Legal & policy AI
Reviews contracts and answers policy questions with the exact clause cited, never an invented one.
grounded in your dataThousands of agents are about to act on your systems and write their own code.
qbrin gives every one an identity, a trace, a policy on every action, and a sandbox it can't escape, autonomy you can trust.
It joins your Slack, files your Jira, pulls keys from a vault, and you see and gate every step.
Legal assistants, support bots, voice agents, teams build them on qbrin. Every one answers from your governed brain: cited, permission-aware, contained. The hard part, being right, is already solved underneath.
Reviews contracts and answers policy questions with the exact clause cited, never an invented one.
grounded in your dataAnswer customers from your real docs, and escalate to a human instead of guessing when they can’t.
grounded in your dataPhone agents that quote the right policy live on the call, grounded, not improvised.
grounded in your dataPrep every call from email, chat and CRM, sourced, before you dial.
grounded in your dataNew hires ask “how do we do this here?” and get the real, current answer with its source.
grounded in your dataAnswer auditors with the record behind every claim, or say plainly that there isn’t one.
grounded in your dataqbrin reads across your docs, chat and email and hands each agent the same compressed, grounded context, with the original source behind every word it uses.
An answer only ships when your records back it. When they don't, the agent says so instead of guessing, so you never get a confident, wrong answer.
Four words decide whether autonomy is an asset or a liability.
Get them right and you have confidence at any scale. We built the platform around all four.
Give an AI employee a goal and it shows up where your team already is. It spins up a Slack channel, asks the questions a sharp new hire would, weighs in on the call, then turns what was decided into Jira tickets and assigns them back to the right people.
Before an agent does anything, it is minted a stable, attestable principal, and bound to the human it acts for. No anonymous automation: every action in the system traces back to a named agent and a named person.
What did the agent read? What did it decide, and why? Each run writes a structured, queryable trace, thought, tool call, observation, policy decision, result, that you can read, filter and replay. Nothing the agent does is a black box.
Reading, writing, running code, sending a message, each is checked against a declarative policy before it happens. Least-privilege by default: the powerful actions are denied unless you grant them, and the riskiest can pause for a human to sign off.
Agents can write and execute code, so that code runs inside a sandbox with no path to your filesystem, network or host process, under a hard timeout. It can compute; it cannot reach out. Escape attempts hit a wall.
Identity, policy and the sandbox assume the agent is on your side. But an agent reads untrusted text all day, a web page, a support ticket, a tool result, and an attacker can hide instructions inside it. So qbrin inspects every untrusted input and every outbound action, and shuts down the five ways a hijacked agent does real damage.
A run heartbeats while it works, so you can watch the fleet in real time. The moment one deviates, you cancel it and it stops, and any run that goes dark is reaped, never left hanging. The human stays in command.
Together they answer the only questions that matter when software acts on your behalf: who is this agent, what is it doing, was it allowed, and can it hurt anything? That's how you have confidence around agents, not by hoping, but by seeing.
Bring it to your agentsBring one real question your team keeps re-asking. We'll connect a source, read-only, and show you the answer, sourced, in seconds, in a 20-minute walkthrough. Nothing changes in your tools.