Keep matter information stored in Canada.
Secure Legal Workspace
Security that feels practical, not hidden behind jargon.
Legal work involves confidential documents, sensitive facts, and client trust. Legalfy Cloud is built around that responsibility.
For security-conscious legal teams
Built for the moments your clients and team remember.
Protect private work while giving the right people access.
Keep important activity and AI-assisted work easy to revisit.
Why it matters
Small moments shape how much people trust the process.
Trust should be visible
Trust should be visible to buyers, legal teams, and clients before a matter ever begins inside the workspace.
Built for private matter data
The workspace is designed around sensitive records, private context, and legal collaboration.
A clearer answer for buyers
Give clients and firm leaders a plain-language answer about where information lives and how it is protected.
The result
A trust story people can understand before sensitive work begins.
A clearer explanation of where sensitive matter data lives and how it is protected.
More confidence inviting clients, lawyers, and support teams into shared work.
AI-assisted matter work that remains connected to the people and information behind it.
Before We Meet
A few useful answers before your demo.
Where can I learn more about security?
The Trust & Security page explains in plain language where matter information lives, how it is protected, and how access works.
Is security separate from the workspace?
No. Security and confidentiality are treated as product foundations for the matter workspace.
Where does Legalfy Cloud store matter information?
Customer matter information is stored in Canada, including the records and documents used by the connected workspaces.
How is access kept matter-specific?
Access follows authenticated identity, organization, team, role, and matter boundaries so people receive only the access appropriate to their work.
Can firms review important activity later?
Important user actions, document interactions, workflow steps, and AI-assisted activity retain an attributable history for internal review.