Relativity vs DISCO: eDiscovery AI Compared
Honest comparison of Relativity (with aiR) and DISCO for AI-augmented eDiscovery at law firms.
The short answer
- Relativity with aiR — Industry standard at AmLaw firms, deep customization, established ecosystem
- DISCO — Modern cloud-native challenger gaining share at firms valuing simpler operations and modern architecture
Feature parity
Both offer:
- Predictive coding / TAR
- Concept clustering
- Privilege detection
- Search analytics
- Production preparation
- Multi-matter management
Architecture
Relativity: Available cloud-hosted and on-prem. More customizable. Deeper at large-scale enterprise.
DISCO: Cloud-native. Simpler operations. Modern architecture.
Pricing
Both per-matter pricing scaling with document volume:
- Small matter: $5-20k typical
- Mid-size matter: $20-80k typical
- Large matter: $80-500k+ for major M&A litigation or class actions
When Relativity wins
- AmLaw firm with established Relativity infrastructure
- Complex multi-matter management
- Heavy customization requirements
- Existing Relativity-trained staff
When DISCO wins
- Mid-size firm wanting modern architecture
- Cloud-native preference
- Simpler operations requirement
- Faster deployment needed
What we deploy
For AmLaw firms working with us: typically Relativity due to existing infrastructure.
For mid-size firms: DISCO increasingly the choice for modern architecture.
For both: the platform choice matters less than the workflow discipline (TAR protocols, QC, defensibility).
Bottom line
Both are competent eDiscovery platforms with AI. Relativity is the AmLaw default; DISCO is the modern challenger. Choose based on firm scale, existing infrastructure, and operational preferences.
The platform choice matters less than:
- TAR protocol design
- Quality control discipline
- Defensibility documentation
- Attorney supervision
Frequently asked questions
Which is better, Relativity or DISCO?
Different fits. Relativity for AmLaw with existing infrastructure and customization needs. DISCO for mid-size firms wanting cloud-native simplicity. Output quality is comparable on most matters.
What do they cost?
Both are per-matter pricing scaling with document volume. Small matters: $5-20k. Mid-size: $20-80k. Large: $80-500k+. Specifics vary with platform terms and matter complexity.
Should I switch from Relativity to DISCO?
Major change. Workflow rebuild, staff retraining, integration adjustments. Don't switch unless specific reason justifies disruption. Many firms run both for different matter types during transition.
Do they require custom TAR training per matter?
Yes — both require seed set training per matter. Custom training is essential for defensibility. Most matters need iterative refinement to reach acceptable accuracy.
Which is more defensible?
Both are equally defensible when deployed with proper TAR protocols, sample validation, and documented process. Defensibility comes from operator discipline, not platform choice.
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