Former DOJ Antitrust Chief Launches AI Tool for Small Legal Teams

Jonathan Kanter, who left the Justice Department’s Antitrust Division in 2024, is now tackling monopolies from the private sector with an AI‑driven legal‑research platform. Alongside former acting chief Doha Mekki, he launched FluxCap, a startup that promises to give small legal teams the analytical horsepower of a twenty‑person squad.

What happened

According to The Verge, FluxCap combines proprietary technology with large‑language models to automate research, analysis, and discovery review for antitrust cases. The platform is trained to surface factual and legal frameworks that determine case viability and to flag logical gaps in attorneys’ arguments. Kanter describes the tool as a “force multiplier” that can sift through massive discovery piles, looking for signals of anticompetitive conduct.

The team behind FluxCap includes former DOJ staffers and ex‑Palantir engineers, and its first customer is antitrust boutique Kressin Powers. Kanter says the service provides “the manpower of roughly 20‑plus people working around the clock,” allowing a small team to challenge a corporate legal department that may have dozens of lawyers and vast resources. The startup is initially focused on antitrust matters but plans to expand into other practice areas.

Kanter notes that earlier attempts to use generic AI tools like ChatGPT or niche products such as Harvey fell short on nuance. To address this, FluxCap’s developers spent months testing the system with real and hypothetical cases, including the Live Nation‑Ticketmaster trial, where contextual cues—like a recorded phone call—were critical to the argument. The Verge reports that the DOJ’s Antitrust Division received a $45.5 million grant from the Tech Modernization Fund for better case‑management tools, but Kanter’s team never got to deploy it before his departure.

Why it matters for small‑business leaders

Even if your company isn’t currently facing an antitrust suit, the emergence of AI‑powered legal tech reshapes the risk landscape for every small business that relies on fair competition. By lowering the cost of sophisticated legal analysis, tools like FluxCap could embolden state attorneys general, consumer groups, or even private competitors to bring actions that might have been prohibitively expensive before. This shift means small firms must be more vigilant about compliance, data‑sharing practices, and market‑dominance signals that could attract scrutiny.

Moreover, the venture highlights a broader governance question: as AI becomes a “great equalizer” in litigation, regulators will need to consider how to ensure transparency, prevent bias, and protect privileged information processed by such systems. Small companies that adopt AI for internal compliance should watch how external AI tools are regulated, because any future mandates on explainability or data handling could affect both sides of the courtroom.

What to do this week

1. Review your antitrust risk checklist—ensure your pricing, exclusivity, and data‑sharing agreements are documented and defensible.
2. Conduct a brief audit of any AI tools you use for legal or compliance work to confirm they meet emerging transparency standards.
3. Schedule a 30‑minute call with your counsel to discuss how AI‑driven discovery platforms like FluxCap might impact future litigation strategy.

Sources

• Jonathan Kanter is using AI to take on Big Tech — The Verge - Policy