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Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as generative AI gains traction, legal teams face a new challenge: creating a technology stack that offers the best balance of efficiency, cost and usability.
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The transition from on-premise e-discovery systems to a cloud-native platform like RelativityOne is now at the heart of legal technology strategy for organizations racing to modernize discovery, compliance, and client service. While the promise of greater scalability, automated upgrades, and advanced analytics is motivating, a RelativityOne migration is a journey, rich in both complexity and opportunity.
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This is the first article in a two-part series dedicated to examining the evolving landscape of e-discovery for legal professionals. Part One addresses the complex challenges and established best practices associated with migrating e-discovery processes to the cloud, emphasizing perspectives from law firms and legal IT specialists.
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One of the most revealing contradictions in today’s legal landscape is hiding in plain sight. Mobile data now plays a role in more than 75% of e-discovery matters, yet fewer than half of legal teams say they see it in even half of their cases. In an era of encrypted messaging, BYOD policies, and dispersed workforces, this isn’t just an oversight, it’s a liability.
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Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this transformation unfolds, understanding precisely what is realistic now, what’s imminent on the horizon, and what remains purely speculative is essential for legal professionals and e-Discovery technologists alike.
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Hyperlinked files, unlike traditional email attachments, are dynamic versions of themselves, so it is as if they evolve in motion. Often stored externally from the collaboration platform, they represent a fundamental shift in how organizations manage and secure evidence for legal cases.
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One of the most striking themes coming out of Legalweek 2025 was the clear shift in how law firms are beginning to operationalize generative AI — and who’s driving that transformation.
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As organizations enhance their e-discovery processes and infrastructure, the expectation to leverage technology to maximize service delivery increases. However, legal professionals must balance innovation with humanity.
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This article considers how an organization might consider handling information generally, through the lens of a specifically troubling subset of information: ephemeral messages.
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Automation is transforming industries across the board, and the legal sector is no exception. In the realm of e-discovery, automation is revolutionizing how legal teams manage their workflows. This article explores how automation impacts critical workflows for legal teams in e-discovery and provides valuable use cases and actionable tips to ensure that your e-discovery processes are positively impacted by automation.