The business needed a faster first response so fewer inquiries were missed or delayed during key decision moments.
AI Automation
LEGALAXISCLIENT INTAKE CHATBOT
- Reduce response delays across the customer questions and requests the team handles most often.
- Improve response speed and routing quality from the first interaction through the right next step.
- Create a more reliable workflow the team can scale without adding repetitive manual work.
Project Objectives
For LegalAxis, the objective was to design an automation experience that felt more useful for customers, more efficient for the team, and more dependable as daily volume grows.
Reduce response delays and repetitive manual work around LegalAxis' most common requests.
Create clearer routing so the right conversations reach the right systems, teams, or next steps faster.
Build an automation workflow that can scale without creating a disconnected customer experience.
Client Intake Chatbot
The Challenge
LegalAxis needed a workflow that could do more than automate a single task. The system had to improve speed, consistency, and team efficiency without losing clarity for the user.
The Solution
We approached the system as a guided automation workflow, combining conversation design, routing logic, and practical integrations so the experience could stay useful for users and efficient for the team.
Conversation & Flow Design
We mapped the most common intents and shaped a clearer path from the first message to the right next action.
The Results
LegalAxis now has an automation workflow that responds more quickly, removes more repetitive work, and supports a smoother customer and team experience.
We reduced first-response time by
63%
so customers get answers faster and fewer conversations go cold.
We automated up to
78%
of repetitive support questions that previously needed manual handling.
We improved routing accuracy by
39%
with clearer logic that moves requests to the right next step sooner.
We scaled workflow capacity to
3x
without adding the same level of manual operational work.
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