
VLT Notaires
Strategic AI Audit — Notary Practice
The context
An established, fast-growing firm that senses the inefficiency.
26 staff · notaries, clerks, brokerage, administration
The finding
in hidden costs per year, revealed by the audit.
Our method
The plan
Emails, cases, automated land-registry search.
Reference base, document analysis, governance.
Internal cockpit, client area, back office.
The result
A fast-growing firm that felt it was losing time.
VLT Notaires, 26 staff based in Grasse. The firm faced significant operational inefficiencies: time-consuming email management, manual case opening, tedious land-registry searches, and no client portal.
Before launching a digital transformation, the team wanted a full diagnosis. What is it really costing us? And where do we start?
The audit revealed €527,000/yr in hidden costs.
In a 4-week audit, 10 major frictions were documented and quantified. Email management alone accounted for €328,000/yr in losses — time notaries spent sorting, qualifying, replying.
709 cases a year were opened manually, each taking several hours at every step.
Our proprietary method, in 4 steps.
To quantify these costs precisely, we don't send out a questionnaire. We talk to people. Every role in the firm: notaries, clerks, brokerage team, administration.
From that material, we extract the frictions, map them, prioritise them. By the end of the audit, the firm knows where to start — and how much each action will return.
A 3-phase plan, with gains at every step.
Phase 1: a modular AI kit plugged into the costliest frictions. Estimated gain: +€403,000/yr. Deployable in 6 to 8 weeks.
Phase 2: a structured back office to absorb growth. Phase 3: custom web applications — internal cockpit, client area, back office. Phase 3 gain: +€532,000/yr.
Total investment €56,000. ROI in 2 months.
The math is clear: €56,000 to map and launch the transformation, against €935,000 in annual gains expected at full capacity.
The move to the development phase was approved immediately after the audit debrief. Phase 1 is currently being deployed.
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