AI is already in the workflow.
Now it needs a paper trail.
Your people are already using AI — asking it about cases, pasting in customer data, drafting public claims, and letting it record every meeting. Envelon helps you catch the risky moments, bring the right human in, and keep a record you can show later.
The same control layer runs through both products: LitigationVault, for law firms protecting client AI conversations, and Ursa AI, the intelligent meeting assistant for enterprises — it joins your meetings and enforces your rules as people speak, keeping a record you can show later.
Two Products
Pick the one built for you.
Privileged AI workspaces for law firms and their clients.
Clients turn to AI about their cases on their own. LitigationVault brings those conversations into a private workspace supervised by the firm, so attorneys can review what goes back, keep the matter record clean, and capture that review time as billable work.
- ✓Attorney-supervised AI
- ✓Privilege audit trail
- ✓Clio time-entry sync
Your intelligent meeting assistant — it knows what to keep off the record.
A voice agent joins your meetings and decides, moment by moment, what should be transcribed — honoring each person's consent, dropping what your policies keep off the record (no copy kept), and acting on what it hears: surfacing the document that matters, looping in an owner, or bringing in counsel.
- ✓Decides what to transcribe — per consent & policy
- ✓Drops off-limits talk — no copy kept
- ✓Acts: surfaces context, loops in owners or counsel
Privilege & Privacy Control
One control layer. Two places exposure starts.
Envelon gives legal and compliance teams a shared control layer for sensitive work. It identifies moments that may create privilege, privacy, or disclosure risk; limits what gets released; routes the right people into review; and maintains the audit trail needed to defend the record later.
Catch it in the moment
Every AI interaction — a prompt, an answer, a recorded conversation — is watched for sensitive data, legal risk, regulated content, or public-claim risk, and the risky moments are caught while something can still be done about them.
Humans only where they matter
Most AI use shouldn't wait on a reviewer. The routine work passes through. The risky work goes to an attorney, compliance reviewer, privacy lead, or comms approver.
Proof built in
Every decision is timestamped and linked to the next one, so you can show what happened later without rebuilding the story from screenshots, Slack threads, or browser histories.
Why We Built Envelon
AI is in every conversation. Someone still has to be accountable for it.
AI moved into the work faster than the controls meant to govern it. People ask it about live disputes, paste in regulated data, and let it record every meeting — and the teams responsible for privilege, privacy, and risk usually find out only after the record already exists.
Envelon exists to close that gap. We give legal and compliance teams a single control layer over how AI is used — one that surfaces the moments that may carry legal or privacy risk, brings the right person in before the record is set, and keeps proof of who saw what, when, and why.
Our mission is to make AI adoption something companies can defend — so teams can move fast with AI without giving up the privilege, privacy, and accountability that protect them.
LitigationVault and Ursa AI are how we deliver that today — the same control layer, wherever sensitive conversations happen.
Start with the AI work your team is doing today.
Whether you run a law firm or a regulated company, the first step is simple: find the AI conversations that carry legal or compliance risk today, then decide which ones need review before they leave.
Common questions
What does Envelon actually do?+
Envelon watches how your people use AI — the questions they type into it and the meetings they record with it. It lets routine use pass, flags the risky parts for a human to review, and keeps a record of what happened, who was looped in, what changed, and what was withheld — so you can show what happened later if a court, a regulator, or opposing counsel asks.
What's the difference between LitigationVault and Ursa AI?+
Same idea, two surfaces. LitigationVault is for law firms: it brings client AI questions into a private workspace the attorney on the matter supervises. Ursa AI is for enterprise legal, compliance, and risk teams: it's an intelligent meeting assistant that joins your meetings as a participant across Zoom, Google Meet, Teams, and Slack, then decides moment by moment — per voice-based consent and your plain-English policy — what's transcribed, dropped (no copy kept), or acted on (surfacing context, looping in an owner or counsel).
Who is Envelon for?+
Law firms and their clients, who want client AI questions handled under counsel instead of scattered across consumer chat tools. And regulated or reputation-sensitive companies — in finance, healthcare, life sciences, and consumer brands — whose legal, compliance, privacy, and communications teams need to review risky AI use before it leaves and prove what happened afterward.
Is this just another AI security tool?+
No. Security tools are mostly built to detect and block threats. Envelon is built for the people who have to defend the company's AI use later — legal, compliance, privacy, audit, and communications. It helps them see how AI is being used — both typed and spoken — review the risky parts, and keep the proof.