Theo AI announced the launch of its first-ever Mass Tort Defense Advisory Board in March 2026, bringing together five prominent defense attorneys and in-house legal leaders to guide the development of AI-powered litigation intelligence tools specifically designed for mass tort defense teams. The advisory board includes Robert Shapiro, an internationally renowned litigator and one of the National Law Journal’s 100 most influential attorneys in America, alongside specialized mass tort defense partners from three of the country’s leading litigation firms: Maron Marvel, Wheeler Trigg O’Donnell, and Campbell Trial Lawyers.
The board’s formation responds to a documented surge in corporate litigation. Federal tort cases have increased 20% since 2022, with multidistrict litigations (MDLs) now comprising approximately 50% of all civil cases. Despite this explosion in litigation volume, as Theo AI’s CEO noted, “There’s never been more lawsuits against corporations than now, and yet defense teams have minimal technology to battle back.”.
Table of Contents
- What is Theo AI and Why Did It Create a Mass Tort Defense Board?
- Who Are the Advisory Board Members and What Expertise Do They Bring?
- What Will the Advisory Board Do for Product Development?
- How Does This Fit Into the Broader Shift Toward AI in Litigation?
- What Are the Limitations and Challenges in Using Predictive AI for Defense?
- How Does This Connect to Rising Corporate Litigation and Mass Tort Volume?
- What Does the Advisory Board Announcement Signal About Theo AI’s Market Position?
What is Theo AI and Why Did It Create a Mass Tort Defense Board?
Theo AI is a legal prediction engine founded in 2024 by Patrick Ip (CEO, a former Google executive and serial entrepreneur) and Tiago Luchini (CTO, a five-time founder across legaltech, fintech, and biotech). The company was incubated at both Stanford University’s StartX and the University of Chicago’s ANVC, with research partnerships at Harvard University and Caltech. The platform uses AI to predict how likely a legal case is to settle and for how much, enabling lawyers to make data-informed decisions about litigation strategy.
The company had previously established a General Counsel Advisory Board in November 2025 with 15 legal leaders from major corporations including Bristol Myers Squibb, DocuSign, SentinelOne, and GoDaddy. However, the mass tort space presented a distinct challenge: defense teams needed specialized guidance on tools designed specifically for high-volume litigation, plaintiff identification, and case evaluation at scale. Unlike in-house counsel advising on corporate legal operations, mass tort defenders work under compressed timelines with hundreds or thousands of similar claims requiring rapid triage and assessment.
Who Are the Advisory Board Members and What Expertise Do They Bring?
The mass Tort Defense Advisory Board includes both seasoned private practitioners and enterprise legal leaders. Robert Shapiro, a partner at Glaser Weil, brings unmatched trial credibility. His career spans complex business litigation, class action defense, white-collar defense, SEC enforcement, and high-profile criminal defense. He is one of the National Law Journal’s 100 most influential attorneys in America—a distinction that reflects decades of courtroom victories and strategic influence in the litigation bar. Onofrio de Gennaro is a shareholder and chair of the Mass and Toxic Torts Core Legal Division at Maron Marvel, one of the country’s oldest and largest mass tort defense firms.
Juan S. Ramirez, a partner at Wheeler Trigg O’Donnell LLP, brings expertise in products liability and complex commercial defense across federal and state courts. John Angeloni, a partner at Campbell Trial Lawyers, focuses his practice on representing corporations in complex civil litigation nationwide. The board also includes two corporate legal leaders appointed to the General Counsel Advisory Board. Patrick Fang serves as Associate General Counsel at GEICO, heading its commercial law practice and bringing deep enterprise AI expertise. Ross Boughton, formerly Deputy General Counsel for Labor, Employment and Litigation at Lucid Motors, spent 15 years advising and defending employers in private practice before overseeing litigation, employment, and real estate legal functions at one of the automotive industry’s leading technology companies.
What Will the Advisory Board Do for Product Development?
The Mass Tort Defense Advisory Board will provide what Theo AI calls “direct practitioner guidance on product development, case analytics, and litigation strategy features tailored to defense-side mass tort teams.” This is a crucial distinction: while AI tools exist for many legal functions, few are built specifically for the economics and workflows of mass tort defense. Mass tort defense differs fundamentally from individual case litigation or in-house counsel work. Defense teams must evaluate hundreds or thousands of plaintiff claims simultaneously, often with limited discovery information.
They need to quickly identify weak cases, assess settlement leverage, understand jury pool dynamics in specific jurisdictions, and allocate limited expert resources efficiently. Theo AI’s predictive engine can flag cases most likely to settle at lower values, cases vulnerable to summary judgment, and claims that pose minimal trial risk—insights that directly impact defense strategy and resource allocation. By embedding these practitioners in the product development process, Theo AI gains real-time feedback on whether its predictions align with the actual decision-making that defense teams perform. For example, a prediction that a particular claim will settle at $500,000 is only useful if it also tells the defense team whether the case is worth investing in expert witnesses, whether early settlement signals strength or weakness, and how that prediction compares to similar cases in the same MDL or jurisdiction.
How Does This Fit Into the Broader Shift Toward AI in Litigation?
Theo AI’s advisory board strategy reflects a broader market recognition that artificial intelligence in law must be tailored to specific practice areas and stakeholder needs. The company has raised more than $10 million in funding, with a $3.4 million series A round led by Run Ventures, signaling investor confidence in the litigation prediction space. However, the company’s focus on defense teams is noteworthy because historically, legal technology has targeted plaintiffs’ counsel and in-house operations more heavily than defense practices. The shift toward defense-side tools addresses a market gap.
Plaintiff firms have long invested in litigation finance, case assessment tools, and settlement analytics because claimants need confidence in case value before pursuing expensive litigation. Defense teams, by contrast, have traditionally relied on institutional knowledge, partner experience, and informal peer networks to assess risk and negotiate settlements. As litigation volumes surge and stakes rise, this informal approach becomes increasingly untenable. A firm defending 500 claims across an MDL cannot rely on a single senior partner’s gut feeling about settlement value; they need scalable, data-driven intelligence.
What Are the Limitations and Challenges in Using Predictive AI for Defense?
Predictive litigation AI carries significant limitations that practitioners on the advisory board will likely address. First, historical data bias poses a risk: AI trained on past settlement outcomes may perpetuate historical imbalances in how cases are valued. If certain types of plaintiffs (based on geography, demographics, or injury profile) have historically received lower settlements, an AI model trained on that data may reinforce those patterns rather than challenge them. Second, litigation outcomes depend on unpredictable events: new scientific evidence, unexpected expert testimony, jury dynamics, judge assignments, and political change can all shift case value in ways no historical model can fully anticipate.
The 2020-2024 opioid MDL settlements, for example, shifted dramatically based on political pressures and state attorney general negotiations—factors that defy pure statistical prediction. Third, there is a professional and ethical risk of over-reliance on AI assessment. If a defense team uses Theo AI’s prediction that a case has minimal settlement risk and declines to invest adequately in defense preparation, and a jury unexpectedly returns a substantial verdict, the firm could face questions about whether it underestimated risk based on algorithmic guidance. The advisory board’s inclusion of experienced litigators suggests Theo AI is aware of this tension and is working to design tools that augment human judgment rather than replace it.
How Does This Connect to Rising Corporate Litigation and Mass Tort Volume?
The timing of the Mass Tort Defense Advisory Board announcement reflects documented growth in corporate litigation. Federal tort filings surged 20% between 2022 and 2026, with MDLs comprising roughly half of all civil cases. This shift has profound implications for corporate defense budgets and strategy. Companies facing mass tort exposure must now defend not just individual cases but portfolios of claims.
A single company might be defending claims across multiple MDLs (asbestos, pharmaceutical, environmental contamination, product defects) simultaneously. Each MDL has its own discovery rules, judge, local bar, and settlement history. Managing this complexity without AI-powered analytics becomes increasingly difficult. Theo AI’s advisory board brings practitioners who have themselves managed these massive portfolios—individuals who understand the specific pain points of defending hundreds or thousands of related claims across different courts.
What Does the Advisory Board Announcement Signal About Theo AI’s Market Position?
The advisory board expansion signals that Theo AI is moving beyond its earlier focus on in-house counsel and toward specialized services for large defense firms and their corporate clients. The company was originally positioned as a tool for General Counsels evaluating litigation risk and making settlement decisions. The addition of a dedicated mass tort defense board indicates the market opportunity in that segment is substantial enough to warrant specialized product development.
This positioning also reflects investor and market confidence in the legal AI sector, despite ongoing questions about AI accuracy in law. Theo AI has raised over $10 million, placing it in the upper tier of legal AI startups by funding. The involvement of nationally recognized figures like Robert Shapiro—a lawyer with options for where to spend his time—suggests there is genuine value in this tool for practicing attorneys, not merely venture capital enthusiasm for AI generally. Sources:.
- —
- [Theo AI Expands Council Leadership with Prominent Legal Figures, Launches First-Ever Mass Tort Defense Advisory Board](https://www.prnewswire.com/news-releases/theo-ai-expands-council-leadership-with-prominent-legal-figures-launches-first-ever-mass-tort-defense-advisory-board-302724229.html)
- [Theo AI: Predictive Legal Insights with Clarity | About](https://theoai.ai/about-us)
- [Start-up Corner: Theo AI, for litigation outcome prediction](https://legaltechnology.com/2025/08/26/start-up-corner-theo-ai-for-litigation-outcome-prediction/)
- [Legal AI startup Theo AI lands $3.4M to grow its predictive litigation tools](https://siliconangle.com/2025/11/12/legal-ai-startup-theo-ai-lands-3m-grow-predictive-litigation-tools/)