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Case Studies

INTAKE MARTECH

INTAKE

How I Cut a Law Firm’s Consultation No-Show Rate from 25% to Under 5% by Redesigning How They Answered the Phone

A regional law firm was losing one in four scheduled consultations and couldn't explain why. Every improvement came from what happened after the lead called, not before it.

25% → <5% Consultation no-show rate
AI-DRIVEN EFFICIENCIES MARTECH SALES

AI OPS

How I Gave a Law Firm’s Sales Team Back 15 Hours a Week by Automating Scheduling, Intake, Attorney Matching, and Follow-Up

The sales team was capable and motivated. After every signed consultation, they spent the next 15 to 25 minutes on scheduling coordination alone, then more time on CRM updates, follow-up drafting, and attorney coordination. The...

15 hrs/wk Admin time returned to sales per rep
AI-DRIVEN EFFICIENCIES MARKETING MARTECH SALES

LINKEDIN OUTREACH AUTOMATION

How I Built an AI-Driven Outreach System That Contacts 150 High-Value Prospects Per Month on LinkedIn and Feeds Qualified Leads into the Firm’s CRM Automatically

Estate planning and probate clients do not find their attorney through search intent. The buying cycle is long and relationship-dependent. The firms that win are the ones who were already in the relationship when the...

150/mo High-value ICP contacts reached
AI-DRIVEN EFFICIENCIES MARKETING

AI CONTENT PRODUCTION

How I Produced Four Ebooks in Six Weeks Using AI and Turned Them into a Lower-Cost Lead Pipeline the Sales Team Could Activate On Demand

Content production was stuck at one piece per quarter because every step ran through attorney time. Competitors with educational assets were building relationships during the research phase. This firm had nothing to offer a prospect...

-65% Cost per lead vs. paid search
FOUNDATION MARKETING

AGENCY RISK AND FOUNDATION

How I Protected a Law Firm’s Google Presence by Identifying What Their Agency Was Quietly Building Against Them

Rankings were up. Reviews were coming in. New office locations were going live. The managing partner had no reason to question it. The entire foundation was built in violation of Google’s core policies.

Penalty avoided Before Enforcement Occurred
AI-DRIVEN EFFICIENCIES ANALYTICS FOUNDATION MARTECH

REVIEW GENERATION AND NPS

How I Nearly Tripled a Law Firm’s Review Volume and Reached a 4.8-Star Average by Automating Their Reputation System

The firm relied on happy clients to leave reviews voluntarily. Fewer than five new reviews per month across all platforms. No system for asking, no process for catching detractors, and no idea what clients actually...

~3x Review volume in 6 months
ANALYTICS FOUNDATION INTAKE MARKETING MARTECH SALES

FULL-FANNEL REVENUE GROWTH

How I Grew a Law Firm’s Revenue by 25% by Correcting Every Broken System from Marketing to Close

Every function was capable. Each was losing efficiency at the handoff to the next. Fixing one without the others would have compounded the leaks rather than closed them.

+25% Revenue growth
ANALYTICS FOUNDATION MARTECH

DATA AND ATTRIBUTION

How I Saved a Law Firm’s Top Marketing Channel by Fixing the Data That Was Misreporting Its Results

The firm had every tool in place. A consultant had reviewed the data and recommended cutting paid search. That recommendation was based on numbers that were structurally wrong, and the firm was three weeks from...

All Channels tracked by cost per case after
MARKETING MARTECH SALES

UPPER FUNNEL LEAD GENERATION

How I Grew a Law Firm’s Lead Pool by 38% by Targeting Clients Earlier in Their Buying Decision

The firm had one offer for every prospect: a free one-hour consultation. Anyone not ready to book was invisible. Building for the period before the decision created a pipeline no competitor was competing for.

+38% Total addressable lead pool increase

Engineer the Next Stage of Your Growth

For founder led and partner driven law firms generating $5M to $45M or more annually, this confidential executive session evaluates whether your current growth system is engineered to withstand serious expansion or whether structural refinement is required before scaling further.

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