Copilot
Microsoft 365 Copilot
Generative AI inside Word, Excel, Outlook and Teams, grounded in the organization's own content and bounded by each user's existing permissions.
Legal · Modern Work & Automation
Sixteen hundred people live in two months
An international legal and tax firm, Europe. Fragmented manual workflows in a complex cross-border environment were slowing work, but nothing could be streamlined at the cost of security, governance or client trust.
The situation
What the organization was dealing with
Fragmented manual workflows in a complex cross-border environment were slowing work, but nothing could be streamlined at the cost of security, governance or client trust.
Cross-border professional firms carry a governance problem that domestic firms do not: the same workflow may touch several jurisdictions with different confidentiality expectations, and the tooling has to satisfy all of them simultaneously.
What was done
The work, and the part that was actually hard
Microsoft 365 Copilot was deployed to the whole firm in two months alongside new hardware, with data governance, security and compliance settled ahead of rollout rather than alongside it.
Deploying to sixteen hundred people in two months is fast, and the reason it was possible is that the governance, security and compliance questions were settled before rollout rather than during it. That is the opposite of how most large deployments are sequenced, and it is why most of them take longer.
Results
What was published
These are the figures exactly as reported in the source. Nothing has been rounded, extrapolated or restated.
Employees live in 2 months1,600
Lawyer-level accuracy reported90%
End-to-end deployment2 mo
What changed
- Manual steps removed from cross-border workflows without weakening controls
- Governance, security and compliance addressed before deployment rather than after
- Enthusiastic adoption because professionals remained clearly in control
- Teams freed for higher-value thinking and client service
Platforms involved
What each product was doing here
Security
Microsoft Defender for Cloud
Posture management and workload protection across cloud estates, surfacing misconfiguration before it is exploited.
Modern work
Surface
Managed hardware issued and secured through the same identity and device policies as everything else.
What transfers
If you were to attempt this
Front-loading the governance work compresses the deployment rather than delaying it. That trade is available to any organization willing to accept a slower start.
Where it usually gets harder than expected: The reported 90% lawyer-level accuracy is a self-assessed figure from the firm rather than an independent benchmark. It is a reasonable internal quality signal, not a validated measure, and should be read as such.
How we would take it on
Our approach to Modern Work & Automation work
1
Check what you already own
Most organizations are licensed for more than they have deployed. This step frequently reduces the engagement we were about to be paid for.
2
Assess permissions before AI
Copilot reaches whatever the user can reach. A decade of casual oversharing becomes visible on day one, and it is entirely avoidable if you look first.
3
Pick scenarios with the business
The functions that will use it know where their week goes. Scenario selection done inside IT produces pilots that impress nobody.
4
Measure in tiers
Usage, then time and quality, then business KPIs. Anyone promising the third before the first exists is guessing.
Recognise the problem?
If any of the above describes your organization, tell us where it hurts most. We will tell you what the same platforms could realistically do in your environment, what we would measure, and whether we think it is worth doing at all.
Talk to our teamMore Modern Work & Automation storiesWe reply to every message within one business day.
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