intermediatelegal

Automate Solo Legal Client Intake with AI

Use contract + CRM automation to qualify leads while keeping a one-person practice lean.

How it works

This workflow automates the entire legal client intake process using AI, cutting your administrative burden from hours to minutes. You'll set up an AI-powered intake system that collects client information, screens for case viability, generates preliminary legal summaries, and automatically categorizes cases by practice area. Instead of manually reviewing intake forms and typing up case summaries, your AI system handles the heavy lifting while you focus on actual legal work, dramatically increasing how many potential clients you can screen without hiring staff.

  1. 1Build Your Intake Form with AI Logic
    Use a form builder like Typeform or JotForm to create your client intake questionnaire, but structure it so the questions branch based on client answers. Start with basic information like name and contact details, then have the form ask targeted questions based on the legal issue they select. This conditional logic means each client only answers relevant questions, making the experience faster and giving you cleaner data for your AI to process.
  2. 2Connect Your Form to an AI Processing Pipeline
    Set up Zapier or Make to capture form submissions and send the raw client data to Claude or GPT-4 via their APIs. Configure the automation so that within seconds of form submission, the AI receives all the client's answers and begins analysis. This real-time processing means your AI starts working on the intake immediately without any manual copy-pasting or delays.
  3. 3Generate Automated Case Summaries and Risk Assessment
    Write a detailed prompt for your AI that instructs it to analyze the client data and produce three things: a one-paragraph case summary, a preliminary legal issue identification, and a quick risk assessment of whether the case fits your practice area. The AI should output this in a structured format like JSON so it can be automatically saved and organized. This summary becomes your quick reference before you even speak to the client.
  4. 4Set Up Automatic Case Categorization and Routing
    Configure your AI to tag each intake with practice area, urgency level, and client qualification status based on the details provided. Have your automation then either file the case into the appropriate folder in Google Drive or Notion, or send different notifications based on case type. For example, high-urgency personal injury cases could trigger a different alert than low-fit cases that you might not pursue.
  5. 5Create a Dashboard to Review Qualified Leads
    Set up a simple Notion database or Google Sheet where all incoming intakes automatically populate with the AI-generated summaries and categorizations. Each morning you can review new leads in one place, seeing which cases the AI flagged as strong fits and which ones need a quick decline email. This dashboard becomes your single source of truth for all new client inquiries instead of checking email or multiple form platforms.

Tools used

Claude APIZapierTypeformNotionGoogle Drive

Time breakdown

Plan to spend about 20 minutes setting up your intake form with proper branching logic. Another 25 minutes goes to configuring Zapier and connecting it to Claude API, testing that the data flows correctly. Writing and refining your AI prompt for case analysis takes roughly 20 minutes to get the output format and analysis depth just right. The final 25 minutes cover setting up your categorization rules and building your review dashboard so everything feeds in automatically.

Pro tip

Test your entire workflow with at least three fake intake submissions before going live, because discovering a prompt issue or automation error after you've already received real client data is much more painful than fixing it during setup.