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Ridger Delivers MUX Private AI Deployment to Shum Wong & Co., Solicitors in Hong Kong

SINGAPORE – Media OutReach Newswire – 30 October 2026 – Ridger, an AI infrastructure company, today announced the official delivery of its MUX private AI solution to Shum Wong & Co., Solicitors in Hong Kong. The solution features MIMO, the world’s first AI-native storage system, making Shum Wong & Co., Solicitors the first law firm in Hong Kong Northern Metropolis to deploy it.

Representatives from Ridger, Shum Wong & Co., Solicitors, xFusion, and Richee at the delivery ceremony for the first MUX private AI deployment in Hong Kong Northern Metropolis.
Representatives from Ridger, Shum Wong & Co., Solicitors, xFusion, and Richee at the delivery ceremony for the first MUX private AI deployment in Hong Kong Northern Metropolis.

Representatives from Ridger, Shum Wong & Co., Solicitors, xFusion, and Fadada’s RicheeAI team attended the delivery ceremony. During the event, Ridger presented the firm with the “Global AI Pioneer Law Firm” certificate in recognition of its forward-looking investment in private AI infrastructure.

The solution brings together AI-native storage and compute infrastructure, a dedicated large language model (LLM) environment, and AI applications tailored to legal workflows. Operating entirely within the firm’s own security perimeter, it marks a significant step toward enabling Hong Kong’s legal profession to harness the productivity of generative AI while safeguarding client data and meeting compliance requirements.

About the Deployment

In space-constrained Hong Kong, Ms. Careen H.Y. Wong, Founding Partner of Shum Wong & Co., Solicitors and Vice President of The Law Society of Hong Kong, set aside room in the Firm’s latest office in the Northern Metropolis for a standard equipment rack, ready for on-premise AI. It is more than a space decision: it reflects her view of the future of legal services—that while harnessing AI to improve efficiency, a firm must retain control of its data and technology boundaries, so that sensitive materials are always properly protected.

Under the engagement, Ridger built a privately owned, independently operable AI foundation for Shum Wong & Co., Solicitors, comprising high-performance storage and data infrastructure optimized for AI workloads, together with a dedicated LLM platform over which the client retains full control of model weights and the inference environment. The platform supports use cases including contract review and risk flagging, legal research and case-law retrieval, large-scale document review in due diligence, drafting and multilingual translation of legal documents, and internal Knowledge Base question answering. It also provides role-based access control, tiered permissions, comprehensive audit trails and content provenance to meet enterprise-grade governance requirements.

Called MUX, the private solution lets the firm begin with no barrier and without capital-intensive build-out or a dedicated server room, scaling on demand; it natively supports Hong Kong’s common law system and integrates seamlessly with existing systems such as email, document management and calendar, embedding AI into lawyers’ daily work. MUX can be ordered directly through Ridger’s website (https://ridger.tech), out of the box.

The delivery reflects the collaboration of legal expertise, AI infrastructure, compute platforms and industry applications: Shum Wong & Co., Solicitors defined the requirements for data confidentiality and on-premise deployment from its actual practice; Ridger provided the end-to-end MUX solution and led its design and integration; xFusion supplied the FusionXpark local AI compute platform and technical support; and Fadada provided the Richee Legal AI Agent Platform, leveraging specialized AI agents and skills to support lawyers in their daily work and improve workflow efficiency. Ridger notes that while an AI model determines capability for a moment, AI infrastructure determines long-term competitiveness.

Why Private AI Matters for the Legal Sector

1. Safeguarding client confidentiality and legal professional privilege

Client materials, transaction documents and dispute information handled by law firms are protected by legal professional privilege (LPP) and strict professional duties of confidentiality. Disclosure to third parties—including public cloud services—may be treated as a waiver of privilege, causing it to be lost and the materials to become disclosable in subsequent proceedings. Private deployment keeps storage, processing and inference entirely within the firm’s own environment, with no disclosure to external providers, preserving privilege and confidentiality at source.

2. Embedding data sovereignty and regulatory compliance

The solution aligns with Hong Kong’s Personal Data (Privacy) Ordinance (Cap. 486) and is designed with reference to the Privacy Commissioner’s “Checklist on Guidelines for the Use of Generative AI by Employees” and the “Model Framework on AI: Personal Data Protection,” as well as The Law Society of Hong Kong’s 2024 position paper on the impact of AI on the legal profession and the Manifesto on “Legal Ethical Code of Conduct Regarding the Deployment of AI.” It embeds the principles of lawfulness, transparency, traceability, interpretability, security and appropriate human oversight into a unified AI governance framework.

For a firm handling cross-border work, the same private environment also addresses the requirements of the major jurisdictions: for Mainland China, it aligns with the Personal Information Protection Law, the Data Security Law and data-export mechanisms such as security assessments and standard contracts; for Europe, it maps to the EU General Data Protection Regulation (GDPR) and standard contractual clauses; for the United States, it meets the confidentiality and competence duties under the ABA Model Rules of Professional Conduct and Formal Opinion 512 on generative AI. Because data always remains within the firm’s own perimeter, the firm can confidently meet local data-confidentiality and regulatory expectations wherever its clients are based.

3. Eliminating the hidden risk of “shadow AI”

Where a firm offers no convenient, approved AI tool, individual lawyers may turn to consumer-grade public chatbots for work, creating “shadow AI” that sits outside IT and compliance visibility—unapproved, unlogged and unaudited, with unknown data flows and no clear accountability. MUX channels that demand into a single, visible, auditable controlled environment, giving lawyers the efficiency they want while bringing every use under the institution’s governance and oversight.

4. Keeping institutional knowledge within the firm

The case law, templates and practical know-how accumulated by a firm are core competitive assets. A private platform continuously refined on the firm’s own corpus keeps these assets within the institution and compounds their value over time, rather than depositing them with an external vendor.

5. Ensuring control and business continuity

Private deployment insulates the firm from external API changes, model versioning, service outages or shifts in vendor strategy, giving it full control over capabilities, upgrade timing, cost and availability — a foundation for durable, long-term AI adoption.

Executive Quotes

“For industries built on trust and confidentiality, such as the law, the value of AI should never come at the price of data sovereignty,” said Ray Hu, General Manager Asia-Pacific Region of Ridger. “Private deployment lets a firm turn generative AI into auditable, governable and sustainable productivity without crossing confidentiality lines. We are proud to set this benchmark with Shum Wong & Co., Solicitors”

Ray Hu, General Manager Asia-Pacific Region, Ridger

“In Hong Kong, office space is scarce and precious, but data sovereignty is worth setting aside a place for. Building our own AI infrastructure lets us embrace AI while always safeguarding our clients’ trust and the boundaries of our profession.”

Careen H.Y. Wong, Founding Partner, Shum Wong & Co., Solicitors, Solicitors

Hashtag: #Ridger #MIMO #MUX #PrivateAI #LegalAI #AIInfrastructure #HongKong


The issuer is solely responsible for the content of this announcement.

Ridger Company Limited

Ridger is a technology company focused on data and storage infrastructure for the AI era. The company provides private, high-performance AI infrastructure and solutions that enable enterprises to deploy and run large models and AI applications within their own security perimeter. Through its proprietary storage and data management technologies, Ridger helps clients safeguard data sovereignty, security and compliance while fully realizing the business value of artificial intelligence.

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Joint study shows emerging markets will generate 60% of new online spending over the next decade — most of it from consumers without a credit card

SINGAPORE – Media OutReach Newswire – 21 October 2026 – Asia is projected to add 702 million middle-class adults between 2026 and 2036, three-quarters of all middle-class growth in emerging markets, according to a new study from World Data Lab (WDL) and EBANX, a global technology company specializing in payment services for emerging markets.

Emerging markets will add USD 8.7T in online spending by 2036
Emerging markets will add USD 8.7T in online spending by 2036

But this new consumer class will not shop the same way developed-market consumers do: by 2036, only 20% of adults in emerging markets will hold a credit card, against 66% in developed markets.

Global online spending is projected to grow from USD 11 trillion in 2026 to USD 25.6 trillion in 2036. Emerging markets add USD 8.7 trillion of that increase (60% of all new online spending), with China (USD +4.7 trillion) and India (USD +1.3 trillion) leading this growth. Indonesia (USD +243 billion), Brazil (USD +249 billion) and Mexico (USD +191 billion) form the next tier.

The categories matter as much as the markets. Online gaming spending in emerging markets grows 14% a year over the decade, the fastest of any category, and SaaS nearly 10%. Emerging markets will generate 76% of global growth in social media spending and 64% in SaaS.

The demographic picture challenges a common assumption. Consumers aged 45 and over account for 51% of emerging markets’ online spending growth through 2036, and spending by those aged 65 and over grows 12% a year, faster than any other age group.

The outlook was discussed during “Navigating Payments: How innovation and fragmentation are changing the game for e-commerce,” a webinar co-hosted by World Data Lab (WDL) and EBANX.

“Over the next ten years, people aged 45 and over will add USD 4.4 trillion in online spending in emerging markets, half of all the growth. Some of them already shop on their phones and will keep doing so as they get older. Others will buy online for the first time in their fifties or sixties. Merchants who build their checkout only for a 25-year-old will miss both groups,” explained Wolfgang Fengler, CEO of WDL.

The study models consumer spending, demographics, and financial access across 184 countries to 2036, drawing on the World Bank’s Global Findex and WDL’s consumer models, combined with EBANX’s experience processing payments for global merchants in emerging markets since 2012.

“If your checkout only takes credit cards, you are competing for one in five adults in emerging markets and conceding the other four”, said Marie-Elise Droga, Chief Revenue Officer of EBANX. “The merchants growing fastest with us didn’t wait for cards to arrive: they added the payment rails their customers already use, and they’re taking new buyers, bigger baskets and recurring revenue that card-only competitors can’t even see.”

834 million new online buyers, 281 million new credit cards

Between 2026 and 2036, the global economy will add 834 million online buyers but only 281 million credit card holders—a ratio of nearly three to one. In emerging markets, two in three new online buyers (67%) will arrive without a credit card. Adults without it already account for 55% of online spending in emerging markets, a share that rises to 90% in India and 93% in Sub-Saharan Africa. Credit cardless adults also represent 52% to 59% of spending in every digital category, from gaming and SaaS to streaming and travel.

Digital payment use is also running ahead of online shopping. Of the 2.6 billion emerging-market adults spending between USD 6 and USD 25 a day, 70% already pay merchants digitally while only 33% buy online, leaving at least 957 million digitally active consumers who are not yet online buyers. Many hold a bank account or mobile wallet but no card that works at an international checkout.

“This is closely tied to the innovation that came out of the financial industry in emerging markets, which developed solutions for an increasingly mobile economy and for the habits of local consumers. Today, we call them local payment methods, or LPMs, and they allowed e-commerce growth to decouple from the credit card, which still has very low penetration in these countries,” said Estelita Hass, head of Market Intelligence at EBANX.

Subscriptions are the next frontier — and India shows why

Recurring categories such as streaming, SaaS and online education will reach USD 2.1 trillion a year in emerging markets by 2036, with USD 1.1 trillion coming from adults without a credit card. In India, 82% of recurring online spending will be cardless. Account-based recurring rails are beginning to close that gap: a global SaaS company saw a 20% uplift in new subscribers after adding UPI at checkout in India, and cybersecurity company Nord Security now generates 28% of its revenue in Brazil through Pix Automático, Brazil’s recurring instant payment, six months after launching it with EBANX.

The webinar presentation is available at [LINK].

Hashtag: #EBANX #WorldDataLab #Fintech #Payments #EmergingMarkets #Consumers

The issuer is solely responsible for the content of this announcement.

ABOUT EBANX

EBANX is the leading technology platform connecting global businesses to the world’s fastest-growing digital markets. Founded in 2012 in Brazil, EBANX was built with a mission to expand access to international digital commerce. Leveraging proprietary technology, deep market expertise, and robust infrastructure, the platform enables global businesses to offer hundreds of local payment methods and streamline cross-border payments across Latin America, Africa, and Asia. With a global footprint, it established a technology and regulatory headquarters in Singapore in 2026. More than just payments, EBANX drives growth, enhances sales, and delivers seamless purchase experiences for businesses and end users alike.

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