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2025 Ediscovery Innovation Report

The latest report from Everlaw, ACEDS, and ILTA offers an exclusive look into the minds of nearly 300 legal leaders. See how partners, general counsels, and litigation support professionals are navigating the current legal landscape and seizing the opportunities of the generative AI era.

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Key Findings from the 2025 Ediscovery Innovation Report

Leading Generative AI Adopters Save 260 Hours Annually

A new class of legal professionals is emerging, those who are not just using generative AI, but integrating it deeply into their daily practice. These leaders are seeing significant benefits, reclaiming hours, days, and weeks to focus on more strategic legal work. This isn’t just about efficiency; it’s about fundamentally rethinking how legal professionals operate and staying competitive.

Are you currently using or planning to use generative AI in your legal work?

Cloud Adopters Continue Leading Generative AI Adoption

Generative AI is rapidly becoming an indispensable tool in the legal field. Adoption numbers are rising, and more organizations than ever are planning for a generative AI future. This broad acceptance signals a significant transformation in how legal work gets done, as even the most hesitant are beginning to see its undeniable value.

How is your ediscovery software primarily deployed?

The Cloud’s Future Is In-House

Since the initial Ediscovery Innovation Report, Everlaw has consistently tracked organizations shifting to cloud-based ediscovery software and the resulting industry changes. Although the pace of cloud adoption has recently moderated, significant progress has been made with those hosting their cloud-based software in-house. This indicates that the future of ediscovery isn’t just in the cloud, but specifically within in-house managed cloud environments.

Generative AI Adoption Gap Narrows, But On-Prem Still Lags Behind

Cloud-based ediscovery software users are at the forefront of leveraging generative AI in their legal work, with a much higher rate of generative AI adoption compared to those with their ediscovery software deployed on-prem. This disparity is reflected throughout the industry, with cloud users showing a higher willingness to embrace generative AI across the board.