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Datavault AI to Present Tort Litigation Tokenization at Mass Torts Made Perfect Conference

By Burstable Legal Team•
Datavault AI will showcase its tokenization technology for tort litigation at the Mass Torts Made Perfect conference, signaling a potential shift in how legal claims are funded and managed.
Datavault AI to Present Tort Litigation Tokenization at Mass Torts Made Perfect Conference

Datavault AI Inc. (NASDAQ: DVLT), a provider of data monetization, credentialing, digital engagement and real-world asset tokenization technologies, announced it will participate in the Mass Torts Made Perfect conference from Oct. 13-15, 2026, at the Bellagio in Las Vegas. CEO Nathaniel T. Bradley is scheduled to present at 3:45 p.m. PT, highlighting the company's potential capabilities in tokenizing tort litigation. Throughout the event, Datavault AI executives will meet with mass tort practitioners, litigation funders, and legal industry partners to explore opportunities for applying its tokenization technology within the legal sector.

The announcement matters because it signals a potential convergence of blockchain-based asset tokenization and mass tort litigation, a legal domain that often involves thousands of claimants and complex funding structures. Tokenization could offer a new way to manage, transfer, or monetize litigation claims, possibly increasing liquidity for plaintiffs and funders while introducing novel regulatory and ethical questions. For legal professionals, this development suggests that technology providers are actively courting the litigation finance market, which could lead to new tools but also new compliance challenges.

Datavault AI describes itself as leading the way in AI-driven data experiences, valuation and monetization of assets in the Web 3.0 environment. Its cloud-based platform provides comprehensive solutions with a collaborative focus in its Acoustic Sciences and Data Sciences divisions. The Acoustic Sciences division features WiSA, ADIO and Sumerian patented technologies and industry-first foundational spatial and multichannel wireless, high-definition sound transmission technologies with intellectual property covering audio timing, synchronization and multi-channel interference cancellation. The Data Science division leverages Web 3.0 and high-performance computing to provide solutions for experiential data perception, valuation and secure monetization.

The company's platform serves multiple industries, including high-performance computing software licensing for sports and entertainment, events and venues, biotech, education, fintech, real estate, healthcare, energy and more. Its Information Data Exchange enables Digital Twins and the licensing of name, image and likeness by securely attaching physical real-world objects to immutable metadata, fostering responsible AI with integrity. The technology suite is fully customizable and offers AI- and machine-learning-based automation, third-party integration, detailed analytics and data, marketing automation and advertising monitoring. Datavault AI is headquartered in Philadelphia, PA.

For investors and legal industry observers, the move into tort litigation tokenization could represent a significant expansion of Datavault AI's addressable market. The latest news and updates relating to DVLT are available in the company's newsroom at https://ibn.fm/DVLT. More information about Datavault AI can be found at https://dvlt.ai.

The conference presentation was announced via Web3MediaWire, a specialized communications platform focused on next-generation internet technologies. It is one of 75+ brands within the Dynamic Brand Portfolio at IBN that delivers access to a vast network of wire solutions via InvestorWire, among other services. The full press release is available at https://ibn.fm/MaFGv. Readers should review the full terms of use and disclaimers on the Web3MediaWire website applicable to all content provided by W3MW, wherever published or re-published: https://www.Web3MediaWire.com/Disclaimer.

Burstable Legal Team

Burstable Legal Team

@burstable

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