Workflow Architecture

Custom AI Agents for Boutique Law Firms

Stop paying $500/month for generic legal AI wrappers. Here is the technical architecture to build and deploy your own private LLM agent locally.

Stop paying $500/month for generic legal AI wrappers. Here is the technical architecture to build and deploy your own private LLM agent locally.

Boutique law firms are being preyed upon by SaaS companies charging $500 per seat for a wrapper built on top of the Claude API. You don't need a subscription. You need raw plumbing.

Generic legal AI cannot access your active Clio matters in real-time, and it stores your confidential data on third-party servers. If you want true human capability multiplication , you must own the infrastructure.

The Custom Agent Architecture

Using an autonomous system approach, we deploy a local Python script running on a secure VPS that queries the Anthropic API directly with zero data retention.

import anthropic
 import sqlite3

 def invoke_legal_agent(case_notes):
 client = anthropic.Anthropic()

 prompt = f"""
 You are a Senior Litigation Paralegal.
 Review the following case notes and draft a formal demand letter.
 Do not invent facts.

{case_notes}

 """

 response = client.messages.create(
 model="claude-3-5-sonnet-20241022",
 max_tokens=2000,
 messages=[{"role": "user", "content": prompt}]
 )

 return response.content[0].text

This script costs $0.02 per run. You own the code. You own the data. The SaaS tax is eliminated.

Want the full deployment guide? Download the Blueprint or AI Workflow Repair Intake.

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