Local AI for Law Firms

An assistant that knows your firm's archive – without sending files to the cloud.

Lawyers lose hours searching old contracts for clauses, retyping templates and reading scans. That work takes time, not legal expertise.

We deploy a private AI system on an Apple computer in your office. It searches case files, drafts documents and reads scans. Your team uses it in the browser, and your legal research tools and practice management software stay exactly as they are.

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What it looks like in practice

Without AI

A client asks about a penalty clause in a 2022 contract. The attorney spends 20–30 minutes searching folders and reading. One question, one expert, half an hour gone — at €80/h that is money lost on admin.

→
With AI

The attorney types the question. In 47 seconds the AI returns the exact clause, paragraph number, and full text — sourced from your own archive, data never leaving your office.

ROI Breakdown

MetricBefore AIWith AIMonthly Impact
Document search time per question20–30 min< 1 min−95%
Standard pleading draft1–2 h10–15 min−80%
Hours recovered / attorney (at €80/h)—~20 hup to ~€1 600 potential billings
Where case files and queries goCloud AI provider's serversOnly the firm's own networkFewer parties with data access
Potential additional revenue (3 attorneys)——up to ~€4 800 / month

The presented values are estimates based on average market data. Actual return on investment (ROI) depends on the specifics and scale of your company's operations.

✓

What stays unchanged

  • LEX / Legalis — unchanged
  • LegalDesk / Amberlo — unchanged
  • Folder structure and email — unchanged
  • All existing workflows — unchanged
+

What we add

  • Built-in local OCR for court files and pleadings
  • One chat window knowing your entire archive
  • Draft generation from your own case files
  • Instant clause and precedent lookup
  • Documents and queries processed locally, no cloud AI
  • Local processing of financial data and Excel sheets (BI)

Where this goes

Now (mo. 1–3)

Document search in seconds, a draft in 10–15 minutes (the attorney reviews and finalises it), full archive searchable by every team member.

Scale (mo. 4–12)

Automatic contract risk analysis on intake, legislative change monitoring for active cases, e-signature integration.

New revenue (yr 2–3)

New revenue model: fixed monthly legal retainer for SMEs — AI handles routine queries, attorney handles strategy. Same team, room for more clients.

LEGAL STANDARD
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Professional secrecy and file security

Attorney–client confidentiality

Lawyers may use AI tools, but they remain responsible for protecting confidential client information – including when they entrust it to an external provider. With a local system, files and queries are processed inside the firm's network, so you don't have to assess a cloud AI provider's terms and server locations.

Who sees which documents

Access is role-based: you can create separate document collections for teams or matters and decide who can use them. If 3oz services the system remotely, we sign one clear data processing agreement with you.

AI drafts, the lawyer decides

Answers and drafts are working material. The system points to the source document, and a lawyer always reviews the final text. Uses like search and drafting usually fall under the limited or minimal risk categories of the EU AI Act.

Frequently asked questions

Do we have to change the software we use?

No. The AI assistant runs alongside your legal research and practice management tools as a separate browser window. We load selected folders with case files and templates into it.

Can the AI make mistakes?

Yes, like any language model. That's why the system shows the passage and document its answer is based on, and drafts are always reviewed by a lawyer.

Can we use the assistant outside the office, e.g. in court?

Yes. You connect through an encrypted network (Tailscale), without exposing the firm's server to the public internet.

How does a deployment start?

With a free 30-minute consultation. We identify which tasks take your team the most time, then propose a hardware setup and the scope of the first phase.

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