I build production-grade automation — email, intake, and document workflows — that gives law firms and service businesses their hours back. Accurate, secure, and built for real data from day one.
Context-aware drafting and routing that turns hours of repetitive email into minutes of review. Connected to your inbox and CRM, running 24/7.
Assistants trained on your private data and agents that take action — update the CRM, trigger workflows, reason across steps. Accurate retrieval, minimal hallucination.
retrieve → reason → act
Automated intake, document generation, and demand-letter pipelines — secure, structured, and built for the volume and accuracy legal work demands.
A US law firm handled high volumes of client, court, and counsel email by hand — reading each, pulling matter context from Clio, drafting, then polishing with AI. Routine replies took 7–10 minutes.
An n8n automation linking Outlook (Microsoft Graph) and Clio. An AI agent runs 24/7: filters irrelevant mail, pulls matter context automatically, and drafts a context-aware reply ready to review and send.
Replies now take 1–2 minutes to review and send instead of 7–10 — about 80% faster — with irrelevant mail filtered out before it reaches the queue.
≈80%
faster replies
1–2m
per email
24/7
always on
100%
matter context
Personal-injury demand letters are built by hand — pulling facts from intake notes, medical records, and billing, then structuring liability and damages into a persuasive package. It's detail-heavy work that ties up paralegals and attorneys on every case.
An AI pipeline that ingests case documents, extracts the facts and damages that matter, and drafts a structured, attorney-ready demand letter in the firm's format — consistent every time, built for review rather than from scratch.
Attorneys start from a complete first draft instead of a blank page — case facts assembled and formatted automatically, so the work shifts from assembling to reviewing.
The business ran its pipeline across Stacker and Airtable, with updates, hand-offs, and follow-ups done manually. Data drifted out of sync between tools and routine steps quietly ate the team's day.
n8n automations wiring Stacker and Airtable together with an AI layer: records sync automatically, routine actions fire on triggers, and the AI handles the judgment-call steps — enrichment, routing, and drafting — in between.
The CRM stays current on its own and the manual busywork between tools is gone — the team works the pipeline instead of maintaining it.
A clear, low-risk path from the first call to a system that runs your operation — and keeps running.
We map the repetitive process you want gone — the triggers, the tools, the edge cases — and agree on what 'done' looks like.
I design the workflow and the AI's guardrails: what it reads, how it decides, and where a human stays in the loop.
I build it on production-grade tooling, wire it into your inbox and CRM, and test it against your real, messy data — not a happy-path demo.
It goes live running your operation. I monitor, tune, and stay on for the months that follow — so it's still working later, not just at launch.
The toolkit behind systems that hold up on real data — not demo-ware that breaks in week two.
I'm an AI automation engineer who builds systems that run real operations — not demos. I work mostly with law firms and professional-services businesses, automating the repetitive, high-volume work that eats a team's day. I'm a Computer Engineering graduate and a Top Rated freelancer on Upwork, and I care about one thing above all: that what I ship is accurate, secure, and still working months later.
Still unsure if your process is a fit? The fastest answer is a ten-minute call.
Book a callYes. Systems run in your environment with your accounts and keys — your data isn't sold or used to train public models. I build to the access and retention rules your work requires, with human review where accuracy matters.
A short call to see if a process is worth automating. If it is, I scope a first build with a clear deliverable — usually one workflow you can watch run end-to-end before we expand.
Most engagements are fixed-price per build, or hourly for ongoing work. You'll know the number before we start — no surprise invoices.
That's the whole point of how I build. It's tested on your real, messy data before launch, with a human in the loop where it counts, and monitored after — so the failure cases are handled, not discovered in production.
Law and professional services are my focus, but the same systems fit any business drowning in repetitive email, intake, and document work.
Tell me about the process. I'll tell you straight whether it's worth automating — no pitch, no obligation.
Or email directly · farooqumer694@gmail.com