We Built an AI Pipeline That Handles Client Intake in 12 Seconds

โก 12 seconds. That is how long this pipeline takes to go from form submission to organized folder, prep document, and two emails sent.
Every professional service business has the same problem nobody talks about.
A new client submits their info. Someone on your team has to read it, figure out what kind of matter it is, write a summary, create a folder, save a document, and send two separate emails. Before any real work even starts.
That is 20 to 30 minutes. Per inquiry. Every single time.
We just automated all of it.
The problem with manual intake
It is not that people are slow. It is that the process itself is broken. Reading a submission and deciding what type of matter it is, that is not skilled legal work. Writing a folder name and saving a document, that is not skilled legal work. Sending a confirmation email, definitely not skilled legal work.
But somebody has to do it. And that somebody is usually the most expensive person in the office.
We built a pipeline that takes that entire process off the table.
What happens when someone submits the form
A potential client fills out an intake form. The moment they hit submit, the pipeline runs in the background.
Claude reads the submission. Classifies the matter type. Assesses urgency. Generates a full preparation document. A new client folder gets created in Google Drive named after that client. The prep sheet gets saved inside it. The client gets an acknowledgment email. The lawyer or assigned team member gets a notification with the matter summary, urgency level, and a direct link to the prep document.
Nobody touched anything.
๐ก What a human assistant would spend 20 to 30 minutes doing, this pipeline does before the person who submitted the form has closed their browser tab.
Who this is actually for
We built this around a law firm because client intake and matter preparation is one of the heaviest admin workflows in any legal practice. But the same pipeline works for any business where clients submit information and someone has to prepare for a follow up conversation.
Immigration consultancies. Medical clinics. Financial advisors. Real estate operations. HR and recruitment firms. Insurance brokerages.
If someone on your team is manually reading submissions and prepping for client meetings, this is what we just replaced.
The stack
Four tools. Nothing exotic.
Tally handles the client facing intake form. Clean, simple, and fires a webhook the moment someone hits submit.
n8n is the automation engine that connects everything together and runs the full pipeline end to end.
Claude API is the brain of the operation. It reads the submission, figures out the matter type, assesses urgency, and writes the prep document.
Google Drive handles all the organization. Client folder created automatically, prep sheet saved inside it, named and ready from day one.
Gmail sends both emails at the same time. Client acknowledgment goes out. Team notification goes out. No manual drafting.
No proprietary platform. No vendor lock in. Tools that already exist, wired together in a way that removes the manual work entirely.
Same stack, different problem
This is the same core infrastructure we use to run the GB Studios content production pipeline, which generates AI video content end to end for YouTube.
Same tools. Completely different problem solved. One pipeline produces video. This one handles client intake.
That is what building on automation infrastructure actually means. You are not buying a tool built for one thing. You are building the capability once and shaping it around any workflow that needs it.
Where this goes next
The intake pipeline is the foundation. What we are building toward is a full Legal Document Intelligence Agent.
A system that accepts uploaded contracts, briefs, and correspondence. Reads and analyzes the content. Identifies key clauses, deadlines, obligations, and risks. Generates structured summaries with recommended actions.
The architecture being built now is designed so that upgrade is a natural extension, not a rebuild from scratch.
๐ If you want to see what this looks like for your business, reach out. We are offering demos now.
GB Tech is building in public. This is just the first pipeline.