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WW

Winston Weinberg

03/11/25

@ Sequoia Capital

If we paused model development, the automation of legal work would still increase significantly due to the reasoning ability of current models.

Video

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How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

@ Sequoia Capital

How AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg

03/11/25

Related Takeaways

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Jake Heller

10/04/24

@ Y Combinator

The latest AI models, like OpenAI's, demonstrate a higher degree of precision and thoroughness in understanding nuanced legal texts, which previous models struggled with.

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Sergey Brin

05/24/25

@ Google for Developers

The ability to allow AI models to reason for extended periods, rather than just providing quick answers, can lead to significantly better outcomes for complex questions.

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Jake Heller

10/04/24

@ Y Combinator

We approached the development of our AI by breaking down the legal research process into steps, mimicking how the best attorneys would tackle a problem.

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Mike Krieger

05/09/25

@ Sequoia Capital

Our goal is to enable models to work autonomously for longer periods, which will require advancements in memory, tool use, and organizational onboarding.

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Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

Even if AI progress stalls, the economic value of automating white-collar work remains significant, provided we have the right data.

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Bob McGrew

02/01/25

@ Y Combinator

The current focus in AI development is on scaling models effectively, as the foundational challenges of reasoning and computation have been addressed.

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Y Combinator Cast

11/16/23

@ Y Combinator

Transforming raw AI models into usable products for lawyers involves significant work, including filtering relevant documents from vast amounts of data.

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Kevin Scott

05/20/25

@ Microsoft

The reasoning capabilities of AI models are improving, and we encourage developers to set ambitious goals for what they can achieve with these models.

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Anthropic Cast

06/16/25

@ Anthropic

As AI models become more intelligent, they will be able to handle longer-running tasks, making certain MCP primitives more relevant.