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Generative AI for Legal Work

How companies should choose a law firm strong in generative AI

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Enterprises implementing artificial intelligence often seek outside counsel experienced in emerging technologies or skilled in reviewing vendor documentation. Ask how the firm would apply its legal knowledge to the company's day-to-day work.

Legal advice for the company's workflow

Useful questions for the firm include internal deployment boundaries, allowable data inputs, and risk allocation within supplier contracts. Selecting outside counsel requires confirming whether attorneys collaborate within real commercial workflows rather than delivering detached statutory summaries.

AI-assisted review and its limits

AI can help summarize contracts and prepare an initial set of revisions. Contract negotiations ultimately center on risk tolerance and internal stakeholder consensus. Proficient counsel recognizes technical gaps in automated analysis and applies the enterprise's distinct commercial standards before distributing proposed revisions to counterparties.

Review of AI vendor terms

Whether deploying or procuring machine-learning tools, organizations must analyze supplier terms: data input processing, training exclusions, output property rights, and liability limitations. Ask the lawyer to explain the data risks and how the terms affect the proposed business use.

A continuing corporate legal adviser

Partner selection rests on finding a dependable corporate advisor: one fluent in daily legal work, able to use AI where helpful while independently verifying legal conclusions, and prepared to support the company as it grows rather than offering detached commentary.

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