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    Former DOJ Chief Launches AI Antitrust Firm

    India BBC News Editorial DeskBy India BBC News Editorial DeskNovember 9, 2026No Comments7 Mins Read
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    Kanter’s New AI Startup Aims to Level the Playing Field Against Big Tech Monopolies

    $245 million. That is the entire budget for the US Justice Department’s Antitrust Division in fiscal year 2026. It is a pittance. Nowhere near enough to fight the legal armies of companies worth trillions of dollars.

    Jonathan Kanter knows this better than anyone. He just walked away from the job that made him famous for suing Google and Apple. But he didn’t stop fighting. He just changed the weapon.

    Now, he is selling AI to the people who want to break up Big Tech. Kanter launched FluxCap with Doha Mekki, his former deputy. The team is a mix of ex-DOJ lawyers and Palantir engineers. They are building a tool that digests massive piles of discovery documents. It looks for patterns that human eyes might miss.

    The “Force Multiplier” Strategy

    The goal is simple: make a small legal team look like a large one. Kanter calls it a “force multiplier.” He told The Verge that enforcement is “existential” without these tools. He believes technology is the only way scarce resources can go further.

    The platform is not a magic bullet. It is a research assistant. It helps plaintiffs find holes in corporate logic. It sifts through emails and internal memos.

    It flags potential anticompetitive behavior. This is part of a broader wave of legal tech. But FluxCap is different. It was built by people who lived the fight.

    They know where the bodies are buried. They know how big companies hide their tracks. This experience is their real product. It is the difference between a generic chatbot and a sharp lawyer.

    Why Generic AI Fails in Court

    Every antitrust lawyer has tried ChatGPT. It fails. Kanter says generic tools miss the nuance. Law is not about right or wrong.

    It is about persuasion. A message from a CEO might look innocent on its face. But in context, it is a threat. FluxCap is trained to see that context.

    It understands the specific language of monopoly. It knows the subtle signs of coercion. This is hard to code. But the team spent months testing it.

    They used real case files. They simulated trials. The result is a tool that thinks like a lawyer. It does not just search.

    It reasons. Consider the Live Nation-Ticketmaster trial. The government played a phone call. The CEO warned a customer about a new arena. It sounded like small talk.

    But it was a “not-so-veiled” threat. The customer testified to this. Generic AI might miss the subtext. FluxCap is designed to catch it.

    It looks for the signals. It connects the dots. This is the kind of nuance that wins cases. It is also the kind of nuance that costs millions to find.

    Kanter’s team believes they can find it faster. They believe they can find it cheaper. That is the pitch. And it is a very hard sell to skeptical judges.

    The Resource Gap Is Staggering

    State attorneys general are the new front line. The Trump DOJ has stepped back. States are stepping in. A large state AG might have 10 people on a case.

    Ten people. Against a company with thousands of lawyers. It is a mismatch. Kanter sees this clearly.

    He says it is “not realistic” to win under these conditions. The imbalance is getting worse. The stakes are getting higher. The tools are not keeping up.

    This is why FluxCap exists. It is a bridge. It is a way to close the gap. Not completely.

    But enough. Enough to keep the fight alive. Enough to keep the pressure on. That is the hope.

    The DOJ itself struggled with resources. Kanter’s team got a $45.5 million grant. It was for tech modernization. They never got to use it.

    They left office before it was deployed. Now, they are building their own solution. It is more ambitious. It is more focused.

    It is built for the private sector. But the mission is the same. It is about accountability. It is about keeping power in check.

    The grant money is gone. But the knowledge remains. And the need is greater than ever. The fight moves on.

    The tools evolve. The players change. The goal stays the same.

    What This Means for India

    India’s Competition Commission of India (CCI) faces a similar dilemma. It has a small staff. It deals with massive conglomerates. The gap is even wider here.

    Indian regulators are under-resourced. They lack the digital infrastructure of their US counterparts. Kanter’s model could be a template. Imagine if the CCI had an AI tool.

    It could analyze market dominance reports faster. It could spot price-fixing patterns in telecom data. It could review merger filings with more depth. This is not just a tech story.

    It is a policy story. It shows where regulation is heading. India should be watching closely. The CCI needs to modernize.

    It needs to hire tech talent. It needs to embrace AI. Or it will be left behind. The cost of inaction is high.

    The cost of action is manageable. The choice is clear.

    For Indian startups, this is a warning. Big Tech is not just a competitor. It is a regulatory target. If AI tools make it easier to prove monopoly, the risk increases.

    Indian companies operating globally must be careful. Their data practices matter. Their pricing strategies matter. The global standard is rising.

    India must rise with it. The CCI cannot do it alone. It needs help. It needs tools.

    It needs will. The US experience offers a roadmap. It also offers a cautionary tale. Technology is not neutral.

    It is a lever. Who holds the lever matters. India must ensure the lever is used fairly. That requires investment.

    That requires political will. That requires time. And time is a luxury India can’t always afford.

    The Next Move in the Antitrust War

    FluxCap is just beginning. It has one client: Kressin Powers. It is in talks with others. The market is small but growing.

    The competition is fierce. Other legal tech firms are building similar tools. But Kanter has the brand. He has the credibility.

    He has the story. This gives him an edge. He is not just selling software. He is selling a philosophy.

    He is selling a fight. And in the world of antitrust, that is powerful. The next few months will be critical. Will states buy in?

    Will private firms adopt it? Will it change outcomes? We will see. The pilot is small.

    The potential is huge. The stakes are real. The war is just beginning. And the rules are changing.

    Fast. Look at the timeline. The DOJ tried these tools. They failed. The team left.

    They rebuilt. They improved. This iteration is key. It shows that failure is part of the process.

    It shows that adaptation is necessary. It shows that the fight is never static. It is always evolving. Kanter’s exit from DOJ was not an end.

    It was a pivot. It was a chance to innovate without bureaucratic drag. It was a chance to focus. And that focus is what makes FluxCap different.

    It is not a government project. It is a business. And businesses have to work. They have to be profitable.

    They have to be effective. That pressure drives innovation. It drives results. It drives change.

    And that is exactly what the antitrust landscape needs right now. FluxCap is an AI-powered legal research tool. It helps lawyers build antitrust cases. It analyzes large datasets for evidence.

    Frequently Asked Questions

    What is FluxCap?

    Who founded FluxCap?

    Jonathan Kanter and Doha Mekki founded it. Both are former DOJ antitrust officials. The team includes ex-Palantir engineers.

    How does it help state AGs?

    It acts as a force multiplier. It allows small teams to handle complex cases. It provides the capacity of a larger staff.

    Is this a threat to Big Tech?

    Yes, it lowers the cost of enforcement. It makes it easier to prove monopoly. It increases the risk for large corporations.

    Can India use this technology?

    Yes, the CCI could adopt similar tools. It would help with resource constraints. It would improve regulatory efficiency.

    Source: The Verge


    Source: The Verge

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