What investors are saying about Professional services & law

Summary

In the past 30 days, 4 people on 4 investor and market shows discussed Professional services & law in 5 views. Chorus has followed Professional services & law since October 14, 2026.

Who talks about it most

• Matt Zeigler · 2
• David Orr · 1
• Eric Zwick · 1
• Jan van Eck · 1

The latest views

Newest first. Every quote is checked against the episode's transcript.

• David Orr · Militia Capital

  Big law firm work is pure rot; AI could free the people doing it for useful work.

  Orr says nobody likes working at big law firms and they stay mainly for the pay. He asks what happens if those people start doing something useful, and calls big law pure rot as an example. The point is that AI could redirect talent away from low-value professional work. Max Wiethe pushes back that high-status jobs such as big law also signal class, so a replacement like carpentry may not take their place. Orr's case rests on his view of the work and the talent it absorbs, with no specific data.

  “Like, nobody likes working at the big law firms. They all hate their jobs... But what if all those kinds of people started actually doing something useful? The big law is a good example because that's just pure rot.”at 43:09

  Monetary Matters: Too Much Compute: Why This Top Hedge Fund Manager Believes AI is Heading for a Massive Oversupply | David Orr · November 11, 2026

• Eric Zwick · University of Chicago Booth School of Business

  AI will disrupt skilled services like law most, forcing law firms to change how they allocate talent.

  He sees more AI disruption in skilled services because much of the day-to-day work is the kind of task AI handles well. He expects AI tools to do much of that work at a fraction of the cost, pushing law firms to change dramatically in how they allocate talent and what they do with junior staff. In industries with high profits there is more room for AI disruptors, and incumbents that fail to adapt could be wiped out.

  “There are certain industries like these skilled services where I see more disruption because a lot of the day to day job is the kind of thing that AI is really good... I see law firms changing quite dramatically in how they allocate talent”at 53:27

  Prof G Markets: Meet The Millionaire Class That Really Runs America · October 23, 2026

• Jan van Eck · VanEck

  AI disruption of consulting is overstated, since AI doesn't unemploy people tied to software projects.

  Software and adjacent consulting firms that implement software projects at big companies are among the first industries AI is disrupting. Accenture is a leader in that area, and its stock has been destroyed. But AI doesn't unemploy the whole world or specifically the people directly related to software. AI has three components, data, software and people, and companies are shifting toward data, which still needs people.

  “And Accenture is a leader in that. And you can see how its stock got destroyed... it turns out that AI doesn't unemploy the whole world, right? And it doesn't specifically unemploy the people who are directly related to software.”at 18:33

  Thoughtful Money: The Big Squeeze: High Bond Yields Now Becoming A Problem For Stocks | Jan van Eck · October 21, 2026

• Matt Zeigler · Excess Returns

  AI roughly doubles to triples content output at his firm, with advisory productivity up 30 to 40%.

  Zeigler reports measured gains at his advisory and podcast business. For podcast production, including prep, editing, publishing and distribution, AI makes two or three people's work doable by the team of two or three, where they would previously have needed outsourcing. He puts the productivity gain on the advisory side of his practice at around 30 to 40%. He says the gains come from individual tools getting better, not yet from step changes. He expects an industry-wide step function next year or sooner, once tools talk to each other, though compliance layers slow that.

  “On the advisory side of my day to day work, I still think the productivity gains are probably, like, 30%, 30, 40%.”at 16:45

  Excess Returns: AI Productivity Is Real. 83% of Stocks Are 10% Off Highs. Why Does Barry Ritholtz Like Bonds Again? · October 14, 2026

• Matt Zeigler · Excess Returns

  AI meeting notes and document access make advisers better at recalling client life details, improving trust.

  Zeigler argues AI has strengthened the team-based model in his firm. Shared meeting notes and annual review notes are easy to access, which has increased team interactions with clients. Previously, an assistant had to read notes to remind an adviser to ask about a client's trip or a child's new job. Now a planning director can pull up a reconciliation from two years ago from the planning document. He calls this making advisers better at being human, and it is a positive human impact rather than a replacement of relationships.

  “The biggest lift of whether it's the meeting notes, whether it's the annual review notes, and the accessibility to those documents has increased the team based interactions with the individual clients on the other side.”at 24:24

  Excess Returns: AI Productivity Is Real. 83% of Stocks Are 10% Off Highs. Why Does Barry Ritholtz Like Bonds Again? · October 14, 2026