The bottleneck is review, not writing.

Everyone who's tried content automation knows: generation is fine. It's the partner review that kills the rhythm. The partner blocks two hours for review, those hours go elsewhere, drafts pile up, rhythm breaks, the experiment dies by week six. The fix isn't better AI — it's better review criteria.

01

Generation is no longer the constraint

GPT-4-class models write competent first drafts for most legal topics. Quality is sufficient; the edge cases are not worth solving at generation time.

02

Partner review is the constraint

Partners have 15 minutes, not 45. Review that takes 20+ minutes per piece becomes impossible to sustain, even with great drafts.

03

Pre-defined criteria compress review

If the partner knows exactly what to check for — tone, don't-say list, source requirements — review drops to <5 min. Without criteria, review takes forever because the partner has to invent them each time.

The criteria that compress review.

Before any draft is generated, define the review checklist. Five dimensions, each a yes/no question. If all five are yes, sign off. If not, reject with a specific reason — the next draft gets it right.

The goal: a partner scanning these five in under 60 seconds, then deciding. If the criteria are right, 85–90 % of drafts pass on first review.

  • Does it match our tone (direct, concrete, no hype, no jargon)?
  • Does it stay within the practice area (no cross-area claims)?
  • Does it follow BRAO/UWG (no advice, no guarantees, no comparison)?
  • Does it have ≥1 concrete example or data point?
  • Does it end with a clear reader takeaway?

Shape, tone, structure — per channel.

LinkedIn, blog, and newsletter each want different shapes. Generating one piece and cross-posting doesn't work — but generating three channel-tuned versions from one topic does. Here's what each wants:

01

LinkedIn

150–300 words. Hook in first line, one insight, one reflection question at the end. No hashtag spam, 3 at most. Single image optional.

Attention medium
02

Blog

800–1,500 words. Problem → analysis → actionable steps. Subheadings every 200 words. One embedded example or screenshot.

Reference medium
03

Newsletter

600–900 words. Direct address, first-person voice. One main idea, two supporting points, one clear call-to-action.

Relationship medium

A month of content, in 90 minutes.

Here's the monthly cadence we see working. Total partner time: ~90 min. Total drafts: 8. Total published pieces: 8 across three channels (with adapted versions).

  • Week 0: 30 min planning session — partner picks 4 topics for the month from a topic bank.
  • Week 1–4: AI generates drafts (2 per week). Each draft arrives in Teams on Tuesday morning.
  • Tuesday + Thursday: partner reviews drafts (~5 min/piece).
  • Approved drafts auto-publish to LinkedIn (same day), blog (Wednesday), newsletter (first of month).
  • End of month: 10-minute review of what performed — inform next month's topic selection.

Guardrails for legal content.

Content from legal professionals is held to professional rules — BRAO in Germany, bar rules elsewhere. The generation prompt and review checklist both enforce these. It's not optional; it's a must-have.

01

No advice

The model is prompted to never give specific legal advice. Phrases like "in your situation" are banned. General education only.

02

No direct client mention

No naming of clients, cases, or matters. Anonymisation enforced at generation time and verified at review.

03

No guarantees

No absolute claims about outcomes. Hedging language required where probabilistic claims are made.

04

No comparative claims

No statements that compare against other firms or claim superiority. Factual differentiation only.

What success looks like.

Content automation is useful only if it's measurably better than manual. Track these three KPIs from day one:

01

Pieces/month published

Baseline: 1–2. Target: 6–10. Anything below 6/month means the rhythm isn't holding.

02

Draft-to-approval time

Target: median under 1 day. Longer means review criteria aren't tight enough.

03

Engagement per piece

Channel-specific. LinkedIn: comments and shares. Blog: time-on-page. Newsletter: opens and clicks.

Common questions.

01Will AI content pass our partner review?+
Only if you define the review criteria upfront. Partners are the bottleneck because "bad AI output" passes their standards 20% of the time. Fix the criteria (tone rules, don't-say list, source requirements) before the first draft — review becomes 90% signoff, 10% correction.
02What does a month of content look like in practice?+
Monthly planning session (30 min). 8 drafts generated over the month. 8 partner reviews via Teams (usually <5 min each). 8 pieces published to LinkedIn, blog, newsletter. Total partner time: ~90 min/month for a complete content plan.
03Can the AI stay on brand without daily supervision?+
Yes, with a brand prompt that includes: 5 example pieces of your writing, your don't-say list, your practice-area vocabulary, your preferred structure. Re-tune quarterly. Drift is real but slow — you'll notice well before it becomes a problem.
04What about German bar association rules (BRAO/UWG)?+
Content guardrails enforce the rules at generation and review time. No advice, no direct client mention, no guarantees, no comparative claims. Partners confirm each piece against the list. We've built these for lawyer firms specifically — it's not a theoretical concern.
05What if we only want to automate LinkedIn, not blog + newsletter?+
That's fine. Start with one channel. We see firms start with LinkedIn (lowest risk, highest visibility), add the blog in month 2–3, newsletter in month 4 if there's audience for it. No forced three-channel rollout.