Controlled cloud infrastructure for sensitive professional workflows
GREENPOW gives law firms and professional services a private, auditable foundation for client data, AI copilots, and matter-level operations, with carbon-aware decisions where they fit.
The challenge
- Sensitive client and matter data on infrastructure with weak boundaries.
- AI copilots leaking context across matters, clients, or practice groups.
- Client outside counsel guidelines getting stricter on data location and access.
- ESG questions from clients with no defensible answer.
- Privilege and retention obligations that generic SaaS does not satisfy.
How GREENPOW solves it
Private, controlled deployment
Sensitive matter workloads on infrastructure with controlled access and residency.
Per-matter isolation
Matter, client, and practice-group boundaries enforced at the platform layer.
Governed AI runtime
Legal copilots and agents inside controlled tenancy with audit logs.
Retention and privilege controls
Retention, hold, and access policies aligned with professional obligations.
Carbon-aware where it fits
Sustainability decisions applied where they do not conflict with confidentiality.
Multi-jurisdiction footprint
Operate EU, UK, and LATAM matters under a single governance model.
Use cases
Matter-isolated AI copilots
Per-matter memory and audit trail for legal AI workflows.
Confidential document workloads
Review, drafting, and discovery on private infrastructure.
Client-driven residency
Honor outside counsel guidelines on data location and access.
Knowledge management for partners
Structured institutional knowledge with controlled access.
ESG response for clients
Infrastructure-level carbon data when clients ask.
Per-matter memory and audit trail for legal copilots
Cortex sits underneath legal copilots and AI workflows so each matter, client, or practice group has its own isolated memory namespace, retention policy, and audit ledger. Privilege boundaries are enforced at the platform layer, and every model call is defensible after the fact.
Economics of GREENPOW for this sector
Document-heavy and confidential workloads where residency and chain of custody come first.
- Cloud cost lever
- 10-25%
- Carbon evidence
- Per-matter kWh
- Operational risk
- EU residency + access logs
Modeled savings versus generic SaaS hosting for document, e-discovery, and case workloads.
Energy attributed at matter or workspace level for client and internal ESG reporting. Tag: Modeled.
Residency, encryption, and access trails aligned to professional secrecy obligations.
- Figures shown are modeled defaults. Confirm sourcing before using any figure publicly. See /en/impact#methodology and /en/impact#evidence-labels.
What you can rely on
- Designed for confidentiality, not generic SaaS.
- Privilege and retention treated as platform-layer controls.
- AI activity is auditable per matter.
- Sustainability claims tied only to measured workloads.
Frequently asked questions
Do you support strict outside counsel guidelines?
Yes. Residency, access, and audit can be set per client or matter.
Can each matter have its own AI memory?
Yes. Cortex provides per-matter isolated memory and audit trail.
Do you replace our DMS or practice management system?
No. GREENPOW is the infrastructure and AI runtime layer beneath them.
How is privilege protected on AI workflows?
Boundaries are enforced at the platform layer and every model call is logged for defensibility.
Run sensitive legal workloads on infrastructure your clients can accept
Let's design a private, matter-isolated, AI-ready foundation for your firm.