Build it yourself.
Run it on mot-r.
Your team builds the AI. mot-r already provides the operational foundation around it: workflows, a lawyer in the loop, access controls, a record of every AI action, and usage reporting across every provider.
From your AI tool to a governed workflow
Your AI captures the request
The AI tool your team already uses gathers what Legal needs and opens a mot-r workflow.
mot-r starts the workflow
Intake, routing, hand-offs and deadlines are set around every AI step.
An AI task prepares a first draft (optional)
Inside the workflow, mot-r's own AI can draft and check on any provider.
A lawyer reviews, edits and approves
Nothing goes out until the responsible lawyer signs off.
Your AI gets the status and result
Your AI tool can check progress and retrieve the result.
Every hand-off is recorded: what the agent submitted, who acted, what was approved, and when.
Four ways mot-r puts agentic AI to work in Legal
Whether your team has already built its own agents or is just starting, the same foundation applies: AI inside the real workflow, lawyers in control, and a record of every step.
DIY AI
Your team built AI skills and agents that save real time. Keep building where you build, and hand the work to a governed workflow.
Orchestration & Governance
One governed layer for every agent: the answers IT, Legal Ops and management need before they say yes.
Lawyer-in-the-Loop AI
AI prepares. A lawyer decides. Additive, never mandatory, on the models you choose.
Custom Agentic Solutions
For teams ready to push further: agents we design and build for your processes, on the same governed foundation.
Building AI policy, risk frameworks or approval criteria? Start with the AI Governance Hub.
The work creates the evidence, including the work AI does.
An AI dashboard can tell you what the AI consumed. Because mot-r records AI activity as part of the work, it can also tell you where AI is working in Legal's operation: on which requests, at which step, for whom, and what happened next.
AI monitoring
- Tokens and cost
- Latency and success rates
- Which models were called
Managing AI in mot-r
- All of that, by provider and model
- Tied to the task, workflow and job
- Who reviewed it and what was approved
- Adoption and trends over time
That's the difference between monitoring AI and managing it as part of the legal operation.
SOC 2 Type II
Independently audited
Open standard: MCP
Works with the AI tools you use
Any AI provider
Your own keys, models by task
Fixed fee
Unlimited users
Change-of-control protection
Termination for Convenience upon Change of Control, in our standard contract
Canadian, operating worldwide
Founder-owned and independent
Practitioner guidance now recommends least-access connectors, human approval for privileged and outbound material, and matching the AI model to the risk of the task.
Association of Corporate Counsel, June 2026