Lexpair
Match people to the right lawyer for their case.
AI legal lead generation and case matching for law firms.
- Client
- Lexpair
- Industry
- Legal Services / LegalTech
- Region
- Multi-region
- Engagement
- B2B & B2C · LegalTech lead-gen & matching platform
Lexpair connects people who need legal help with verified lawyers. Clients submit their case through guided forms; AI-assisted logic sorts each case and matches it to the right practice area and lawyer. Admins get full visibility into every lead. Built to scale across practice areas and regions.
The problem we set out to solve.
Legal leads were low-quality and unverified.
Case review and lawyer matching were done by hand.
There was no central admin control.
Lead status and progress were hard to see.
The old process could not scale across practice areas.
Case intake was not standardized, so responses were slow.
What success needed to look like
- Lawyers receive verified, relevant leads instead of unqualified inquiries.
- Case intake and lawyer matching happen without manual review bottlenecks.
- Admins get full visibility into every lead's status, end to end.
- The platform can expand across legal practice areas and regions without rebuilding.
How we delivered it.
01
Diagnose
Reviewed how leads moved from intake to lawyer match and found where unverified submissions, manual review, and missing admin visibility slowed everything down.
02
Design
Designed guided, structured case-submission forms and the AI-assisted categorization logic that routes each case to the right lawyer, alongside role-based admin controls.
03
Build
Built the platform in React on Supabase, wiring in Stripe for payments, Twilio and SendGrid for client and lawyer communication, and Google Maps and calendar integrations for scheduling, following weekly Scrum sprints from discovery through QA.
04
Launch
Deployed on Vercel with a moderation dashboard live from day one, so admins could review and control lead quality as real submissions started flowing.
05
Run
Kept the platform in ongoing maintenance and support, with the architecture ready to extend AI-assisted matching and scale across new legal practice areas and regions.
What we built.
We built a centralized, scalable web platform. Clients submit cases through structured, guided forms. AI-assisted logic categorizes each case and matches it to a relevant lawyer, so firms receive verified, actionable leads instead of raw inquiries. Admins moderate and track every lead from one dashboard, and an SEO-friendly CMS supports legal content. The system is designed for future AI expansion and multi-region growth.
Tech stack
Integrations
- SendGrid (email)
- Twilio (SMS)
- Stripe (payments)
- Google Maps
- Google Calendar
- Outlook Calendar
Lead quality in legal services comes down to structure — guided intake and clear matching logic turn unverified inquiries into leads lawyers can actually act on.
