eDiscovery

Reports and Research

Complete look: 2025 to 2030 eDiscovery market size mashup

The worldwide eDiscovery market reaches an estimated 19.61 billion dollars in 2025 and a projected 28.08 billion dollars by 2030, a reconciled 7.44 percent CAGR. Underneath the aggregate trajectory, data grows at roughly 35 percent annually, compounding into a 3.13-times productivity-per-dollar mandate that reshapes where eDiscovery dollars flow at the segment, task, and channel levels through 2030.

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eDiscovery and Information Governance Must Read

HaystackID earns Band 2 rankings in two 2026 Chambers guides

HaystackID advanced to Band 2 in the 2026 Chambers Crisis & Risk Management Guide and maintained Band 2 in the Chambers Litigation Support Guide, extending a nine-year recognition run. The rankings reflect growing overlap between cyber incident response, privacy review, regulatory disclosure and litigation support, as legal and compliance teams increasingly seek providers that can combine speed, technical depth and defensible workflows under one roof.

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Cyber Discovery and Cybersecurity

When the worm targets the assistant: Miasma turns AI coding agents into the trigger

GitHub disabled 73 Microsoft repositories after the Miasma campaign re-compromised Azure’s durabletask project, while researchers separately documented Miasma payloads that can detonate when developers open affected repositories in AI coding agents such as Claude Code and Cursor. Here is how the campaign spreads and what security, compliance and eDiscovery teams should do now.

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Reports and Research

Market Intelligence: eDiscovery market growth from 2012 to 2030

An 18-year reconciled view places worldwide eDiscovery spending at $4.73 billion in 2012 and a projected $28.08 billion in 2030 – a near six-fold expansion that surfaces software’s quiet takeover, review’s declining task share, and the data-volume gap as the central structural force shaping discovery economics.

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eDiscovery and Information Governance

HaystackID Brings AI Privacy and Discovery Stack to Dublin as European Compliance Pressure Mounts

HaystackID heads into the 2026 Dublin Tech Summit with an expanded European product set built around AI-driven privacy, DSAR response and deepfake forensics, and a regulatory thesis aimed squarely at the EU AI Act, NIS2 and DORA.

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Must Read Reports and Research

FutureLaw 2026 closes: hard truths, the billable hour, and what gets built next

FutureLaw 2026 closed in Tallinn with the conversation getting harder. Uwais Iqbal’s hard truths from 23,000 adjudications and Chas Rampenthal’s reading of Texas Opinion 705 anchored a day-and-a-half of sessions on predictive justice, productized law, and transnational legal infrastructure.

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eDiscovery and Information Governance

The EU’s E-Evidence Framework Goes Live in August and Most of Europe Isn’t Ready

The EU’s E-Evidence Regulation becomes applicable on August 18, 2026, but many member states and service providers may not be ready. This article explores the legal, technical, cybersecurity, privacy, and eDiscovery implications of a framework that will soon allow cross-border demands for electronic evidence on 10-day and even eight-hour timelines.

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eDiscovery and Information Governance Editors Pick

The April–May Compliance Crunch: A Practitioner’s Calendar for eDiscovery and Information Governance

Four compliance deadlines converge between April 18 and May 19, 2026 — NIS2 enforcement, the overhauled COPPA Rule, a federal vote on AI evidence standards under proposed FRE 707, and the TAKE IT DOWN Act’s platform requirements. Here is what eDiscovery and information governance professionals need to know.

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Reports and Research

A Complete Analysis of the Winter 2026 eDiscovery Pricing Survey

Generative AI is beginning to materially reshape eDiscovery economics, but pricing maturity has not kept pace with adoption. The Winter 2026 eDiscovery Pricing Survey shows stable benchmarks for forensic collection and hosting, persistent opacity in document review billing, and an emerging $0.11 to $0.50 per-document pricing zone for GenAI-assisted review that could challenge traditional review models.

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