Sector reality

The challenge

A partner has two hours to shape a response and knows the firm has solved this many times before, but that knowledge is scattered across a decade of matters, and privilege means it can never touch an outside model. The firm's precedent is its edge, but only if it can be used without leaving the firm.

01
Privilege and confidentiality are absolute.

Feeding matter data into an outside model risks waiving privilege and breaching the duty of confidentiality.

02
The firm's edge is locked away.

Precedents, arguments and negotiated positions sit in the DMS and in partners' experience, too confidential to expose to public AI.

03
Ethical walls must hold.

AI that searches across the firm can cross conflict screens unless the walls are enforced on the AI itself.

The picture

Inside your tenant, and no further

Diagram: your law firm systems on the left, the KLapper Private AI Companion powered by Cerveau inside your own Microsoft Azure tenant in the middle with your permissions mirrored, and one cited answer on the right. Nothing crosses the tenant boundary.
How it fits together. Your law firm systems on the left. KLapper and Cerveau inside your own Microsoft Azure tenant in the middle, with your permissions mirrored. One cited answer on the right. Nothing crosses the boundary: your data is never sent to a public model and is never used to train one.
Regulation

Why sovereignty is non-negotiable here

Legal professional privilege and confidentiality duties, the SRA Code of Conduct, the ABA's Formal Opinion 512 on generative AI, GDPR and CCPA, and the EU AI Act all require client data to stay controlled.

What applies
Legal professional privilege
SRA Code of Conduct
ABA Formal Opinion 512
GDPR
CCPA
EU AI Act
Evidence

Industry signal, industry voice

Industry signal

Thomson Reuters (2025) found data security and confidentiality are the top barriers to legal AI adoption, and the ABA's Formal Opinion 512 (2024) confirms that a lawyer's duties of confidentiality and competence apply directly to generative AI (Thomson Reuters, 2025; ABA, 2024).

Industry voice

Thomson Reuters finds that 96 percent of legal professionals demand safeguards for confidential data, 94 percent demand outputs grounded in authoritative content, and 90 percent say AI must produce reasoning that can be explained and defended (Thomson Reuters, 2026).

The pattern

How KLapper helps

01
Drafts from firm precedent, in-house.

KLapper answers from your DMS (iManage cloud and on-premises, and NetDocuments), practice management and time and billing, all inside the firm.

02
Enforces your ethical walls.

Access mirrors your existing permissions and conflict screens, so the AI reveals only what a person may already see.

03
Cited and defensible.

Cerveau grounds every answer in firm content with a citation, and nothing leaves the firm.

Outcomes

The value

01
Precedent becomes leverage.

A decade of matters becomes searchable, cited knowledge in seconds.

02
Privilege protected by design.

Client data and work product never touch an outside model.

03
Confident adoption.

A sanctioned tool replaces risky shadow AI.

Systems it reads
DMS (iManage, NetDocuments)practice managementtime and billingSharePointand more
FAQ

Sovereign AI, answered

01What is Sovereign AI?

Sovereign AI is the principle that an institution should own, protect and control its own intelligence, running AI inside an environment it controls so its data and knowledge never leave and are never used to train public models.

02Does legal AI protect privilege?

It should: sovereign, in-firm AI keeps matter data in-house, enforces ethical walls, cites its sources, and never sends privileged content to an outside model.