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    Agiloft Unveils Groundbreaking Generative AI for Contract Negotiation and Redlining

    Agiloft revolutionizes contract management with its new generative AI capability, streamlining contract negotiation and redlining, and enhancing efficiency in legal processes.

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    Agiloft Unveils Groundbreaking Generative AI for Contract Negotiation and Redlining

    In a significant advancement for the field of Contract Lifecycle Management (CLM), Agiloft, a global leader in data-first CLM software, has announced the launch of its new generative AI (GenAI) capability. This innovative feature is set to revolutionize the way legal and contract teams negotiate, review, and redline contracts, offering a solution to the often tedious and prolonged redlining process.

    Transformative Technology for Contracting

    Agiloft's GenAI capability is designed to understand approved clauses, review third-party contract language for misalignments, and compose redlines that blend third-party language with legal's preferred phrasing. "This greatly reduces the back-and-forth negotiations between parties, providing an express route to contract execution," said Andy Wishart, Chief Product Officer at Agiloft.

    The new GenAI feature allows users to leverage language from their clause library or create new content that matches their terms while closely conforming to the text of the contract under negotiation. Eric Laughlin, CEO at Agiloft, emphasized the role of AI as a "force multiplier" to assist customers in solving their biggest contracting challenges. "We see AI as an enabling technology that will supplement human decision-making, not replace it," he added.

    User-Centric and Pragmatic Approach

    Andy Wishart highlighted the human-centric design of the new feature, which has been integrated into Microsoft Word to assist contract professionals in aligning clauses with their organization’s acceptable terms. "Users may accept, reject, or modify suggested redlines, keeping users in control over the contracting process," he explained.

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