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

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.

16 leading AI eDiscovery platforms

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

Scale-based stacks and 2026 trends

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.