◉ how our platform solves this · legal
the case is yours. the research is ours.
The argument is the point. But a brief rests on labor that never lets up — every authority pulled and re-verified, the cite-check, the record assembled, the same line of cases re-traced because the law moved under it. It is the research behind the writing, and it is never quite finished.
◉ the answer
Agentic workflows run citation-validation on your own infrastructure — against your own models — with a human on the gate for anything that acts, and the record written as it goes.
◉ how we solve it · our process
- Chat — you state the goal in plain language; we shape the work with you.
- Flows — it becomes a repeatable workflow, on rails and fully auditable.
- Missions & Fleets — coordinated across as many instances as the job needs.
- Synth · Brainbow · Code Mode · Exec — the right tool spun up for each step: a throwaway utility, a driven browser, code run against your real systems.
- your ground, your gate — every step on your infrastructure, a human approving anything that acts.
◉ the mechanism · what actually happens
One request, walked end to end — every step on your infrastructure, against your own models, with a human on the gate.
- ChatMode
You state the goal in plain language — “validate every authority and draft the cited brief.” ChatMode plans the work and dispatches its built-in agents — planning, data-query, validation, synthesis — to decompose it into pull, analyze, act, assemble. No prompt engineering, no scripts.
- SmartModelRouter
Each step is routed to a model that fits it — a fast model to extract citations, a long-context model to read full opinions, a strong reasoner to judge whether an authority is still good law — across the providers you register. Bring your own models and run them on your own infrastructure; the privileged record stays inside your network.
- MCP tools · OBO credentials
Agents reach case-law databases, dockets, citators, and your matter store as MCP tools, each call running under your own identity. The platform forwards your scoped credentials per call — no shared token, no pooled service account, no secret pasted into a prompt. Every call is logged.
- Tool Synthesis · Code Execution
Sources never agree on format. Code Execution writes a one-shot Python tool on the fly to normalize citations, build a citation graph, and pull the holdings — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.
- AgenticWorkflows
The citation-validation flow becomes a flow of named agents — repeatable, auditable, on rails. And there’s more behind sign-up: discovery review, deposition prep, clause-and-precedent search, and matter intake — the many ways the platform runs this, with more revealed after you sign in.
- HITL approval
Nothing acts until you say so. The human-in-the-loop gate is real architecture, not a setting — any step that would file or send the brief stops and waits for a person; if no one approves, it times out and is denied. You review the plan and the scope, and approve before anything happens.
- Tool synthesis · the recurring work, off your plate
The repetitive research toil — pulling citations, normalizing a docket, summarizing a stack of filings — the platform turns it into a one-shot tool on request, runs it once with your approval, then throws it away. Nothing is registered, nothing persists. You keep your hours on the analysis and the argument, not the busywork that surrounds them.
- Audit trail · DLP · RBAC
Every model call, every tool call, every approval is written to an append-only audit log — once a decision is recorded it’s frozen, so the trail is tamper-evident. DLP keeps sensitive material inside your network, and role-based access scopes who can do what. It’s a record you can stand behind.
The toil ran itself, it acted only on your nod, and the record is already written — and that’s one flow. Discovery review, deposition prep, clause-and-precedent search, and matter intake are waiting behind sign-up.
◉ go deeper
Run it on your own infrastructure — or with us.
Talk to us to see the platform on your stack — governance, fleet, support, and the enterprise capabilities. Or self-host the platform in your own environment and run the whole thing today.
The platform self-hosts in your own environment — chat, flows, and the ops MCPs. Fleet, Mission, CodeMode, governance and support come with the enterprise platform. Designed for FedRAMP-High deployment.