Lexpair
Match people to the right lawyer for their case.
AI-assisted lead generation and matching, built for law firms.
Key takeaways
4 things that decide this
- 01Hashlogics built Lexpair, a legal platform that matches people to verified lawyers using AI-assisted case sorting.
- 02Clients submit cases through guided forms, and matching logic routes each one to the right practice area and lawyer.
- 03Admins moderate and track every lead from one dashboard, live from day one on Vercel.
- 04The platform runs on React and Supabase, with Stripe payments and Twilio and SendGrid messaging.
- Client
- Lexpair
- Industry
- Legal Services / LegalTech
- Region
- Miami, Florida (multi-region platform)
- Engagement
- B2B & B2C · LegalTech lead-gen & matching platform
If your firm's leads arrive unverified and unsorted, this is the build that fixes it. 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. Unverified submissions, manual review, and missing admin visibility slowed everything down.
- 02
Design
Designed guided case-submission forms and the AI-assisted sorting logic that routes each case to the right lawyer. Role-based admin controls sit alongside.
- 03
Build
Built the platform in React on Supabase. Stripe handles payments, Twilio and SendGrid handle messages, and Google Maps and calendars handle scheduling. Weekly Scrum sprints ran 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. The architecture is ready to extend AI matching across new 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. If you run a practice, that means fewer wasted intake calls and more cases you can actually take. 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.
- SubmitClient fills a guided, structured intake form.
- SortAI-assisted logic categorizes the case by practice area.
- MatchThe system routes it to a verified, relevant lawyer.
- ModerateAdmins review and control lead quality from one dashboard.
- TrackStatus stays visible end to end, for admin and lawyer.
If you run intake by hand today, this is the part that disappears first.
Tech stack
- React
- Supabase
- Vercel
Integrations
- SendGrid (email)
- Twilio (SMS)
- Stripe (payments)
- Google Maps
- Google Calendar
- Outlook Calendar
“Their attention to detail, quality of employees, and work ethic were outstanding.”
Nicolas de Quesada · CEO, Lexpair
Lead quality in legal services comes down to structure. If your intake is unstructured, no amount of volume fixes it. Guided intake and clear matching logic turn raw inquiries into leads you can act on.
