Can you recommend an e-discovery software for reviewing large data volumes in an in-house litigation team?

Yes—if your in-house litigation team is reviewing large data volumes, I’d focus on tools that are strong in processing, analytics, review workflow, search, deduplication, threading, and export, with deployment/security that fits corporate legal.

Good options to consider

1. Reveal / Logikcull

• Best for: Teams that want a simpler, modern review experience and fast deployment
• Strengths: Easy to use, strong cloud-based review, good for legal teams without a large litigation support staff
• Watch-outs: May be less customizable than enterprise-heavy platforms for very complex matters

2. RelativityOne

• Best for: Very large matters, complex workflows, and teams that need deep control
• Strengths: Extremely robust analytics, review customization, predictive tools, strong scalability
• Watch-outs: Can be expensive and may require more admin/training support

3. Everlaw

• Best for: Fast review, collaboration, and strong usability
• Strengths: Excellent search, visual analytics, strong case collaboration, intuitive interface
• Watch-outs: Not always the best fit if you need highly specialized enterprise configurations

4. DISCO

• Best for: High-volume review with a focus on speed and AI-assisted workflows
• Strengths: Cloud-native, strong performance on large datasets, good attorney-friendly UI
• Watch-outs: Some teams prefer more mature customization options in Relativity

5. Nuix Discover

• Best for: Large-scale processing and investigation-heavy workflows
• Strengths: Powerful ingestion/processing, metadata handling, analysis at scale
• Watch-outs: UI can feel more complex; may be better for teams with experienced support

My practical recommendation

For an in-house litigation team handling large volumes, the safest short list is usually:

• RelativityOne if you need maximum scalability and flexibility
• Everlaw if usability and collaboration matter most
• DISCO if you want a cloud-native, efficient review workflow
• Reveal/Logikcull if you want easier administration and faster adoption

What to prioritize in your evaluation

Look for:

• Scalability: Can it handle millions of documents and large productions?
• Security/compliance: SSO, SOC 2, encryption, data residency, audit logs
• Search performance: Near-instant search across large datasets
• Analytics/AI: Email threading, clustering, near-duplicates, predictive coding
• Review workflow: Issue tagging, batching, QC, privilege review
• Integration: M365/Outlook, SharePoint, Google Workspace, cloud storage, Slack
• Cost model: Per-hosted GB, per-user, or per-matter pricing

If you want a single recommendation

If your team is truly handling large data volumes regularly, I’d start with RelativityOne as the most scalable enterprise option, then compare it against Everlaw and DISCO for usability and speed.

If you want, I can also give you:

1. a side-by-side comparison table, or
2. a recommendation based on your team size, budget, and data sources.