Lawyer Bot is an AI-driven chatbot suite designed to engage website visitors in automated conversations, enhancing lead generation and conversion rates. It utilizes advanced technologies to streamline client interactions and improve overall user experience.
claude install lukitos/lawyerbot-capstoneLawyer Bot is a conversational AI chatbot suite built specifically for law firms to engage website visitors and convert inquiries into qualified leads. The system uses Dialogflow to manage automated conversations, capturing visitor information like name, phone, and email during the interaction. Captured lead data is stored in a database and accessible through a CRM dashboard or mobile app, allowing lawyers to manage and follow up on prospects. The platform includes a REST API backend, web dashboard with Firebase authentication, and mobile app for lead management. It solves the problem of manual lead qualification by automating initial client engagement and data collection.
["Configure the bot’s initial greeting and legal issue categories in [LAWYERBOT_CAPSTONE_DASHBOARD]. Match the [TONE] to your firm’s brand (e.g., formal for corporate clients, conversational for personal injury).","Set up routing rules in the dashboard to direct users to the right team member or department based on their responses. Use [IF_THEN] logic (e.g., 'If user mentions "]
Engaging website visitors in real-time
Automating lead qualification
Providing instant answers to legal inquiries
Collecting user information for follow-up
claude install lukitos/lawyerbot-capstonegit clone https://github.com/lukitos/lawyerbot-capstoneCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Deploy [LAWYERBOT_CAPSTONE] on [WEBSITE_URL] to engage visitors with a personalized legal consultation flow. Focus on qualifying leads by asking [SPECIFIC_LEGAL_ISSUES] and routing high-potential prospects to [TEAM_MEMBER_OR_SYSTEM]. Use [TONE] (e.g., professional, empathetic) and include [CALL_TO_ACTION] (e.g., 'Schedule a free 15-minute consultation') at the end of the conversation. Test the flow with [TEST_SCENARIO] (e.g., a user asking about contract disputes).
A visitor lands on *Smith & Associates*'s homepage at 2:15 PM, where the Lawyer Bot triggers with a pop-up: 'Need legal help? Chat with our AI assistant for a quick assessment.' The bot greets the user with: 'Hi there! I’m Lex, your virtual legal assistant. Are you dealing with issues like [CONTRACT DISPUTES, PERSONAL INJURY, or BUSINESS FORMATION] today?' The user responds: 'I signed a lease but the landlord won’t fix the heating—it’s been broken for weeks.' Lex follows up with: 'I’m sorry to hear that. This could qualify as a [BREACH OF LEASE] under [STATE] law. Would you like me to connect you with our real estate team for a free consultation? They’re available today at 3 PM or tomorrow at 10 AM.' The bot then books the appointment via a Calendly link and sends a confirmation email to the user and the team. Post-interaction, the system logs the lead as 'High Priority' in HubSpot with notes: 'Issue: Heating repair; Urgency: Critical; Assigned to: Sarah Chen (Real Estate).'
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