Completion-triggered requests
A completed visit, job, or engagement starts the request at a natural moment.
Make customer feedback a dependable part of every completed job. Built specifically for law firms and legal practices, where high-intent inquiries need immediate, careful intake before prospects call another firm.
Built around your operation
When a matter reaches a firm-approved closing milestone, the client is invited to share feedback; concerns route privately to the responsible attorney and eligible clients receive the firm's chosen public review path.
Happy customers often leave silently unless the request is timely, simple, and connected to the service experience. For law firms and legal practices, high-intent inquiries need immediate, careful intake before prospects call another firm. The system should fit that reality—not force the team into a generic funnel.
A completed visit, job, or engagement starts the request at a natural moment.
Customers reach the correct public profile without searching for where to leave feedback.
Concerns open a private recovery path so the team can listen and respond directly.
New feedback is collected into a review queue the team can actually monitor.
We map how law firms and legal practices currently receive, qualify, and follow up with customers.
We configure the reviews workflow, connect the necessary tools, and write the customer-facing experience.
We launch, monitor, and improve the system with your team instead of leaving you with another tool to manage.
No. Pickaxe Pages is a done-for-you agency service. We design, implement, connect, and manage the system around your business.
We adapt intake, language, routing, and follow-up to the real customer journey. Typical scenarios include practice-area intake, consultation scheduling, case-status routing.
No. The system handles repetitive response and coordination while routing high-value, sensitive, or unusual conversations to the right person.
Usually, yes. We review your existing website, phone, calendar, CRM, inboxes, and reporting stack before recommending what stays, connects, or changes.