The Law Practice Exchange — Match Engine
One search surface for buyer and seller matches across CRM and marketplace data
Explore the proposed Law Practice Exchange match engine: natural-language criteria translated into structured searches, ranked HubSpot and Marketplace.law results, and a user-approved Apollo fallback.
Evidence review updated
Project overview
- Client
- The Law Practice Exchange (#1 law firm M&A marketplace, US)
- Original industry
- Legal Services / M&A Marketplace
- Implementation
- Proposed 8–12 week implementation: Claude, HubSpot API, Marketplace.law, Apollo, workflow orchestration, and a React or Next.js interface.
- Evidence status
- Project-specific; not independently audited
- Buyer–seller matching
- Search
- Qualification
- CRM integration
THE STARTING POINT
The operating problem
Buyer and seller fit must be assessed across disconnected CRM records and live listings, making it difficult to surface, compare, and prioritize relevant opportunities quickly.
THE IMPLEMENTED SYSTEM
What Systemify delivered
Explore the proposed Law Practice Exchange match engine: natural-language criteria translated into structured searches, ranked HubSpot and Marketplace.law results, and a user-approved Apollo fallback.
Tools and platforms
Claude AI · HubSpot API · Marketplace.law · Apollo API · Make or Zapier · React or Next.js
Brokerage data stays governed. Material deal decisions stay human.
We design business broker systems around least-privilege access, documented data flows, protected credentials, traceable activity, and approval gates. Systemify does not use client information to train its own models. When a workflow uses an external AI provider, its purpose, data fields, and retention approach are documented and approved before client data is transferred.
PUBLISHED RESULTS
Operational comparison
This is a client project brief, not a delivered-results case study. The proposed scope is designed to create a controlled, reviewable match-discovery workflow; no performance outcomes are claimed.
| Comparison point | Before | Published outcome or configuration | Evidence basis |
|---|---|---|---|
| Search inputs | Separate systems and manual interpretation | Plain-language buyer or seller brief translated into structured criteria | Requested project scope |
| Match sources | HubSpot contacts and marketplace listings reviewed separately | Unified, ranked HubSpot and Marketplace.law results | Requested project scope |
| No-match path | No defined prospecting handoff | Apollo criteria pre-populated for explicit user approval | Requested project scope; no automatic outbound action |
WHY THIS MATTERS TO A BUSINESS BROKER
Directly relevant M&A implementation evidence
Direct M&A project scope: a controlled match-discovery workflow for connecting qualified buyer and seller criteria across CRM and marketplace data.
Your brokerage’s data, tools, process, market, and results will differ. We assess those conditions before recommending an implementation.
Relevant systems for business brokers
Speed to Lead Systems
Turn new enquiries into timely, well-routed conversations with automated acknowledgement, qualification, booking, and human follow-up.
Explore the service →CRM Automation
Connect intake, enrichment, handoffs, follow-up, and reporting so your CRM stays a reliable operating system—not a record of missed work.
Explore the service →Cold Outreach Automation
Build approved outreach workflows that source, prepare, personalize, send, and route replies while keeping targeting, preferences, and human review in control.
Explore the service →Start with your brokerage’s actual constraint
We will examine your buyer and seller pipeline, data, tools, handoffs, and approval requirements before proposing a system.
Talk to a Broker Systems Expert