From Pilot to Production — StreemView Services
StreemView isn’t a self-serve tool you figure out on your own. Our team works directly with legal teams and service providers to set up workflows, validate pipelines, and ensure every matter runs efficiently from day one.
Pilot Program
See It on Your Own Data
The most compelling proof is the pipeline working on your data. StreemView's pilot program is a guided, hands-on walkthrough using a real custodial export — not a sales demo on synthetic data.
What’s Included
- Guided ingestion of a real Purview custodial export or Slack/Discord workspace
- Live demonstration of threading, attachment linking, and deduplication
- Hands-on Preservation Only loading with selective activation walkthrough
- Full AI, search, and reduction pipeline demonstration
- RSMF export set to your review platform of choice
- Side-by-side volume comparison: legacy approach vs. StreemView
Implementation & Onboarding
From Pilot to Production
Structured onboarding for legal teams and service providers deploying StreemView across their matter portfolio. We don't hand you a user manual and disappear — we build your workflow with you.
What’s Included
- Workflow design tailored to your matter types and volume
- Team training on ingestion, search, tagging, and production
- Integration configuration for your review platform of choice
- Standard operating procedure documentation
- Hypercare period with direct access to the StreemView team
Managed Discovery
We Run the Pipeline
For legal teams that need StreemView's capabilities without building an internal workflow. StreemView's team handles ingestion, processing, reduction, and RSMF production on your behalf.
What’s Included
- Managed ingestion from Purview, Slack, Discord, or mobile extraction
- Quality-controlled processing through all four reduction layers
- Pre-RSMF search and filter with client-defined search criteria
- RSMF production delivered to your review platform
- Matter-level reporting on volumes, reduction rates, and costs
Data Acquisition & Collection
Expert Collection, Anywhere in the World
StreemView integrates seamlessly with DownStreem, giving you on-demand access to data acquisition and forensic experts who can advise remotely or perform onsite collections anywhere in the world — covering collection, forensic analysis, and expert testimony under one roof.
What’s Included
- Consultative collection services integrated with your existing eDiscovery stack
- Remote data collection from any location across 170+ countries
- Onsite collection for sensitive or complex environments
- Forensic analysis with meticulous data examination and chain-of-custody preservation
- Expert testimony backed by thorough forensic analysis and industry experience
- On-demand expert access to advise or augment your in-house resources
Modern Data Discovery Requires a Modern Deployment Model
eDiscovery workflows built for email took years to standardize. Modern chat data is fundamentally different — and there’s no established playbook for every scenario. Teams data with Copilot interactions requires different handling than a multi-server Discord investigation.
We work alongside your team to build workflows that match your specific matter types, data sources, and review platform requirements — not a generic workflow designed for someone else’s problems.
How long does a pilot take?
Most pilots are completed within 3–5 business days from data receipt to RSMF export delivery.
Do you work with all review platforms?
Yes. StreemView delivers RSMF exports compatible with Relativity, Nuix, Everlaw, Reveal, and all major review platforms.
What does managed discovery cost?
Pricing is matter-specific based on data volume and complexity. Contact us to discuss your matter.
Can you collect data internationally?
Yes. Through DownStreem, StreemView supports remote and onsite collection across 170+ countries, including for mobile data and modern messaging platforms.
Not Sure Which Service Fits?
Tell us about your matter or workflow and we’ll recommend the right starting point.
Discuss Your Matter