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Head-to-head · Legal eDiscovery Software

RelativityOne vs KLDiscovery Nebula

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score RelativityOne #1 in Legal eDiscovery Software 9.4/10 Pricing on request ✓ 3 of 3 features Visit RelativityOne
KLDiscovery Nebula #8 in Legal eDiscovery Software 8.5/10 Pricing on request ✓ 3 of 3 features Visit KLDiscovery

RelativityOne leads on 0 checks, KLDiscovery Nebula on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreRelativityOne · 9.4/10

RelativityOne scores higher on our rubric for legal ediscovery software: 9.4 against 8.5 out of 10; our editors rank them #1 and #8.

RelativityOne is the better fit for teams wanting a mature cloud eDiscovery platform. KLDiscovery Nebula is the better fit for large matters with advanced analytics needs.

  • RelativityOne fits best

    Teams wanting a mature cloud eDiscovery platform

  • KLDiscovery Nebula fits best

    Large matters with advanced analytics needs

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature RelativityOne 9.4/10 Visit ↗ KLDiscovery Nebula 8.5/10 Visit ↗
At a glance
Editor score 9.4 8.5
Ranking #1 in Legal eDiscovery Software #8 in Legal eDiscovery Software
Best for Teams wanting a mature cloud eDiscovery platform Large matters with advanced analytics needs
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan — Not checked yet
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Phone, Docs · 24/7 Email, Phone · 24/7
Compliance SOC 2, ISO 27001, HIPAA SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, 2FA
Integrations 11 integrations 4 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features RelativityOne 3/3 · KLDiscovery Nebula 3/3
Native file viewer ✓ ✓
Email threading ✓ ✓
Automated redaction ✓ ✓
Specs
Deployment Vendor cloud Not checked yet
Supported data sources Bloomberg, Box, Cellebrite, ChatGPT Enterprise, Claude, Google Workspace, iManage, Microsoft 365, Refinitiv Eikon, Slack, X1 Microsoft Teams, Slack, Google Chat, SMS, MMS, social media applications, email, Microsoft Exchange, SharePoint, PST files, loose files, forensic images, and legacy archives
Production formats TIFF, text, metadata, load files, native plus placeholder native files, images, text files, metadata, and ZIP packages
Included storage Not checked yet Not checked yet
Our review
Pros
  • Covers legal hold, collection, processing, review, redaction, and production
  • Connects with Microsoft 365, Slack, Box, Bloomberg, and other enterprise sources
  • Includes email threading, AI-assisted review, automated redaction, and native viewing
  • Predictive coding, clustering, and continuous active learning
  • Broad collection across chat, email, files, archives, and forensic images
  • Automated redaction, review workflows, audit trails, and production exports
Cons
  • Pricing requires a request and does not show public numeric plan prices
  • The broad workflow scope may exceed the needs of focused eDiscovery teams
  • Vendor-cloud deployment may not suit teams seeking open-source software
  • Pricing is handled through contact-sales requests
  • Listed integrations center on RelativityOne, Teams, Slack, and Google Chat
  • Deployment options vary across cloud, private cloud, and client-hosted environments
Our verdict

RelativityOne is a cloud-based legal data intelligence and eDiscovery platform for law firms, corporations, and legal service providers. Its workflow spans legal hold and preservation, collection from enterprise sources, document and email…

Read the review →

KLDiscovery Nebula is an eDiscovery platform for law firms, corporations, and legal teams handling litigation, investigations, regulatory matters, and internal reviews. It brings together data ingestion, early case assessment, intelligent…

Read the review →
  1. RelativityOneLegal eDiscovery Software 9.4Pricing on request
  2. KLDiscovery NebulaLegal eDiscovery Software 8.5Pricing on request

Strengths and trade-offs

  • RelativityOne — where it wins

    • Covers legal hold, collection, processing, review, redaction, and production
    • Connects with Microsoft 365, Slack, Box, Bloomberg, and other enterprise sources
    • Includes email threading, AI-assisted review, automated redaction, and native viewing

    Where it doesn't

    • Pricing requires a request and does not show public numeric plan prices
    • The broad workflow scope may exceed the needs of focused eDiscovery teams
    • Vendor-cloud deployment may not suit teams seeking open-source software
  • KLDiscovery Nebula — where it wins

    • Predictive coding, clustering, and continuous active learning
    • Broad collection across chat, email, files, archives, and forensic images
    • Automated redaction, review workflows, audit trails, and production exports

    Where it doesn't

    • Pricing is handled through contact-sales requests
    • Listed integrations center on RelativityOne, Teams, Slack, and Google Chat
    • Deployment options vary across cloud, private cloud, and client-hosted environments
  • RelativityOne9.4/10 · Pricing on request

    A mature cloud eDiscovery platform spanning legal hold, review, AI workflows, and production.

    Visit RelativityOneFull verdict →
  • KLDiscovery Nebula8.5/10 · Pricing on request

    A broad eDiscovery platform for complex matters requiring advanced analytics and review workflows.

    Visit KLDiscoveryFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update