What does consultance.ai build?

Production AI engines: agents, voice, vision, RAG, workflow automation, and predictive models — designed, deployed, and maintained end-to-end.

Who is consultance.ai for?

Real estate firms, property management companies, and operations-heavy businesses worldwide. Active clients across Dubai, London, Toronto, and Pakistan.

How long from idea to deployed engine?

Proof of concept in 1–2 weeks on your real data. Production engine deployed in weeks 3–6. Self-healing systems and team training included.

How does pricing work?

30-minute discovery call is free. Written audit follows in 1–3 days. Build is project-priced; ongoing partnership is a flat retainer with unlimited servicing.

Do you transfer code and IP?

Yes. Code and IP transfer at every milestone. No subcontractors, no offshore handoffs — direct line to the engineers building.

What stack do you build on?

OpenAI, Anthropic Claude, Vercel, Supabase, Next.js, React, Tailwind, Stripe, Linear, and GitHub — production-grade tools the team trusts.

Legal automationCuratedMedium

Claude for Legal

Claude just replaced the junior associate floor at BigLaw. Twelve workflows. Partner-ready output. The work firms bill $400/hour to deliver.

operator summary

Who this is for

Best for boutique firms, in-house teams, and legal ops leads replacing junior-associate hours with structured Claude workflows.

where consultance.ai fits

We would deliver a deployed legal workspace: firm-branded prompts, matter intake automations, partner-review checkpoints, and a redaction step before anything is sent.

install path

Setup steps

Clone the Anthropic Claude for Legal repository and review the included skills.

Wire up Court Listener MCP and any Westlaw or PACER access your firm already has.

Test the chronology and demand-letter skills on closed matters before live work.

Add review gates so a partner signs off before any drafted document leaves the firm.

where it breaks

Before you connect live data

• Run dummy data first. Real client data is not a test bed.
• API keys never go in a public repo. Use env vars and a secrets manager.
• Add logging, access control, monitoring, and a rollback path before launch.
• Read the license. Forking a repo without checking is how lawsuits start.

license note

Credit the original author

Verify the Anthropic Claude for Legal license and your firm's regulatory obligations before using Claude on privileged matters.

We list this as a guide, not as our build, unless we are actively maintaining a fork.

Claude setup prompt

Paste this into Claude. It will install it for you.

Open Claude or Claude Code. Paste the prompt below. It will ask you a few setup questions, then walk you through every step adapted to your machine.

You are helping me install and run **Claude for Legal** on my machine.

Repo / link: https://github.com/anthropics/claude-for-legal
Category: Legal automation
What it does: Claude just replaced the junior associate floor at BigLaw. Twelve workflows. Partner-ready output. The work firms bill $400/hour to deliver.
Difficulty: Medium

Setup steps from the public guide:
1. Clone the Anthropic Claude for Legal repository and review the included skills.
2. Wire up Court Listener MCP and any Westlaw or PACER access your firm already has.
3. Test the chronology and demand-letter skills on closed matters before live work.
4. Add review gates so a partner signs off before any drafted document leaves the firm.

Before writing or running anything, ask me these in ONE batch and wait for my reply:

1. What operating system am I on? (macOS / Windows / Linux)
2. Do I already have Docker installed and running?
3. Do I have Git installed?
4. Do I have Node or Python installed, and what versions?
5. Which model provider keys do I have available right now? (Anthropic, OpenAI, Gemini, OpenRouter, none)
6. Where do I want this installed on disk?
7. Is this just to test locally, or am I planning to connect it to live business data soon?
8. Anything sensitive (real client data, payment access, mailbox access) it should NOT touch on this machine?

After I answer, walk me through each setup step adapted to my environment. Stop after each step, show me the command, and wait for me to confirm it ran before moving on. If a step fails, diagnose the actual error before suggesting the next move. Do not connect this to live business data until I explicitly say go.

implementation path

Want it wired into your business instead of your laptop?

A repo on your machine is a starting point. The work that pays back is connecting it to the CRM, inbox, payments, and team processes you already run. That is the part we ship.

Book a discovery call Back to the library