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Jylo announces Partnership with NetDocuments

Jylo partners with NetDocuments to deliver seamless AI-powered integration, advancing enterprise workflows and expanding its footprint in legal.

Article written by

Shawn Curran

Jylo is announcing a new partnership with NetDocuments, marking another major step in enabling seamless system-of-record integration within the Jylo AI platform. This integration strengthens Jylo’s ability to connect directly into the core document management environments that enterprises rely on every day, ensuring users can work with their data without friction. It follows closely on the heels of Jylo’s partnership with iManage, reinforcing Jylo’s commitment to embedding AI into the systems where critical work already happens.

Together, these partnerships signal Jylo’s clear trajectory as an enterprise-grade platform. By aligning with leading document management providers, Jylo is positioning itself as a central intelligence layer that enhances a firm's existing infrastructure. This approach allows organisations to unlock the value of AI while maintaining the integrity, governance, and familiarity of their current systems of record.

A key advantage of the NetDocuments integration is the strong alignment in custom metadata structures. This enables seamless binding of clients and matters, which is particularly critical in legal environments. As a result, organisations can maintain robust access control, enforce security policies, and enable precise routing of information. Users benefit from improved searchability and the ability to efficiently move content between systems while preserving context and compliance requirements.

Legal remains a core market for Jylo, and this integration further deepens our value in that space. We are increasingly bringing on customers who already rely on NetDocuments, making this partnership both strategic and highly practical. By meeting legal teams where they are and enhancing the tools they already trust, Jylo continues to accelerate adoption and deliver meaningful, workflow-driven AI capabilities.

Article written by

Shawn Curran

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