HomeAI NewsEx-DOJ antitrust chief Kanter launches FluxCap AI legal research tool

Ex-DOJ antitrust chief Kanter launches FluxCap AI legal research tool

The new startup sells an AI tool that helps plaintiffs build antitrust cases against large companies.

Jonathan Kanter, who led the Justice Department’s Antitrust Division until 2024, launched a startup called FluxCap with former acting division chief Doha Mekki. The team includes former DOJ staffers and former Palantir engineers, and it plans to expand beyond antitrust into other practice areas.

Kanter spent years bringing antitrust cases against Big Tech from inside the government. He frames FluxCap as a multiplier for enforcement, arguing that limited resources only go far enough with better tooling. The startup joins a growing wave of legal tech products built on large language models.

For legal teams and compliance operators, FluxCap points to a wider pattern of AI tools that read discovery troves and pressure-test an argument before trial. Kanter calls evidence retrieval the hardest engineering problem, since executives rarely state intent and surrounding context defines what a message means.

FluxCap launches focused on antitrust work and plans to extend into additional practice areas. Watch whether plaintiffs’ firms and state attorneys general adopt the platform, and whether AI-assisted case building draws scrutiny from courts over discovery and privilege.

What matters

  • Jonathan Kanter and Doha Mekki launched FluxCap, staffed by former DOJ and Palantir engineers.
  • The tool searches discovery materials and flags gaps in attorney logic, cutting research cost.
  • FluxCap starts with antitrust work and plans to expand into other legal practice areas.

Why it matters

FluxCap starts with antitrust work and plans to expand into other legal practice areas.

This GenAI News article was prepared in original wording using reporting and materials published by The Verge. Source reference: https://www.theverge.com/policy/1029652/kanter-doj-biden-legal-tech.

Drafted by the GenAI News review pipeline.

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