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Legal & Compliance

Legal Intake & Screening Chatbot

Screen and intake potential clients automatically. NIVA collects case details, checks conflict criteria, and routes qualified matters to the right practice.

legal chatbot law firm intake bot client screening chatbot legal lead capture legal intake automation
24/7
Automated Coverage
0
Developers Required
5
Automation Steps
4
Measurable Outcomes
The Problem
Law firms spend paralegal time screening enquiries that don't fit, while genuine matters wait. Intake is manual and inconsistent across practice areas.

How NIVA Handles This Automatically

A legal-intake persona answers general questions from an approved knowledge base, the Flow Engine screens enquiries through Smart Forms, branches by matter type and basic conflict criteria, and routes qualified matters by webhook. (Answers stay strictly within approved, non-advice content.)

Live Conversation Flow
1
Trigger: "need a lawyer" or matter question
2
Form: matter type and basic details
3
Condition: branch by practice area and screening criteria
4
Form: contact details for qualified matters
5
Webhook: route to the relevant practice group

Step-by-Step: What Happens Inside the Chat

Trigger "need a lawyer" or matter question
Form matter type and basic details
Condition branch by practice area and screening criteria
Form contact details for qualified matters
Webhook route to the relevant practice group

Before NIVA vs. With NIVA

Real differences your team will feel from day one — not theoretical benchmarks.

Area Before NIVA With NIVA
Screening time Paralegal hours Automated first pass
Intake consistency Variable Standardised
Routing Manual By practice area
Response speed Delayed Instant

How NIVA Powers This

Under the hood this maps to NIVA's documented engines. The persona engine handles tone and routing for legal & compliance, drawing on a library of pre-trained personas so the agent speaks the language of the domain from day one rather than being trained from scratch. The flow engine runs the conditional steps in the sequence shown above, branching on the visitor's answers so each person follows the path that fits their situation. The smart-form engine surfaces structured fields at the moment intent appears, capturing clean data inline instead of bouncing the user to a separate form. Cross-session memory preserves context so returning users are recognised and never asked to repeat themselves. Finally, webhooks push the completed interaction into your systems of record, and per-persona tool calls can read live data from your APIs mid-conversation wherever an endpoint exists. None of these steps requires writing code; they are assembled in the no-code admin and embedded with a single script tag.
Who Is This For

This works in two directions. As a public-facing agent it engages prospects and customers directly on your website or app; as an internal tool it answers staff questions and runs intake against internal systems. The same engines power both, and which direction you deploy depends only on which knowledge sources and systems you connect. Many legal & compliance operators start public-facing for the traffic and conversion upside, then reuse the same build internally.

In practical terms, the shift looks like this: on screening time, you move from paralegal hours to automated first pass; on intake consistency, you move from variable to standardised; on routing, you move from manual to by practice area; on response speed, you move from delayed to instant. Each of these is a direct consequence of moving the interaction from a manual, human-gated channel to an always-available conversational one that still escalates to a person when the situation genuinely needs it.

NIVA Engines Persona Engine Flow Engine Smart Forms RAG Knowledge Webhooks
Implementation Note

Implementation reality: the conversational layer, routing, data capture, and system handoff are all within NIVA's documented no-code capabilities. Where this use case reads or writes live data, it assumes the relevant API or webhook endpoint exists on your side; that integration is the one piece worth scoping before launch. Start with the knowledge base and flow, then layer in live API calls once the core experience is proven.

Frequently Asked Questions

What is a legal intake & screening chatbot?
It is a NIVA-powered conversational agent in which legal-intake persona answers general questions from an approved knowledge base, the Flow Engine screens enquiries through Smart Forms, branches by matter type and basic conflict criteria, and routes qualified matters by webhook. It runs on your website or app and works around the clock without adding headcount.
How does NIVA build this without code?
You select a pre-trained Legal & Compliance persona, connect your knowledge sources, and assemble the flow and forms in the no-code admin. The example flow on this page can be replicated step by step, and the bot embeds with a single script tag.
Can it connect to our existing systems?
Yes. Completed conversations fire webhooks into your CRM, booking system, or ticketing tool, and per-persona tool calls can read live data from your APIs during the conversation where an endpoint exists.
How quickly can we go live?
Because the Legal & Compliance persona is pre-trained and the engines are no-code, a working version of this use case can be configured and embedded quickly, then refined against real conversations.
Ready to Deploy

Build This for Your Business in Hours, Not Months

No developers. No long setup. NIVA gives you every engine shown on this page — persona routing, flow automation, smart forms, and webhooks — as a ready-to-configure platform.