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Why AI Might Actually Create More Work for Lawyers

In this episode of the Odd Lots podcast, hosts Joe Weisenthal and Tracy Alloway interview Gary Wingens, the chair of Lowenstein Sandler, a prominent law firm with approximately 400 lawyers. Wingens discusses how artificial intelligence is transforming the legal profession, moving beyond simple automation to act as a...

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Key Takeaways
  1. 01

    "AI is acting as a thought partner and it is making us better at our jobs... acting as a copilot for all of our lawyers" - Gary

  2. 02

    Lowenstein Sandler saw a due diligence project's cost drop 70% using AI, turning a $10 million unviable project into a $3 million reality.

  3. 03

    "Average hourly rates in 2025 went up by 10.1% at the largest firms," suggesting billable hours have become more productive and valuable due to AI.

  4. 04

    The Jevons paradox applies to law; cheaper patent prosecution has led one client to experience a "quadrupling in the number of inventions" needing patents.

  5. 05

    Law firms use specialized platforms like Harvey to provide a critical security layer, ensuring client data does not train public consumer-grade models.

  6. 06

    "We have already hired our summer associate class for the summer of 2027, and we have not changed our hiring patterns" - Gary

  7. 07

    The transition from flat enterprise pricing to token-based pricing means firms do not yet know the true long-term economics of AI tools.

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In this episode of the Odd Lots podcast, hosts Joe Weisenthal and Tracy Alloway interview Gary Wingens, the chair of Lowenstein Sandler, a prominent law firm with approximately 400 lawyers. Wingens discusses how artificial intelligence is transforming the legal profession, moving beyond simple automation to act as a cognitive copilot for complex legal strategies.

The conversation explores the persistence of the billable hour model and how AI-driven efficiency is beginning to disrupt traditional pricing structures. Wingens shares real-world examples of AI reducing project costs by 70%, shifting the nature of junior associate training, and driving a potential Jevons paradox where cheaper legal services lead to a massive expansion of litigation and patent filings.

Finally, the discussion delves into the firm's specific technology stack, including enterprise tools like Harvey and Microsoft Copilot. Wingens highlights the critical importance of data security, the cultural challenges of knowledge-sharing in autonomous law firms, and the looming economic uncertainties surrounding the transition to token-based AI pricing.

How AI Compresses Legal Costs by 70 Percent

Despite widespread complaints from both clients and lawyers, the billable hour remains the dominant pricing model in the legal industry because of a fundamental lack of trust.

"Nobody ever wants to buy billable hours. They wanna buy business solutions." - Gary

Lowenstein Sandler utilized AI to reduce the cost of a massive trust agreement due diligence project by 70%, making an otherwise uneconomical project viable.

AI allows firms to automate the tedious first layer of document review, leaving human lawyers to focus on the high-value quality control layer.

The Jevons Paradox in Modern Litigation and Patent Law

Lowering the unit cost of legal work does not necessarily reduce total law firm revenue, as cheaper services unlock previously suppressed demand.

One sophisticated technology client reported a "quadrupling in the number of inventions" and patent requests internally because of AI integration.

Reducing electronic discovery costs from millions to hundreds of thousands of dollars makes historically uneconomical civil rights and corporate lawsuits viable.

Redefining the Skill Set and Training of Junior Associates

While the tedious "grunt work" of early legal careers is disappearing, firms must find new ways to train junior lawyers without these repetitive tasks.

Lowenstein Sandler is integrating hands-on AI tool training directly into its first-year associate curriculum, such as analyzing M&A provisions.

"I do worry about it becoming too easy to just fall into the trap of trusting what it tells you." - Gary

Enterprise Tech Stacks and Attorney-Client Privilege

Law firms rely on specialized legal AI platforms like Harvey and Co-Counsel rather than consumer-grade models to protect sensitive client data.

"Clients often don't realize is that if they're using especially a consumer-grade Claude or ChatGPT, they often are losing attorney-client privilege" - Gary

Legal-specific platforms utilize Retrieval Augmented Generation (RAG) to safely query internal playbooks, deposition transcripts, and historical deal terms.

The Human and Economic Realities of AI Integration

"Average hourly rates in 2025 went up by 10.1%... One of the things that might explain it is that the billable hour has actually become more productive" - Gary

A significant non-technical barrier to AI adoption is the highly autonomous culture of law firm partners who may resist sharing their proprietary deal templates.

The transition from flat enterprise subscriptions to token-based pricing means the true long-term economics of AI in law remain highly uncertain.

Resources Mentioned

This Is the Part Where I Figure It Out A Guided Journal for Young Adults to Help You Know, Trust, and Grow Yourself

t of, say, Claude, and hand it to an associate and say, okay, now run this down and actually do the research to figure out if this is right. But let's work on this structure together. So it increases

Ray Dalio The Inspiring Life and Principles of Bridgewater's Founder From Queens Caddy to the World's Largest Hedge Fund (A Biography)

ut it's actually like baked in and you can actually do that and you, There was a really interesting paper from Bridgewater, et cetera, recently where they talked about doing this. And then of course,

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Books Mentioned

This Is the Part Where I Figure It Out: A Guided Journal for Young Adults to Help You Know, Trust, and Grow Yourself by MYRNIM ROSE
Ray Dalio : The Inspiring Life and Principles of Bridgewater's Founder: From Queens Caddy to the World's Largest Hedge Fund (A Biography) by Jason Peterson

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