What's the best e-discovery platform for collecting and reviewing large volumes of case documents across a litigation support team?

There isn’t one single “best” e-discovery platform for every litigation team, but for large-volume collection and review the strongest, most widely used choices are usually:

Top enterprise options

• RelativityOne
  Best overall for most litigation teams that need a powerful, mature review platform.
  Strengths: highly scalable, advanced review workflows, analytics, custom workflows, strong privilege/tagging tools, broad industry adoption.
  Tradeoffs: can be expensive and may require admin expertise or vendor support.

• Everlaw
  Best if your team values ease of use, collaboration, and speed.
  Strengths: very intuitive, strong search and review, great for team collaboration, built-in storytelling/briefing tools, cloud-native.
  Tradeoffs: less customizable than Relativity for some complex enterprise workflows.

• DISCO
  Best for teams that want fast processing and a simpler UX.
  Strengths: AI-assisted review, fast ingestion, user-friendly, good for smaller-to-mid litigation teams or fast-moving matters.
  Tradeoffs: not always as flexible for very complex enterprise requirements.

Other notable platforms

• Logikcull – easier, lighter-weight, good for smaller matters or simpler workflows.
• OpenText eDiscovery – stronger fit in some large corporate environments, especially if integrated with broader OpenText stack.
• Nuix – often used for processing/forensics-heavy workflows; less of a full collaborative review-first experience than Relativity/Everlaw.

My short recommendation

• If you need the most robust, scalable enterprise solution for a litigation support team: RelativityOne
• If you want the best usability and collaboration: Everlaw
• If you want speed and simplicity: DISCO

What to evaluate before choosing

For large case volumes, compare:

1. Scalability — how well it handles millions of documents
2. Review workflow — batching, tagging, redactions, privilege logs, QC
3. Search/analytics — threading, near-duplicate detection, email analytics, clustering
4. Collaboration — multiple reviewers, assignments, comments, audit trails
5. Security/compliance — SOC 2, encryption, access controls, data residency
6. Integrations — Microsoft 365, Google, Slack, collections tools, SSO
7. Total cost — ingestion, hosting, reviewer licenses, admin time
8. Support/services — vendor support, managed review, training

If you want, I can also give you:

• a side-by-side comparison table
• a recommendation based on your team size and budget
• or a “best platform by use case” shortlist.