Regulatory Consulting at Cornerstone Research

Overview

Cornerstone Research is a top-tier economic and financial consulting firm specializing in expert testimony and analysis for complex litigation and regulatory proceedings, closely associated with elite securities, antitrust, and valuation work. Its AI relevance is concentrated where AI meets high-stakes disputes: as generative AI drives new waves of securities litigation (over AI-related disclosures and ‘AI-washing’), antitrust scrutiny (over AI market power and platform conduct), and IP litigation (over training data and outputs), Cornerstone’s economists are the kind of experts retained to analyze materiality, damages, and competitive effects. The firm’s brand is built on defensible, rigorous work for cases that turn on quantitative economic questions, and it collaborates with prominent academic experts to bring cutting-edge methods to novel problems. As securities regulators and private plaintiffs increasingly test how existing disclosure and consumer-protection law applies to AI, Cornerstone sits in the expert layer that translates those claims into economic analysis a court can weigh.

AI-Focused Regulatory Work

Cornerstone Research’s AI exposure is clearest in securities and financial litigation, an area where AI has already generated a distinct enforcement and litigation trend: companies accused of overstating AI capabilities (‘AI-washing’) face SEC scrutiny and shareholder suits, and the economic questions — was an AI-related statement material? did it move the stock? what are the damages? — are exactly what Cornerstone’s securities economists quantify. The firm’s antitrust and competition work extends the same expert credibility to AI-market cases, and its valuation practice is relevant as AI reshapes company valuations, M&A, and the pricing of AI-related assets and IP. Cornerstone’s model — full-time analysts working alongside a roster of affiliated academic experts — gives it the theoretical depth to handle questions with little legal precedent, which describes most AI disputes. As with its peers, expert economic work is confidential, so Cornerstone’s specific AI engagements are rarely visible, and the honest characterization is that it is a high-credibility litigation-economics firm whose AI relevance grows as AI policy becomes enforceable through securities, antitrust, and IP cases — rather than a publisher of public AI policy frameworks. For a directory focused on who shapes AI policy in practice, Cornerstone belongs in the economic-expert tier: the analysts who help courts and regulators resolve the financial and competitive claims AI is now generating.

Notable AI Policy Work

• Provides securities-litigation economic analysis — materiality, loss causation, and damages — directly relevant to the rising wave of AI-disclosure and ‘AI-washing’ shareholder suits and SEC enforcement.
• Works antitrust and competition matters where AI market power and platform conduct are at issue, providing expert testimony and econometric analysis.
• Brings valuation expertise relevant to AI’s impact on company valuations, M&A, and the pricing of AI-related assets and IP.
• Collaborates with affiliated academic experts to apply cutting-edge economic methods to novel, low-precedent AI questions.
• Serves elite litigation-support engagements across securities, antitrust, and valuation — sectors where AI-related disputes are growing fastest.

Thought Leadership

1. Cornerstone Research — Antitrust & Competition
   The practice through which Cornerstone engages AI-market competition and merger questions in litigation and regulatory proceedings.
2. Cornerstone Research — insights & research
   Cornerstone’s economic analysis across securities, antitrust, and valuation — the disputes where AI-disclosure and AI-market questions increasingly surface.

Clients

Law firms, corporations, and regulators retaining Cornerstone for expert testimony in securities, antitrust, and valuation disputes. Draws on a network of affiliated academic experts; specific engagements are confidential.