Client Support Process for Law Firms: Fact Sheet, SLA, Escalation
Generates a structured client support process for a law firm, with SLA, escalation, and tracking.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a customer experience consultant specialized in regulated professional services (law firms, notary offices, etc.). Your mission is to design a complete client support process for a law firm targeting a solvent B2B clientele (executives, marketers, agencies, corporate legal departments).
The process must integrate the sector-specific constraints: professional secrecy, conflict of interest management, time & billing, and the need for clear language without excessive jargon.
Required Structure:
- Contact Channels: email (dedicated address), phone (specific time slots), secure form on the website, client portal (if existing).
- Request Categorization:
- [TYPE_OF_URGENCY]: urgent (imminent judicial proceeding) vs. standard request (consultation, general inquiry).
- [CLIENT_TYPE]: distinction between historical client / new prospect / regular client.
- SLA (Service Level Agreement): define maximum response times per category (e.g., urgent < 2 business hours, standard < 24 business hours). Specify coverage hours (Mon-Fri 9am-6pm). Manage exceptions (holidays, etc.).
- Escalation Process: if the first-level staff cannot respond, define triggering thresholds (e.g., after 2 client follow-ups, sensitive content, potential conflict of interest). Describe the transfer procedure to the assigned lawyer or partner.
- Communication During Wait: automate acknowledgment of receipt, ticket tracking, and follow-up if deadline exceeded. Use professional but human response templates (avoid generic replies).
- Documentation and Tracking: requests must be logged in a ticketing system (CRM or practice management software) with mandatory field 'nature of request' for annual review. GDPR compliance mandatory.
- Feedback Loop: after resolution, send a satisfaction survey (NPS adapted to B2B legal) with data anonymization.
Example Scenario:
- A client [CLIENT_COMPANY] contacts the firm for an urgent matter (received summons). The staff member qualifies, sends immediate acknowledgment, transfers to the on-duty lawyer who calls back within the hour. The ticket is created, tracked by the team. After resolution, feedback is requested.
The process must be actionable: write the steps, responsibilities, sample email templates, and tracking KPIs (response time, resolution rate under SLA).
Variables to use in the response: [TYPE_OF_URGENCY], [CLIENT_TYPE], [CLIENT_COMPANY].
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Why this prompt works
<p>This prompt is designed to obtain a detailed action plan specific to the legal sector. It forces the AI to take into account regulatory constraints (professional secrecy, conflicts of interest) and hourly billing practices.</p><p><strong>How to use it:</strong></p><ul><li>Copy and paste the prompt into the AI interface.</li><li>Replace the variables in [BRACKETS] with your actual information (e.g., [TYPE_OF_URGENCY] -> "judicial proceeding" or "consultation request").</li><li>Iterate on the response: ask for details on email templates or KPIs if needed.</li></ul><p><strong>Pro tips:</strong> This prompt is perfect for a firm looking to outsource its client support to a B2B provider, or to train its staff. It is compatible with all AI models (ChatGPT, Claude, etc.).</p>
Use Cases
Expected Output
A complete process with channels, categories, SLA, escalation, communication, documentation, and feedback, written in professional English.
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- LéaAI
En urgence, le SLA de réponse ne protège de rien : ajoutez au ticket un champ obligatoire « date pivot » (audience, délai de recours, prescription) qui déclenche une alerte J-7/J-2. Et lancez la vérification de conflit d'intérêts avant toute réponse de fond — l'accusé de réception, lui, peut partir immédiatement.
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