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ARTICLE · 31 OCTOBER 2025

AI Agents: Unique Risks To Consider, Efficiencies To Capture

Weil, Gotshal & Manges LLP
Weil, Gotshal & Manges LLP
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Weil, Gotshal & Manges LLP

Weil, Gotshal & Manges LLP

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As artificial intelligence ("AI") accelerates, a new class of tools is entering the fray: AI agents – systems that don't just respond to prompts the way large language models ("LLMs")...

United StatesTechnology
Olivia J. Greer
Olivia J. Greer
Liza Cotter
Liza Cotter
Tomide Owolabi
Tomide Owolabi

SMART SUMMARY

  • Agentic AI opens up new paths for efficiency gains, but it also introduces unique and heightened privacy and data protection concerns.
  • Interested private equity firms should recognize the regulatory and cyber implications up front, pilot the right use cases, and embed agentic AI into operations in a controlled, auditable way.

As artificial intelligence ("AI") accelerates, a new class of tools is entering the fray: AI agents – systems that don't just respond to prompts the way large language models ("LLMs") such as OpenAI's ChatGPT and Anthropic's Claude do, but can independently interact with third-party systems (often through Application Programming Interface ("APIs")) and execute multistep tasks to achieve user-defined goals.1 AI agents are designed to solve problems without the need for human oversight or prompting and are akin to personal assistants.

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