AI eDiscovery and Litigation Hold Complete Guide 2026: Relativity aiR vs Everlaw vs Reveal Brainspace vs DISCO vs Logikcull

<p>In 2026, AI eDiscovery and litigation hold (eDiscovery, Legal Hold, Document Review, TAR, Predictive Coding, Generative AI Legal Review) entered the era of "Relativity aiR at 98% of Am Law 200, Everlaw at 2,000+ firms including Skadden/Latham, Reveal Brainspace at 200+ large firms, DISCO Cecilia AI public, Logikcull self-service, and Lighthouse/KLDiscovery/Consilio managed services", delivering document review time -70% (1,000→300 hours/matter), outside counsel cost -50% ($500K→$250K), privilege review accuracy +30% (85%→98%), custodian interview time -60%, trial prep time -40%, investigation triage 3 days→4 hours, 80%+ recall/precision (TAR industry standard), massive linear-review reduction, and a 2030 market of $25B — making it essential infrastructure for litigation, investigation and regulatory inquiry. Generative AI (Relativity aiR for Review, Everlaw AI, DISCO Cecilia) + Predictive Coding (TAR 2.0 Continuous Active Learning) + concept search (Brainspace threading/cluster) + privilege detection + PII redaction + multi-language (CN/JA/DE/ES/PT/RU/AR) + mobile/chat data (Slack/Teams/WhatsApp/iMessage) + cloud sources (Microsoft 365/Google Workspace/Box) + modern attachments + forensic collection + chain of custody + Legal Hold automation integrate the full EDRM workflow from Identification → Preservation → Collection → Processing → Review → Production → Presentation. Compliant with FRCP, CCPA, GDPR, EU AI Act and Sedona Conference Principles. This guide compares 16 leading platforms with selection criteria and operating know-how.</p>

<h2>16 leading AI eDiscovery platforms</h2> <ul> <li><strong>Relativity aiR ($3.6B, 300,000+ users)</strong>: 98% of Am Law 200; aiR for Review/Privilege/Case Strategy; generative AI industry standard; RelativityOne cloud; $50K-5M/yr.</li> <li><strong>Everlaw ($2B, 2,000+ firms / Fortune 500)</strong>: Skadden/Latham/Quinn Emanuel; cloud native; StoryBuilder trial prep; $30K-2M/yr.</li> <li><strong>Reveal Brainspace ($1.5B)</strong>: 200+ large firms; AI-augmented review; Brainspace concept search/cluster wheel; $50K-3M/yr.</li> <li><strong>DISCO (NYSE:LAW $1B)</strong>: Cecilia AI; litigation/compliance/investigations; $30K-1M/yr.</li> <li><strong>Logikcull by Reveal</strong>: SMB-mid self-service; instant discovery; $25-300/GB/mo.</li> <li><strong>Lighthouse Discovery ($500M)</strong>: Managed service + tech; Fortune 500 legal; $200K-5M/yr.</li> <li><strong>KLDiscovery Nebula ($1B)</strong>: Global eDiscovery, 20+ country offices; $100K-3M/yr.</li> <li><strong>Casepoint ($200M)</strong>: Government/regulated; CCPA/GDPR; CJIS/FedRAMP; $80K-1M/yr.</li> <li><strong>Onna ($50M)</strong>: Knowledge integration; Slack/Teams source focus; $30K-500K/yr.</li> <li><strong>Hanzo ($30M)</strong>: Dynamic web/social media collection; $30K-300K/yr.</li> <li><strong>Exterro ($700M)</strong>: e-Discovery + privacy + information governance unified; $50K-1M/yr.</li> <li><strong>Conduent eDiscovery</strong>: Managed eDiscovery provider; $100K-3M/yr.</li> <li><strong>Consilio (Stone Point)</strong>: Top-3 eDiscovery provider; $200K-10M/yr.</li> <li><strong>CS Disco/Catalyst (OpenText)</strong>: Insight Predict TAR; $100K-2M/yr.</li> <li><strong>Opus 2 (UK)</strong>: Litigation case management + eDiscovery; Magic Circle adoption; $50K-500K/yr.</li> <li><strong>Zylab/Nuix/iCONECT/Ipro</strong>: Niche/mid-market; $30K-500K/yr.</li> </ul>

<h2>Scale-based stacks and 2026 trends</h2> <p>2026 optimal stacks: (A) Solo/small firm (<10 attorneys) = Logikcull $25-300/GB + Everlaw Lite = $3K/mo, self-service; (B) Mid-size firm (10-100 attorneys) = Everlaw $50K + Reveal Logikcull + Relativity Server = $150K/yr, TAR adoption; (C) Am Law 100 (100-1,000 attorneys) = Relativity aiR $500K + Everlaw $200K + Lighthouse Managed = $1M/yr, generative AI review; (D) Am Law 50/Magic Circle (1,000+ attorneys) = Relativity aiR $2M + Reveal Brainspace $500K + Consilio Managed = $3-10M/yr, multi-matter platform; (E) Fortune 500 in-house legal = Relativity aiR $1M + Everlaw $300K + Onna Knowledge = $2M/yr, self-service + outside counsel; (F) Government/regulator (SEC/DOJ/FTC) = Casepoint + Relativity Government + Conduent = $1-5M/yr, CJIS/FedRAMP compliant; (G) Investigation/forensic = DISCO + Hanzo Web Collection + Cellebrite Mobile = $500K-3M/yr; (H) MDL = Relativity aiR + Lighthouse + KLDiscovery = $5-30M/yr; (I) Corporate investigation (SOX/FCPA/UK Bribery Act) = Relativity aiR + Reveal Brainspace + Onna = $500K-3M/yr; (J) Privacy DSAR/SAR (GDPR/CCPA) = Exterro Privacy + OneTrust + Securiti = $200K-1M/yr. Critical practices: TAR 2.0 continuous active learning (predictive coding, 80%+ recall / 70%+ precision targets, statistical sampling, court-defensible per Sedona Principle 11); generative AI legal review (Relativity aiR for Review, Everlaw AI, DISCO Cecilia; privilege detection + issue coding + summary; managed hallucination risk); legal hold automation (custodian interview automation, hold notice issuance, acknowledgment tracking, release, audit trail, Zubulake/Pension Committee standards); chain of custody (Collection→Processing→Review→Production with hash verification, forensic images, FRE 901 admissibility); cost management (per-GB hosting, per-document review, linear vs TAR cost comparison, early cost estimate, phased production, cooperation doctrine). Roadmap: Week 1 demo Relativity/Everlaw/Reveal/DISCO with matter-style PoC; Month 1 platform contract + custodian source identification + legal hold issuance; Months 2-3 processing + TAR 2.0 training + privilege review; Year 1 review time -50% / outside counsel -30% / privilege accuracy +20pt; Year 2 firm-wide generative AI review + multi-matter platform; Year 3 agentic eDiscovery autonomously running Triage→Review→Privilege→Production.</p>