A Boutique Law Firm Lead Gen System Sold for $1,800 Using n8n and Firecrawl
A small agency sold an n8n lead generation automation to a boutique law firm for $1,800 by automating prospect research, qualification, and personalized outreach prep.
The Strategy
This is the kind of automation sale that makes sense to a real client because it is tied directly to a revenue activity they already do by hand. A small law firm in Austin that specializes in insurance mediation was manually researching other firms, identifying the right attorneys, copying everything into spreadsheets, and sending cold outreach one lead at a time. The work was repetitive, slow, and too manual to scale. The builders sold the firm a lead generation automation that starts with a lawyer directory, finds target firms, crawls each firm's website, extracts attorney profiles, evaluates whether each attorney is a fit for insurance mediation referrals, and prepares a personalized cold email draft for each qualified lead. Everything gets logged into Google Sheets with the reasoning behind the qualification decision and a link to the draft email. The sales process is almost as useful as the workflow itself. Instead of pitching automation in the abstract, they ran an initial qualification call to find the painful manual process, then a discovery call where the lawyer shared his screen and walked through every step of his current lead generation workflow. Once the automation was clearly tied to future revenue, closing became much easier. Their normal price for something like this was $2,500 up front plus a $400 monthly retainer. They cut the first client a deal at $1,800 in exchange for using the project as a case study. That tradeoff makes this especially relevant for newer AI automation agencies trying to land early reference clients.
How It Works
Start with a discovery call where the client walks through the full manual lead generation process in detail, including how they decide which prospects are worth contacting.
Use a first n8n workflow as the entry point. Paste in a page from the Texas Insurance Law Section directory and scrape all listed firms from that page.
Use Firecrawl to extract firm names and cities from the directory table.
Check Google Sheets to confirm the firm has not already been processed.
Search the web for the firm's actual website and use AI to verify that the result is the real law firm site rather than a courthouse, directory listing, or irrelevant page.
Pass each verified firm to a second n8n workflow that processes the firm's website individually.
Use Firecrawl search with site specific queries to find attorney profile pages using keywords like attorney, partner, associate, and insurance.
Use Gemini 2.5 Flash to determine whether each discovered page is actually an individual attorney profile.
Extract structured information from each profile including name, role, practice areas, and contact information.
Qualify each attorney for fit based on insurance mediation relevance, validate that the email is a personal contact rather than a generic inbox, draft a personalized cold email, save the draft in Google Docs, and log all outputs to Google Sheets.
Results
The team sold the system to the client for $1,800 as an early case study deal. Their standard pricing target was $2,500 up front plus a $400 monthly retainer. The automation replaced a fully manual prospecting process that involved directory research, attorney qualification, spreadsheet entry, and personalized outreach preparation.
Our Take
We like this because it solves a concrete revenue workflow instead of an abstract efficiency problem. The legal niche is narrow enough that the qualification logic matters, which makes the AI layer more defensible than a generic scraper. We also like that the builders shared the actual sales motion: lead with diagnostic discovery, map the pain step by step, then sell the automation as a revenue system. The limitation is that we do not yet have downstream performance metrics like reply rate or signed cases from the outreach. Even so, this is a strong example of a niche automation agency offer that is specific, replicable, and sellable.
Related Strategies
More AI agent strategies you might find useful
Instant AI Lead Response Agent for Local Service Businesses
Landscaping company's lead-to-booked rate jumped 42% after deploying an AI agent…
OpenClaw Lead Response Agent for Blue Collar Businesses
An AI lead response agent for a moving company that responds to every inbound le…
19 OpenClaw Agents Running 24/7 for Local Service Businesses on $8/Month
19 specialized AI agents running 24/7 for plumbers, HVAC companies, and law firm…
Want more strategies like this?
Get weekly AI agent case studies in your inbox.