AI Chatbot for Law Firms
Law firm sites get visitors with serious questions and deadlines. SleekAI answers the structural stuff - practice areas, consultation fees, attorney routing - and is configured to firmly decline anything that looks like legal advice.
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Route, qualify, refer - never advise
Law firms field two distinct visitor flows: people who broadly know what they need ('I want a divorce attorney') and people who don't ('my ex isn't paying child support, what do I do'). The first wants routing to the right attorney. The second wants legal advice, which a chatbot must refuse. SleekAI handles both correctly: it reads your practice-area pages and attorney bios to route by area, and it's configured to decline specific legal opinions, statutes-of-limitations questions, and case-strategy guesses without exception.
Within the structural scope the bot is precise. It quotes consultation fees, books slots into the right attorney's calendar, captures intake info - jurisdiction, basic facts, contact - and flags potential conflicts for the firm's conflicts team to clear before the consultation. The intake bridge means the lawyer walks into a 45-minute consultation already briefed rather than spending 15 of those minutes on warm-up questions.
For multi-practice firms, multibot scopes a bot per practice area. Immigration, family, employment, and corporate teams each have their own assistant with their content and tone. Conversation logs go to your case-management or CRM via webhook, and conversations live in your WordPress database under your control - which keeps the privacy posture defensible without committing to attorney-client privilege before engagement formally starts.
Workflow
Route, qualify, and refer - never advise
Lock the legal-advice prompt
Index practice areas
Wire consultation booking
Set up conflicts handling
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Law firm chatbot in action
Comparison
Why law firms pick SleekAI
Generic chatbot
- Risk of giving legal advice
- No knowledge of practice areas
- Can't route to the right attorney
- Per-message pricing
- No conflict-of-interest filtering
SleekAI chatbot
- Strict guardrail: no legal advice, ever
- Routes to the right practice area and attorney
- Books consultations via your scheduler
- Captures intake info for the case team
- Logs conversations for compliance
Features
What SleekAI gives you for Law Firms
Legal-advice guardrails
Configured to decline anything that looks like a specific legal opinion, statute citation, or case-strategy recommendation - the strict default, audited regularly.
Practice-area routing
Reads your practice-area pages and attorney bios so each enquiry routes to the lawyer who actually handles that area in that jurisdiction - not a generic intake queue.
Consultation booking
Books consultation slots, captures basic intake info, and flags potential conflicts for the firm's conflicts team to clear before the call is confirmed.
Use cases
How law firms use SleekAI
Practice-area triage
Visitors describe their situation in their own words; SleekAI matches them to immigration, family, employment, or whatever practice area fits the issue and jurisdiction.
Consultation intake
Captures name, contact, jurisdiction, and a one-line summary so the case team is briefed before the call - 15 minutes of warm-up turns into substance time.
Out-of-scope deflection
Politely turns down practice areas your firm doesn't handle, optionally referring to known partner firms - which is good ethics and good professional courtesy at once.
The bigger picture
Why law firm chatbots have to be deliberately limited
The law firm chatbot category has a sharp ethical and regulatory edge. Bar associations across most jurisdictions are clear that automated systems must not engage in the unauthorised practice of law, must not establish attorney-client relationships outside of formal engagement, and must not provide jurisdiction-specific legal advice without proper licensing. A generic chatbot that answers 'what's the statute of limitations on this' has crossed all three lines simultaneously.
The right design is the inverse of what most product teams instinctively build: the bot's value comes from what it refuses. Within the structural scope - practice-area routing, consultation booking, fee transparency, intake capture - it materially raises the firm's funnel quality. Sunday-evening visitors with real legal problems get routed to the right attorney with the right preparation rather than dropping into a generic 'we'll be in touch' email queue.
For high-volume practice areas like immigration, family, and employment, this is often the difference between a viable inbound funnel and one that loses to firms with better intake operations.
Questions
Common questions about SleekAI for Law Firms
No. SleekAI is configured with strict guardrails to decline anything that looks like a specific legal opinion, statute interpretation, or case-strategy recommendation, and to consistently refer the visitor to a qualified attorney. The system prompt enumerates declined categories - statutes of limitations, case strength assessments, dosage of legal options - explicitly. Audit-test quarterly with realistic edge-case prompts to confirm the refusal behaviour holds across phrasing variations.
 The bot collects basic info - parties, opposing parties, related entities - and flags it for your conflicts team to review before any consultation is confirmed. The bot itself does not make conflict decisions; that's a professional-responsibility judgment for humans. The intake template captures enough information for a meaningful conflicts check without committing the firm to representation, which matches how most modern intake operations work.
 Conversations live in your WordPress database under your control. Make clients aware in the widget header or initial message that the chat is not yet a privileged attorney-client communication - that begins after formal engagement. This is the same posture as most firms' first contact via email or web form, with the same documentation discipline. Privacy-policy language should clarify the pre-engagement status of these conversations.
 Yes - multibot lets immigration, family, corporate, and employment teams each have a focused assistant with their practice-area content, tone, and intake fields. An immigration bot can ask about visa type and country; a corporate bot can ask about deal size and industry. The right scoping per practice keeps both the routing accuracy and the intake quality higher than a single firm-wide bot.
 Yes - clients writing in Spanish, German, Mandarin, Arabic, or any common language get replies in their language. Useful for immigration practices especially, where the client's first language often isn't the firm's working language. Operational answers translate cleanly; legal-advice refusal language remains as configured to ensure the guardrails hold across translation. The booked consultation can be flagged with the client's preferred language for the attorney.
 Using your own OpenAI API key with the standard API terms means data is not used for model training by default. Conversation logs are stored in your WordPress database; set retention to suit your firm's policy and your jurisdiction's records-retention rules. For US firms with state-bar requirements, document the bot in your privacy notice and align retention with your engagement-letter terms. The plugin gives you the building blocks; the policy posture is yours.
 Configure the bot to recognise the signals - claims against another lawyer, fee disputes, bar-complaint language - and route those carefully. Most firms route them to a senior partner directly rather than through routine intake. The bot should not turn the prospect away brusquely; it should gather enough context for the senior to make the call about whether to consult. Tone matters in this segment more than in routine inquiries.
 Configure the bot to recognise time-sensitive emergency language and prioritise same-day or next-day consultation slots, plus surface relevant emergency-services or pro-bono partners if the firm doesn't have capacity. Speed matters in these cases more than the standard intake flow. The bot should not slow down a visitor with an urgent deadline by walking them through a routine intake - the system prompt should escalate the routing posture explicitly.
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