GSK Stockmann's greatest asset is the judgment of its 250 professionals — today trapped in siloed systems and the heads of the partners who built it. LegalFab proposes to build the data foundation that makes that expertise searchable, reusable and firm-wide — in 25 weeks, without migrating a single byte — starting with the use case that pays back fastest: business development.
LegalFab is an AI-native platform that unifies data, workflows and decision-making across the firm — so legal work is carried out by intelligent, adaptive agents rather than fragmented manual processes. It spans the entire legal lifecycle:
This engagement lays the foundation and proves it on one stage of that lifecycle — business development — with every other stage available to follow, on the same platform.
A law firm's real value was never in its software. It lives in the judgment of its people — three decades of structuring funds, closing real estate, navigating capital markets — and in the matter files that hold how it was actually done.
But that knowledge is scattered. When a partner retires, their method leaves with them. When a matter closes, its lessons disperse into folders no one opens twice. The very thing that makes GSK Stockmann GSK Stockmann is the one thing the firm cannot yet search.
A single client appears in STP under one name, in Outlook under another, in a HighQ workspace under a third. To answer one simple question — what is our full exposure to this client? — someone opens four systems and reconciles them by hand.
Now multiply that by every conflict check, every pitch, every matter. It isn't a tooling gap. It's a tax the firm pays every day — in billable hours, in avoidable error, in the cross-sell no one saw.
It's tempting to blame the absent CRM, or the NetDocs migration still underway. Those are symptoms.
The root cause sits beneath them: GSK does not lack information — it cannot connect the information it already owns. STP, NetDocs, HighQ, SharePoint, PowerBI — each excellent, each an island. Until the plumbing joins them, no dashboard, no new hire, and certainly no AI can give the firm a single, trustworthy view.
Fix the foundation first, and everything above it becomes possible. Skip it, and every tool you add just automates the mess faster.
One place to ask anything — and receive an answer drawn from every system, with its source attached.
The same client resolved to one golden record across every office. A junior who can question thirty years of precedent in plain language. A partner's method for structuring a fund, captured once and reused by the whole practice.
This is the agentic law firm: not lawyers in service of the software — software in service of the lawyers.
The Knowledge Fabric connects to your systems exactly where they stand. No migration. No duplication. Source data never leaves its home. What used to take months of bespoke integration takes days — and the "invisible data" trapped by legacy systems and growth becomes an instant, usable asset.
Entity resolution stitches the same client, matter and counterparty across every source into a single golden record — matching partial names, reconciling conflicting details. Then Dialog lets anyone ask, in German or English, in plain language — and every answer comes back with full provenance you can defend.
In Studio, your experts capture their own methods as agents — reusable, governed, auditable, and bound to the firm's schema so they never invent. The secret sauce stops walking out the door at 7pm. It compounds. And what a firm can package, a firm can eventually license — a new line of value from expertise you already own.
Enough of the architecture to know it's real — without the spec sheet.
Five operational modes, set per workflow and changed as trust grows. You are always in control of how much the agents decide.
We would rather validate against your real systems from day one than against synthetic tests. That principle shapes the entire engagement below.
Given the gaps above — no CRM, no 360° client view, cross-sell invisible — business development is where the foundation pays back fastest. So it is the first use case we scope, and the one the first five agents serve.
This use case shapes the engagement: the schema is defined around business-development entities, Dialog's playbooks answer these questions, and the five agentic assets built in Phase 2 are these tools.
A phased path with a tangible win early — natural-language answers over your connected data long before the finish line.
Phase 0
We install and localize the platform, and sit with your domain experts to agree the schema — the contract that binds every downstream step to your reality.
Phase 1 · Foundation
Schema definition → MCP connectors to your sources → OSINT enrichment → automated discovery & cataloguing → the knowledge graph with entity resolution → Dialog for natural-language access → Studio, so your teams can build. Each stage ships a signed-off deliverable; the firm sees value accrue, not a black box.
Phase 2 · Agents
We capture a business domain with your experts and stand up five operational agentic assets — the first of the firm's expertise, made reusable, governed and auditable.
No black box. Each workstream has a concrete deliverable and an acceptance test you approve before we move on.
A phased build and a monthly platform subscription, scaled to the sources and scope agreed at design. Full commercial terms are provided under separate cover, alongside the outcome of scoping.
AI will not wait, and neither will the talent that expects to work this way. Lay the foundation this year and every future advance becomes leverage. GSK Stockmann has the expertise worth capturing. The only question is whether it stays trapped — or becomes the thing that sets the firm apart.
Let's build the agentic law firm — together