Artikel zu: Law Firm

A practical minimal form for law firms: 7 fields that enable routing, follow-ups, and KPIs – without deterring clients.

5 typical reasons (and countermeasures) why automation in law firms doesn't run stable in practice – with concrete checks for owner, status, and operations.

A practical model to prevent inquiries from disappearing in the inbox: status, owner, follow-ups, and metrics.

A pragmatic follow-up system for law firms: 3 timepoints, text templates, stop rules, and KPIs – so inquiries don't get lost.

A quick self-check for law firms: Where are you losing inquiries, time, and quality? With concrete checklist.

An approval process that scales: guardrails, QA checklist, and a 10-minute review flow – so content automation doesn't become risky.

A no-go list for law firm content: typical risky claims and phrasings – plus safe alternatives that are still clear.

Why fewer fields mean more conversions – and which 5 required fields should be in every law firm intake form.

A scoring model to properly prioritize automation use cases in law firms – including matrix, example evaluation, and stop rules.

A realistic 30/60/90 day plan: from goal/KPI through prototype and stabilization to scaling – without tool chaos.

Two practical status models for law firm intake – including owner/SLA logic, follow-up triggers, and copy/paste table.

When a rule set is enough and when AI in intake really makes sense – with decision matrix, risks, and minimal starter setup.

A topic system for law firms: 12 topic families that are reusable – including rotation plan and format matrix.

Pragmatic guardrails for law firms: when labeling makes sense, what approval/QA looks like, and which no-go claims to avoid.

Nine rules that protect you from tool chaos: Ownership, status model, releases, data checks – so automation runs as a system.

A minimal governance setup: Owner, backup, change process, and release rules – so workflows don't fall apart in daily operations.

A minimal process for conflict check in intake: when to check, what data is enough, and how to build the flow so nothing blocks.

A lean role model (owner, backup, escalation) so workflows in law firms don't fail due to "nobody is responsible" – including RACI to copy.

5 KPIs that actually drive decisions (instead of KPI sprawl) – including measurement plan, target value logic, and "stop" rules for law firm workflows.

Pragmatic rules for intake data: Validation at the source, duplicate logic, and edge cases that otherwise destroy routing/follow-ups – including rule set to copy.

A QA standard for AI texts: Claims, source logic, no-go formulations, consistency, value – including stop rules for when a text must not be published.

A pragmatic reuse process: 1 blog article becomes newsletter, LinkedIn post, snippets and download hint – without duplicate content and without idea chaos.