ComplexDiscovery OÜ and EDRM Release Complete Analysis of the Winter 2026 eDiscovery Pricing Survey

Key Takeaways

• 53 practitioners surveyed Dec‑Feb 2025‑26
• Forensic collection rates $250‑$350 per hour
• Data hosting pricing commoditized across market
• GenAI review per‑document $0.11‑$0.50
• Hybrid and per‑document AI models each 28%

Summary

ComplexDiscovery OÜ and the Electronic Discovery Reference Model released the full analysis of the Winter 2026 eDiscovery Pricing Survey, the fifteenth semi‑annual Pricing Pulse study. The survey gathered 53 practitioner responses between December 2025 and February 2026, covering forensic collection, data processing, hosting, document review and GenAI‑assisted review. Traditional service rates have steadied—forensic collection sits at $250‑$350 per hour—while AI‑assisted review pricing remains fragmented, with hybrid models and per‑document fees ($0.11‑$0.50) each representing about 28% of pricing structures. The findings highlight a market split between AI adopters and the broader eDiscovery community.

Pulse Analysis

The eDiscovery landscape has long relied on periodic pricing surveys to inform budgeting and vendor selection. ComplexDiscovery’s Pricing Pulse, now in its fifteenth edition, partners with the EDRM to deliver independent, data‑driven benchmarks that span forensic collection, data processing, hosting, and review services. By publishing the complete analysis, the firms provide legal and compliance professionals with a transparent reference point, especially valuable as generative AI technologies become integral to review workflows.

The survey reveals a clear stabilization in traditional service categories: forensic collection and examination rates have converged around $250‑$350 per hour, and infrastructure hosting costs have become largely commoditized. In contrast, GenAI‑assisted review pricing shows no such convergence. Approximately 28% of respondents use hybrid pricing models, while another 28% bill per document within a $0.11‑$0.50 range, directly challenging the economics of human review. This split indicates that organizations adopting AI are already operating under a distinct cost structure, leaving non‑adopters at a strategic disadvantage if they continue to benchmark against outdated human‑review rate cards.

For legal operations teams, the implications are immediate. Accurate budgeting now requires incorporating AI‑specific cost variables, and vendor contracts must reflect the emerging per‑document or hybrid pricing models to avoid surprise overruns. The U.S.‑centric data, which historically sets global pricing trends, suggests that international firms will soon feel similar pressures as AI adoption spreads. Staying competitive will depend on leveraging these benchmarks to negotiate favorable terms, align technology investments with realistic cost expectations, and monitor the evolving price dynamics as the market continues to fragment around generative AI.