Case Study – Lawpro.ai

Case Study · Legal AI

Proving what was already there.

How LawPro.ai rebuilt its marketing engine on HubSpot.

LawPro.ai was spending heavily on marketing with no way to prove any of it was working - unqualified leads, broken attribution, decisions made on gut feel. Six months later, the team trusts its data and acts on it.

6-month RevOps build Lead scoring & routing Attribution rebuild
LawPro.ai
IndustryLegal AI platform
PlatformHubSpot · Marketing & Sales
Engagement6 months, two phases
Markets2 verticals, one system
The Outcome, At a Glance
+15%
Increase in conversions within two months of the attribution fix
~49K
Contacts scored through the new qualification model
2
Go-to-market motions running on one unified system
The Challenge

Held together with duct tape.

LawPro.ai is a fast-growing legal AI platform. The product was solid and the customer base was growing but the go-to-market infrastructure, in their VP of Marketing's own words, was "held together with duct tape."

HubSpot was in place but wasn't doing much. Leads sat in the CRM without context, sales triaged everything by hand, and no one could see where the best leads came from or why deals stalled.

"Marketing was sourcing 50–60% of leads but couldn't prove it."
Amanda Collette · VP of Marketing, LawPro.ai
Broken attribution
Paid social entered HubSpot as an "offline" source, making productive campaigns look like they failed.
No qualification
Every lead went straight to sales with no scoring or routing. Some got instant follow-up; others sat for days.
Manual reporting
The team cross-referenced reports every week by hand just to find the real numbers.
Two markets, one fragile system
A new vertical with different buyers and no infrastructure to support a second motion.
The Solution

Clean the foundation, then build the engine.

Driftless approached the work in two phases - make the data trustworthy, then build the infrastructure to qualify, route, and prove the pipeline marketing was already generating.

01

Data Foundation

Resolved data-quality issues across the contact database, migrated the primary "Request a Trial" form into HubSpot, and built a custom "LawPro.ai Original Source" property to preserve paid-social attribution that was being lost on import.

02

Marketing Infrastructure

A 0–1,000 point lead-scoring model on fit and engagement with negative scoring for non-target contacts. MQLs route automatically to the right AE by territory, a first-touch attribution model credits the true source, and event leads connect to pipeline for the first time.

03

New Vertical Expansion

Segmented 2,600 company records, built a dedicated scoring layer running ~49,000 contacts through the new model, and launched tailored nurtures extending the same routing and lifecycle automation to run two go-to-market motions at once.

The Results
+15%

More conversions within two months of fixing paid-social attribution and improving targeting.

"We discovered that several paid social channels were underperforming and have since worked to improve targeting, segmenting, and increased the conversions by 15% in a matter of 2 months." — Amanda Collette

Consistent MQL-to-opportunity conversion
Now measurable since lead scoring and routing went live.
Faster follow-up, fewer dropped leads
Leads no longer fall through the cracks the way they used to.
40+ events wired to pipeline
Every booth scan and follow-up now connects to attribution for the first time.
The full funnel, finally in view.

The moment it came together was the first time Amanda could confidently walk her CEO through exactly which channels were driving leads, MQLs, SQLs, and opportunities. That complete funnel visibility - weekly, monthly, and quarterly - is what now drives LawPro.ai's decisions about where to invest, where to pull back, and how to scale.

They've been a true extension of our team - strategic thinking and hands-on implementation across marketing and sales. From lifecycle stages and lead scoring to funnel visibility and optimized reporting, they've brought clarity to our funnel, improved performance, and helped us scale efficiently. Strategic, responsive, and results-driven.
AC
Amanda Collette
VP of Marketing, LawPro.ai
What's Next

Each step builds on what's already in place.

Attribution reporting suite
A full marketing attribution reporting layer, in active development.
Event lead workflows
Refined to connect 40+ events a year to pipeline consistently.
Service Hub for CS
Extending the marketing foundation into the post-sale customer success function.
AI, layered in deliberately
HubSpot AI and Breeze applied where they do meaningful work not for their own sake.

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