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AI Is Ready for Law Firms. The Question Is Whether Your Permissions Are.

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AI Readiness in Legal

AI Is Ready for Law Firms.The Question Is Whether Your Permissions Are.

Thought Leadership | netDocShare | AI Readiness, Permissions and Matter-Level Access in Law Firms

A CIO at a mid-size firm greenlights an AI pilot. Three weeks in, an associate asks the firm’s AI assistant to summarize “everything about the Hendricks matter.”

The answer comes back instantly, pulling in a document from a completely different, ethically walled matter that the associate technically still had access to, but was never supposed to open.

Nothing was hacked. No malware. No traditional breach.

The AI simply followed the permissions it was given.

That one moment highlights the challenge many firms face as they move toward wider AI adoption: the technology can be ready before the firm’s information environment is.

Who can access the firm’s information today?

For a firm managing thousands of matters across decades of documents, emails, and shared workspaces, answering that question can be surprisingly difficult.

  • A former employee may still have access to an old folder.

  • A matter may have inherited permissions from a previous team.

  • A SharePoint site created years ago may contain documents that were never meant to be broadly accessible.

These permission decisions rarely attract attention when information is difficult to find.

As AI makes it easier to search, summarize, and connect information across the firm’s environment, the quality of those permissions becomes increasingly important.

That is where AI readiness begins.

The Security Question Behind AI Adoption

According to the 8am 2026 Legal Industry Report, which surveyed more than 1,300 legal professionals, the leading concerns around AI adoption are:

  • Data security

    46%

  • Ethical issues

    42%

  • Privilege concerns

    39%

  • Trust in AI-generated results

    39%

These concerns become particularly important in a legal environment, where access to information is often determined by the matter, client, role, or ethical wall involved.

The scale of the underlying challenge is significant. Concentric AI’s analysis of more than 550 million records found that 16% of business-critical data is overshared, with organizations averaging roughly 802,000 exposed files.

Consider a simple example.

A partner joins a new matter and receives access to a SharePoint site. That site contains documents from an earlier team, some of which were never properly restricted. The documents may remain untouched for years.

When information was difficult to locate, the permission issue could remain unnoticed.

With AI helping users search and summarize information across their working environment, those old permissions deserve much closer attention.

AI readiness therefore starts with information readiness.

The Adoption Gap Is Getting Harder to Ignore

AI adoption among legal professionals has jumped from 31% in 2025 to 69% in 2026, according to the 8am report.

Firm-wide adoption is still catching up:

  • General-purpose AI

    46%

    have deployed general-purpose AI across the organization.

  • Legal-specific AI

    34%

    have adopted legal-specific AI platforms.

The gap matters because lawyers are already seeing measurable value from AI. Wolters Kluwer’s 2026 Future Ready Lawyer Survey found that 92% use AI daily, while 62% report saving 6–20% of their time each week.

92% Use AI
Daily
62% Report Saving 6–20% Of
Their Time Each Week

For firms, the priority is becoming clear: put the right governance and information controls in place so adoption can scale with confidence.

Governance Starts with the Firm’s Source of Truth

For legal organizations, the document management system (DMS) provides an important foundation.

It already contains much of the context AI needs to work responsibly:

The context the DMS already carries

Matter, documents, permissions, ethical walls and authorized users, already joined up

Matter
→
Documents
→
Permissions
→
Ethical walls
→
Authorized users
The chain exactly as the article states it. Each link is already recorded in the document management system, which is why it is the natural place for AI access to be governed.

When that structure is carried through to the firm’s AI environment, access can be governed around the matter rather than around broad technical permissions.

That enables three important controls:

  • 1.

    Matter-level access

    AI can work with documents the attorney is authorized to access for the relevant matter.

  • 2.

    Ethical-wall enforcement

    Existing restrictions remain part of the access framework instead of becoming a separate control that must be managed independently.

  • 3.

    Traceability

    AI-assisted answers can remain connected to the underlying information and matter, giving firms greater visibility into where information came from.

This creates a stronger foundation for scaling AI across the firm.

The technology can move forward while the firm’s existing information governance remains part of the process.

What This Means for Legal Leaders

CIOs can approach AI adoption with a defined governance framework and a clearer path to scale.

Knowledge managers can build AI capabilities around the firm’s existing information architecture instead of creating another parallel permission structure.

CIOs A Defined Governance
Framework
Knowledge managers The Firm’s Existing
Information Architecture
Corporate counsel A Practical
Readiness Question

Corporate counsel evaluating outside firms can ask a practical readiness question:

“Can the firm demonstrate what its AI tools are permitted to access, matter by matter?”

When the permissions are right, the foundation is ready. And when the foundation is ready, AI has room to deliver its full value.

Frequently Asked Questions

That one moment highlights the challenge many firms face as they move toward wider AI adoption: the technology can be ready before the firm’s information environment is. These permission decisions rarely attract attention when information is difficult to find. As AI makes it easier to search, summarize, and connect information across the firm’s environment, the quality of those permissions becomes increasingly important. AI readiness therefore starts with information readiness.

For legal organizations, the document management system (DMS) provides an important foundation. When that structure is carried through to the firm’s AI environment, access can be governed around the matter rather than around broad technical permissions. AI can work with documents the attorney is authorized to access for the relevant matter. Existing restrictions remain part of the access framework instead of becoming a separate control that must be managed independently.

CIOs can approach AI adoption with a defined governance framework and a clearer path to scale. Knowledge managers can build AI capabilities around the firm’s existing information architecture instead of creating another parallel permission structure. Corporate counsel evaluating outside firms can ask a practical readiness question: “Can the firm demonstrate what its AI tools are permitted to access, matter by matter?” When the permissions are right, the foundation is ready.

Sourcing as stated in this article: the 8am 2026 Legal Industry Report, which surveyed more than 1,300 legal professionals; Concentric AI’s analysis of more than 550 million records; and Wolters Kluwer’s 2026 Future Ready Lawyer Survey.

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