Legal AI should match the sensitivity of the matter.
Some legal teams can use approved cloud AI providers. Others cannot send privileged or confidential material outside controlled infrastructure.
Managed private workspace for legal teams.
Parassist Private Cloud
Private Cloud is the standard Parassist deployment for firms and legal departments that want a managed, private legal AI workspace without operating infrastructure themselves.
Includes
- Private application instance
- Private document storage
- Tenant and matter access controls
- Citation-grounded matter assistant
- Legal workflow library
- Review matrices
Best for
- Small and mid-size firms
- Boutique practices
- Legal departments
- Teams starting with private AI workflows
Private deployment with dedicated AI inference.
Parassist Dedicated
Dedicated deployments are for organizations that want stronger separation and do not want confidential matter data routed through shared public model services.
Includes
- Dedicated app deployment
- Dedicated database and storage
- Dedicated model endpoint
- Private embedding endpoint
- Custom model configuration
- Provider restrictions by data classification
Best for
- Larger firms
- Corporate legal departments
- Confidential client portfolios
- Organizations restricting public AI providers
Local legal AI for controlled environments.
Parassist Air-Gapped / On-Prem
For organizations that require local infrastructure, Parassist can be packaged for on-prem or air-gapped environments with local storage, local database, local document processing, and local model inference.
Includes
- On-prem application deployment
- Local database
- Local object storage
- Local model server
- Local embedding model
- Local OCR and document conversion
Best for
- Government-adjacent legal teams
- Highly confidential matters
- Defense or security-sensitive organizations
- Organizations with strict client mandates
A deployment process built around risk and workflow.
Discovery
Identify workflows, document types, user roles, confidentiality requirements, and model-provider restrictions.
Architecture
Recommend a deployment model, storage approach, AI provider policy, and matter-access structure.
Configuration
Configure users, roles, matter templates, workflows, model routing, document processing, and audit settings.
Pilot
Test against representative workflows such as contract summaries, chronologies, lease abstractions, or demand drafts.
Rollout
Refine workflows, train users, document governance, and prepare for broader use.
