Technical Overview
This section provides a high-level technical description of ClearTrace. It is intended to support understanding, evaluation, and integration without requiring deep familiarity with the underlying stack or implementation details.
ClearTrace is designed as a modular, auditable, and secure system that encodes governance constraints directly into its architecture.
System Architecture
ClearTrace is structured around a layered architecture that separates data intake, verification, analysis, and publication.
At a high level, the system includes:
Application Layer: User interfaces for contributors, reviewers, legal reviewers, and administrators. These interfaces are role-aware and expose only permitted actions and views. Governance & Workflow Layer: Moderation queues, verification workflows, scoring logic, guardrail decision processes, and policy generation. This layer ensures that no data moves directly from submission to publication without review. Data & Evidence Layer: Structured storage for cases, evidence, testimonies, legal filings, scores, and decisions. Evidence items are immutable once verified. Role-based access control, row-level security, audit logs, cryptographic hashing, and consent enforcement. Federation & Integration Layer: Optional synchronization mechanisms for sharing selected data across aligned instances. The architecture is designed to support independent deployment, federation, and future extensibility.
Data Models (High-Level)
ClearTrace uses structured data models to ensure traceability and auditability.
Core conceptual models include:
Entity — organizations or institutions under review Case — a container for related evidence and analysis Evidence Item — documents, records, or references supporting a case Testimony — protected, consent-aware experiential submissions Legal Proceeding — court cases, filings, and regulatory actions Score & Indicator — structured assessments of risk and impact Guardrail Decision — engagement boundary outcomes Policy Output — generated governance or engagement policies Relationships between models are explicitly defined to support pattern mapping, cross-referencing, and review.
Security & Row-Level Security (RLS)
Security in ClearTrace is defensive by design.
Key protections include:
Role-Based Access Control (RBAC): Distinct permissions for public users, contributors, reviewers, legal reviewers, and administrators. Row-Level Security (RLS): Fine-grained access rules ensuring that: draft or unverified data remains restricted sensitive testimony is visible only to authorized reviewers public views expose only verified, approved information Audit Logging: All actions affecting data state are recorded and reviewable. Evidence Integrity: Evidence files are hashed and timestamped at intake to prevent tampering. Consent Enforcement: Consent and anonymity settings are enforced at the data layer, not just the interface. Open-Source Philosophy
ClearTrace is developed as an open-source system to promote transparency, trust, and collective stewardship.
The open-source approach enables:
independent review of governance logic local adaptation without vendor lock-in federated innovation across aligned communities long-term sustainability beyond any single organization Open-source does not imply ungoverned use. Governance constraints, evidence standards, and consent requirements remain integral to the system regardless of deployment context.