humans, that is counterproductive.
Your human team members should have the opportunity to learn how to do tasks before handing them over to AI. If they don’t have the chance to build the skills foundational to their job, they are missing out on experience that could benefit their future, your company and the field at large. For example, while doctors with years of experience can benefit greatly from using AI to look at medical scans, a resident should have the opportunity to develop an eye so that they know what to look for when making a diagnosis.
The AI field continues to grow and change by the day, so plan to regularly monitor and educate yourself on the ongoing impact of AI on the environment, quality of the tools and the competitive landscape of AI use in your industry, and update your AI policy accordingly.
If you implement AI use in your organization in an intentional way, you can reap the benefits and avoid overusing the technology, which will help reduce your company’s environmental impact while staying relevant.
The use of artificial intelligence is on the rise across almost every industry, and the ways it can be used are expanding as we speak. AI can be tremendously beneficial across a variety of fields, but it can also have drawbacks — one of them being a substantial impact on the environment.
The energy consumption required to power AI is significant. Power-hungry AI processors burn through a lot of energy quickly. Creating an image, for example, can use as much power as it takes to charge your phone.
The infrastructure that supports this process also requires the use of other resources, such as water, to cool the systems and prevent overheating. An AI prompt uses as much water as a 16-ounce bottle for every 5-50 interactions.
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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]
Logo – https://mma.prnewswire.com/media/445801/new_Relativity_logo_Logo_v2.jpg
Tools & Platforms
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.
Tools & Platforms
Committee Encourages Georgia Courts To Adopt, Govern AI
Georgia should begin pilot programs tailored to specific use cases of artificial intelligence across each class of court or jurisdiction, an ad hoc committee established by retired Chief Justice Michael P….
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