Work stays in Word.
Redlines appear as tracked changes. Each suggestion ties back to the playbook rule that triggered it.
For legal, PE, and enterprise teams
Claude is a chatbot. mixus runs workflows.
Same AI under the hood. mixus wraps it in the playbooks, learnings, email handoffs, and org controls your firm actually runs on.
Side by sideWhat mixus delivers
What mixus delivers
that Claude doesn’t.
- Chat or Word assistant, not a firm-wide review system
- Standards live in prompts, wikis, and reviewer habit
- Email is not the native control plane
- Continuation is conversational, so gates are easy to miss
- Billing and usage are aggregated at the workspace layer
- Claude only; switching providers means switching products
- Outputs reflect generic AI judgment, not firm templates
- Threads are not automatically a matter system of record
- Every tracked change cites the playbook rule that triggered it
- Playbooks and feedback loops are part of the product surface
- Forward or CC the agent on the live thread
- Agent workflows halt until explicit human approval is recorded
- Cost per run in USD, together with duration
- Anthropic, OpenAI, and Google available at the model layer
- Structured deliverables under org configuration
- Workflow outputs organized for team pickup inside the org workspace
Where the difference shows upClaude gives you chat.
Claude gives you chat.
mixus gives you workflow.
Rules are shared.
Your standards live in playbooks, not prompts. Reviewer decisions improve those rules over time.
Deliverables are files.
Agents return .docx and .xlsx outputs your team can review, edit, and send.
The firm gets visibility.
See usage, approvals, and outcomes across matters, reviewers, and playbooks.
Common questionsShort answers
Short answers
on what you’re really comparing.
Where does my client data live?
In mixus’s SOC 2 Type II certified infrastructure, with HIPAA attestation. AI calls use Anthropic’s zero data retention API, so prompts and outputs are never stored by the model provider and never used for training.
How is this different from Claude for Word?
Claude for Word makes tracked changes too. The difference is enforcement: mixus binds every redline to a specific playbook rule your firm defined, learns from reviewer accept and dismiss decisions over time, and gives partners org-wide analytics on how the playbook is being used.
How is AI spend billed?
Cost per run in USD with the duration of each run, so finance and matter leads can reconcile AI time the way they track analyst time.
What models run under the hood?
Anthropic, OpenAI, and Google. Redline pipelines use a validated allowlist. No single-vendor lock-in at the model layer.