Everlaw is the best AI for document review — best UX in e-discovery, predictive coding that actually works, and AI features that reduce review time by 50-70%. The document review market has four tiers: Everlaw for best experience, Relativity AIR for most established platform, DISCO Cecilia for cutting-edge AI, and Logikcull for self-service budget work. Your choice depends on case volume, budget, and how much you want to manage the platform yourself.
Everlaw — Best Overall UX and AI Features
Everlaw wins on user experience. The interface is modern, intuitive, and doesn't require a litigation support specialist to operate. The AI features — predictive coding, concept clustering, AI-assisted privilege review — are integrated into a workflow that associates can actually use without training. The prediction models improve as reviewers code documents, getting smarter throughout the review. Cloud-native, so no infrastructure to manage. Pricing is per-GB (typically $25-$75/GB/month depending on volume). Best for firms that want powerful AI without a steep learning curve. The trade-off: it's not the cheapest option, and very large-scale reviews (10M+ documents) can get expensive on the per-GB model.
Relativity AIR — Most Established Platform
Relativity AIR (AI-powered Review) is the market leader by install base, and the AI features have caught up to the competition. AIR for Review uses large language models to code documents with explanations — not just relevant/not-relevant, but why. The platform handles massive document sets and integrates with the Relativity ecosystem that most large firms already use. Pricing varies by deployment (RelativityOne cloud vs. on-premises). Best for firms already in the Relativity ecosystem or handling enterprise-scale reviews. The learning curve is steeper than Everlaw, but the platform handles complexity that simpler tools can't.
DISCO Cecilia — Most Advanced AI (Agentic Review)
DISCO's Cecilia AI is the most aggressive bet on AI-first document review. It operates as an agentic reviewer — autonomously coding documents with reasoning, not just pattern matching. Cecilia doesn't just flag documents as responsive; it explains its reasoning in natural language, letting reviewers audit the AI's logic. The platform is pushing toward first-pass review handled entirely by AI with human oversight. Pricing is competitive with Everlaw on a per-GB basis. Best for forward-leaning firms willing to trust AI for first-pass review and focus human reviewers on judgment calls. The risk: it's newer, and some courts and opposing counsel may push back on AI-heavy review protocols.
Logikcull — Best for Self-Service / Budget Reviews
Logikcull is the self-service option — no litigation support team required, no complex setup, flat per-GB pricing that's transparent. Upload documents, the platform processes them, and basic AI features handle deduplication, concept search, and simple categorization. The AI isn't as sophisticated as Everlaw or DISCO, but it works for straightforward reviews. Pricing starts around $25/GB with no minimums. Best for small firms, in-house teams handling internal investigations, or matters where the document set is manageable (under 500K documents) and the budget is tight.
The E-Discovery AI Spectrum
Think of it as a spectrum from self-service to full-service. Logikcull: self-service, simple matters, budget-friendly. Everlaw: best UX, mid-to-large matters, no Relativity dependency. Relativity AIR: enterprise scale, existing Relativity shops, maximum flexibility. DISCO Cecilia: AI-first approach, firms betting on autonomous review. Most firms don't need to pick just one — use Logikcull for small matters and Everlaw or Relativity for complex litigation. The AI capabilities across all four platforms are converging, so UX, pricing, and integration with your existing stack should drive the decision.
The Bottom Line: Everlaw for best overall experience and AI capabilities. Relativity AIR if you're already in that ecosystem. DISCO Cecilia if you want the most advanced AI. Logikcull if you need self-service on a budget.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.
