ALAN is a post‑forensic assistive writing platform that helps law‑enforcement agencies convert unified factual data and underlying evidence into review‑ready, court‑defensible reports. By ingesting evidence in a read‑only format, linking assertions to source material, and providing deterministic, auditable validation, it streamlines evidence management and reduces rework. The tool is designed to withstand adversarial scrutiny, ensuring reports remain defensible throughout investigative workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Law‑enforcement agencies must process ever‑increasing volumes of digital evidence, but existing tools require manual synthesis, duplicate effort, and produce reports that can be challenged in court due to inconsistent evidence handling.
Solution
ALAN is a post‑forensic assistive writing platform that streamlines the creation of investigative reports by ingesting digital evidence in a read‑only format and linking each assertion directly to its source material. The system enforces deterministic, auditable validation rules that ensure every claim can be traced and verified, reducing rework and improving consistency. By standardizing evidence management and workflow steps, ALAN enables agencies to generate review‑ready, court‑defensible reports more quickly while maintaining a clear chain of custody for all data.
Target Audience
Primary users are law‑enforcement investigative units and forensic analysts who need to produce legally robust reports from large digital evidence sets.
Features
- Read‑only evidence ingestion that preserves original data integrity
- Automatic linking of report statements to specific digital evidence items
- Deterministic validation engine that audits each assertion for consistency and completeness
- Unified view that overlays core factual data with underlying source documents
- Workflow templates that enforce standardized reporting procedures