Clifford Chance's 'Knowledge Bank': what a bespoke AI KM build actually means for the rest of us

What it is

Clifford Chance has launched an AI-enabled KM platform, developed in partnership with Microsoft and Epiq Advisory, called Knowledge Bank. The platform's design was led by Epiq Advisory for Law Firms, the knowledge management and technology consulting arm of Epiq, and received technical input from Microsoft. Delivered in six months, the project signifies a break from the traditional model of buying third party software for legal knowledge management and retrieval.

Practically: it's a firm-internal RAG system sitting on Microsoft 365 and Azure. The new knowledge bank, now holding more than 400,000 of the firm's documents and allowing natural language search, is built entirely within Microsoft 365 and Azure.

The next-work-session test

If you're a Clifford Chance lawyer opening Word tomorrow morning to redline an indemnity clause on a cross-border M&A deal, Knowledge Bank is where you go first. Lawyers ask questions in everyday language and receive summaries, citations, and suggested precedents within Word, Outlook, and other Office apps. Ask "how have we drafted mutual indemnity caps in EU tech carve-outs since 2023" and you get precedent hits scoped to what you're actually cleared to see — a lawyer can query the entire repository but will only see documents they are authorized to access, based on client confidentiality rules, jurisdiction, and deal-team memberships.

If you're not at Clifford Chance, the honest next-session test is different: this is a reference architecture, not a product you can buy. The takeaway is what it implies for your own vendor conversations.

Pricing

Pricing: unverified. This is an internal Clifford Chance platform, not a SaaS listing. There's no public price for "Knowledge Bank" because it isn't sold — the buildable components are Azure AI services, SharePoint, Graph API, and Epiq Advisory's consulting time. Firms wanting something comparable would be looking at Azure OpenAI consumption pricing plus a six-month advisory engagement, neither of which is disclosed in the launch materials.

What we'd actually use it for

For most in-house and mid-market Legal teams, the useful move isn't cloning this — it's using the launch as a spec sheet when you talk to your own KM vendor or IT. Three things from the Clifford Chance design are worth stealing verbatim:

Limits

A few honest caveats:

• You can't buy it. The Artificial Lawyer piece is a firm announcement, not a product page. Any "we want that" conversation goes through Epiq Advisory or a Microsoft partner — expect a bespoke build, not a subscription.
• Six months is Clifford Chance's number. Delivered in six months, the project signifies a break from the traditional model of buying third party software for legal knowledge management and retrieval. That's the firm's claim about its own project; your timeline depends on how clean your document estate is. Curation of 400,000 documents is the invisible cost.
• Redlines and clause-level negotiation aren't the headline use case. This is retrieval and precedent surfacing. Actual clause-by-clause redlining against a house style still lives in tools like the Word track-changes workflow or a dedicated contract review add-in.
• Privilege is only as safe as the metadata. Permissioned search stops the wrong lawyer seeing the wrong file. It doesn't stop a prompt from leaking context if the model deployment isn't tenant-isolated. Ask specifically about Azure OpenAI data boundaries — the Azure OpenAI Service pricing and deployment page is where those tenancy questions get answered.
• It's Microsoft-native, end to end. Microsoft-native architecture: Built entirely within Microsoft 365 and Azure, including SharePoint, Power Platform, Graph API, and Azure AI Studio, ensuring seamless integration, enterprise-grade security, and alignment with IT strategy. If your firm runs on Google Workspace or iManage-first, this pattern doesn't transplant cleanly.

Try it if

• You're at Clifford Chance and you have access — start with the precedent queries that used to eat a paralegal afternoon.
• You're a KM lead at a firm large enough to justify a bespoke Azure build and you want a credible reference architecture to show your managing partner.
• You're evaluating Epiq Advisory as an implementation partner and want a live case study to press them on.

Skip it if

• You're a small in-house team hoping this is a product you can procure this quarter. It isn't.
• Your priority is redlining and clause negotiation, not precedent search — different tool category.
• You don't already have a curated, well-tagged document estate. Pointing this pattern at a messy shared drive reproduces the mess, faster.
• You're not on the Microsoft stack. The value here is native integration; without it, you're buying complexity.

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This content is for informational purposes only and is not legal advice. Confirm confidentiality, privilege, and jurisdictional rules before using any AI tool with client matters.