AI writes. Partners approve — both on time.
For firms that want regular LinkedIn, blog, or newsletter content — without the partner bottleneck. We build a pipeline where AI drafts, humans approve, and nothing goes out without partner sign-off.
Three reasons the content plan
dies by week three.
Partners write drafts themselves.
Content only happens when a partner blocks two hours. Usually those two hours go elsewhere, and the content plan slips.
Approval happens in mail threads.
A draft lives in Google Docs, feedback lives in email, the final version lives who knows where. Version chaos.
Publishing is manual copy-paste.
The approved piece goes to LinkedIn by hand, to the blog by hand, to the newsletter by hand. Same content, three times.
A content pipeline
with the approval gate in it.
Monthly topic planning.
A monthly planning session with the partner sets topics, angles, and audience. From there, AI takes over the drafting.
AI drafts, partner reviews in Teams.
Drafts arrive in a dedicated Teams channel or inbox. Partner approves, comments, or rejects — all tracked. No Google Docs scavenger hunt.
One publish, three channels.
Approved content auto-publishes to LinkedIn, blog, and newsletter — with the right format for each. Partner sees the published URLs, not the paste work.
Common questions
What about German bar association compliance for lawyer content?
Content guardrails are built into the approval step. Partners can define style rules (no advice, no direct client mention, no guarantees). The AI respects them, the human confirms them.
Which tools do you use for drafting?
Claude or GPT-4-class models via EU endpoints, templated with your tone, practice area, and examples. No generic ChatGPT output — it reads like you.
Can we fully own the content archive?
Yes. All drafts, approvals, and published content land in your Supabase / Notion / whatever-you-prefer storage. Clean CSV/JSON export available anytime.
Does your content plan
survive partner vacation weeks?
Describe how content happens today. We'll tell you which parts of the pipeline actually need a human — and which don't.