HARELaw

Every matter. Every privilege. Every search. Proof.

HARELaw is designed to provide runtime governance for legal AI—intended to support attorney-client privilege protection, matter boundaries, and conflict rules through cryptographic evidence.

Sector Disclaimer: Vertical examples illustrate intended application domains. Sector-specific compliance requires independent legal and technical validation.

The Challenge

Legal AI Has a Privilege Problem

Law firms are deploying AI for document review, research, and drafting. But when opposing counsel asks "Did your AI access any privileged documents?"—you need proof, not promises.

The Risk

  • AI assistant with access to all firm documents
  • No technical barrier between matters
  • Conflict checks that run after AI has already seen data
  • Privilege claims without enforcement evidence
  • Malpractice exposure from AI information leakage

What HARE Provides

  • Matter-scoped access enforced at runtime
  • Privilege boundaries that AI cannot cross
  • Conflict checks before any data access
  • Cryptographically verifiable evidence of what AI saw and didn't see
  • Deny-no-signal: conflicts leak nothing about protected matters

Capabilities

Governance Capabilities in HARELaw

01

Attorney-Client Privilege

Documents marked privileged are cryptographically protected. AI cannot access privileged content outside authorized privilege scopes—even if the AI "has" access to the document store.

02

Matter-Scoped Access

Every AI query is bound to a matter. The Arbiter enforces matter boundaries—an associate working on Matter A cannot accidentally (or intentionally) query Matter B documents.

03

Conflict-of-Interest Enforcement

Before any access, the Arbiter checks conflict rules. If the requesting user or matter has a conflict, access is denied—and the denial reveals nothing about the conflicted matter.

04

Legal Hold Compliance

Documents under legal hold cannot be deleted, modified, or have their access patterns changed. Hold status is enforced at runtime with evidence.

05

Cryptographically Verifiable Evidence

In a governed deployment, each operation is intended to produce Evidence Artifacts. When you need to prove what your AI did or didn't access—you have cryptographic proof, not server logs.

06

Ethical Wall Enforcement

Firm mergers, lateral hires, secondments—all create ethical wall requirements. HARE is designed to enforce walls at runtime with evidence indicating enforcement was not bypassed.

How It Works

Legal Document Review Workflow

1

Document Ingestion

Documents are ingested as Capsules carrying their matter, privilege status, and access rules. Policy travels with the data.

Capsule Creation
2

AI Query with Matter Context

Associate queries AI: "Find all documents mentioning the 2024 merger." Query carries matter ID and user identity.

PLAN mode
3

Arbiter Enforcement

Arbiter checks: Is user authorized for this matter? Any conflicts? Any privilege restrictions? Only permitted documents are returned.

Runtime Enforcement
4

Evidence Generation

Evidence Artifact records: what was queried, what was returned, what was filtered, which policies applied. Cryptographically signed.

Proof-of-Action

Professional Responsibility

Ethics Rule Alignment

HARELaw mechanisms support compliance with professional responsibility rules.

Rule Requirement HARE Mechanism
Model Rule 1.6 Confidentiality of information Matter-scoped encryption, access enforcement
Model Rule 1.7 Conflict of interest (current) Pre-access conflict checking with deny-no-signal
Model Rule 1.9 Duties to former clients Persistent conflict rules, ethical wall enforcement
Model Rule 1.10 Imputation of conflicts Firm-wide conflict propagation, lateral hire walls
Model Rule 5.3 Supervision of nonlawyers AI operation audit trails, human oversight evidence

Use Cases

Where HARELaw Applies

A

Document Review & Discovery

AI-assisted document review with privilege protection. Provide opposing counsel with cryptographic evidence indicating privilege enforcement was maintained during AI-assisted review.

B

Legal Research

AI research assistants that can access firm work product—but only within authorized matter boundaries. No cross-matter contamination.

C

Contract Analysis

AI contract review with client confidentiality enforced. Prove that one client's contracts were never used to inform analysis of another's.

Ready to Govern Your Legal AI?

Contact us to discuss pilot programs and integration with your firm's AI systems.

law@hareprotocol.ai