Your legal team isn't slow. It's overwhelmed.
Thousands of low-complexity, high-volume requests — NDAs, vendor agreements, policy questions, DPDP and GST queries — bury the high-value work and slow the whole business down. Tools that merely assist don't remove the bottleneck. Tools that merely assist don't remove the bottleneck.
An agent, not an assistant.
Assistants help one person do one step faster — and stop at every exception. Agent Face owns the whole request, and only stops for genuine judgment calls.
Helps a lawyer draft or search a little faster. Assists individual steps, hands back the work, and stalls the moment something is non-standard. You still drive every request.
A request arrives. The agent goes to work. A lawyer reviews what matters.
Intake & routing
Requests land embedded in Slack, Teams, WhatsApp and your portal. Agent Face reads the intent and pulls the relevant context.
Execution
It runs the right task end-to-end against your playbooks, templates and fallbacks — drafting, reviewing, redlining, negotiating.
Supervision & send
Output lands in a review queue with flagged items and reasoning. Approve, adjust or escalate — then it signs and files.
Autonomy, under your gate.
Supervision is the whole point. Turn it on and off — by agent, by task, by threshold. Start fully supervised, then dial it back for routine requests. Every decision, edit and negotiation is logged in a Decision Trace.
Embedded in the tools you already use.
Nothing to adopt. Agent Face meets requests on the channels your business already lives in, and connects to the systems you already run.
Enterprise security. DPDP by design.
Dedicated regional tenant. Your matters stay inside their home jurisdiction.
Your files and queries never train base models, and aren't stored beyond the session.
Encrypted in transit and at rest, with least-privilege access and single sign-on.
Independently audited, with a full Decision Trace audit on every action.
Questions, answered.
No. It absorbs the repeatable, high-volume work so your team focuses on real risk and judgment. Your reviewers always retain final authority — nothing leaves without sign-off when supervision is on.
Every agent is trained on your playbooks and approved sources — not generic data. Low-confidence or non-standard matters escalate automatically, and every action carries a Decision Trace you can audit.
In a dedicated India tenant, encrypted in transit and at rest. Your files and queries are never used to train base models and are not retained beyond the session.
Most teams build and launch their first agent within days to a few weeks — starting fully supervised, then dialling supervision back per agent and task as confidence grows.