05
Case 05RAGChat + Human Handoff

LEGAL& PROFESSIONAL SERVICES

Client intake assistant with attorney handoff for substantive matters

RAGChatHuman Handoff
Systems:2
Journey Steps:6
Tech Components:8

The Problem

Firm knowledge locked behind busy professionals

01

Potential clients ask repetitive questions about processes, timelines, and required documents

02

Junior staff spend hours on intake inquiries that follow the same patterns

03

Sensitive matters need human handling but there's no structured handoff from initial inquiry

04

Firm procedures, checklists, and templates are scattered — hard for new hires to find answers

The Solution

AI intake assistant trained on firm procedures and guides

An AI assistant trained on your firm's intake procedures, FAQ documents, service descriptions, and document checklists. Handles initial client inquiries with citation-backed accuracy. Automatically escalates to an attorney when the conversation moves beyond informational into substantive advice territory.

System Capabilities

[01]Document ingestion for firm procedures and checklists
[02]Citation-backed responses with document references
[03]Prompt guard for content safety filtering
[04]Automatic handoff for substantive legal questions
[05]Attorney receives full conversation context
[06]Quality scoring on every response

User Journey

Step-by-step flow from initial contact to resolution

01

Client asks an intake question

RAGChat

"What documents do I need for a trademark application?" — via chat widget on firm website

02

Input filtered for safety

RAGChat

Prompt guard processes the input before it reaches the knowledge base

03

Firm KB searched

RAGChat

RAG retrieves the trademark filing checklist from firm documents

04

Cited response delivered

RAGChat

Client receives the document checklist with references to the specific firm guide

05

Client asks for specific advice

RAGChat

"Can I trademark a phrase that's similar to an existing mark in a different industry?"

06

Handoff to attorney

Human Handoff

Intent classified as requiring professional judgment — conversation transferred with full transcript and quality score

Pipeline Complete — 6 Steps

System Architecture

How data flows through the system for this use case

system-architecture.flow
N01

Client

Firm website chat widget

N02

Prompt Guard

Content safety filtering

N03

RAG Pipeline

Firm procedures and checklists

N04

Intent Classifier

Info request vs. advice needed

N05

Attorney Inbox

Full context handoff

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Client inquiries flow through the prompt guard, then the RAG pipeline searches firm documents. Informational questions are answered directly with citations. When intent classification detects a need for professional judgment, the conversation hands off to an attorney with complete context.

Tech Stack

Technologies powering this solution

01FastAPI
02Pinecone
03Groq / OpenAI
04WebSocket
05Human Handoff
06Prompt Guard
07Quality Scoring
08PostgreSQL
Ready to Deploy

Deploy This Solution

Custom-built for your specific documents, workflows, and channels.

LEGAL & PROFESSIONAL SERVICES — Fenlo AI Use Cases | Fenlo AI