Deployment options

Cloud, on-premise, or hybrid — choose your operating model.

Lystem is designed to support firms that want fast SaaS rollout, private-cloud control, or a hybrid enterprise model that balances convenience with compliance. The supporting product story also aligns with the AI proposal’s on-premise-first privacy and cost positioning. fileciteturn1file4

Best-fit scenarios

  • SaaS for faster onboarding and lower operational overhead
  • On-premise for strict data ownership and internal infrastructure control
  • Hybrid for regional compliance and enterprise integration requirements

Cloud SaaS

Ideal for firms that want rapid launch, managed operations, automatic updates, and a lower entry barrier. Best when internal IT overhead needs to stay minimal.

Fast onboardingManaged updatesScalable
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On-premise

Ideal for firms that require internal hosting, direct infrastructure ownership, tighter policy controls, and private AI processing inside their own network.

Full controlInternal hostingPrivate AI
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Hybrid enterprise

Ideal when part of the platform can run in a managed environment while sensitive workflows, integrations, or AI layers remain on client-controlled infrastructure.

Flexible architectureCompliance-readyEnterprise fit

Why the hybrid story is powerful

The uploaded AI proposal explicitly positions the intelligence layer as 100% on-premise, with no external AI services, no internet requirement once installed, full audit control, and no ongoing API costs. That makes Lystem especially compelling in privacy-sensitive legal environments. fileciteturn1file4

Business advantage

Use SaaS where speed matters. Use on-premise where risk, privacy, or procurement rules demand stricter control. Use hybrid where both realities need to coexist.

Technology advantage

Keep the core platform connected through APIs, while allowing mobile, notification, reporting, and AI layers to be aligned to each client’s infrastructure posture.


DeploymentIdeal buyerWhy it works
SaaSGrowth-stage law firmsFast onboarding, lower infrastructure management, managed releases
Private cloudRegional firms with higher policy controlCloud convenience with stronger tenancy and governance controls
On-premiseEnterprise legal teams, government-linked entitiesInternal hosting, stronger data residency posture, private AI execution
HybridCross-border and compliance-heavy firmsBalances modern access with internal ownership for selected workflows

Roll out in phases, not all at once.

The AI roadmap already suggests a three-phase sequence over nine months: quick wins first, decision intelligence next, and deeper automation after the operational foundation is stable. That same phased approach can be applied to deployment and rollout planning. fileciteturn1file13