Altorney is a self‑service platform that lets law firms, ALSPs, and government agencies instantly source and manage legal talent for any project, providing real‑time tracking and productivity tools in a single interface. Its GenAI‑driven eDiscovery engine, MARC, automatically analyzes, categorizes, and vets documents—identifying relevance, privilege, PII, and other attributes—so reviewers can focus on high‑value information from the start.
Funding
Funding not disclosed
Founders
Product
Problem
Law firms, ALSPs, and government agencies often face lengthy, fragmented processes to locate qualified legal reviewers, manage eDiscovery projects, and ensure documents are accurately categorized for relevance, privilege, and privacy. This results in higher costs, reviewer burnout, and delayed case progress.
Solution
Altorney offers a self‑service platform that combines a legal talent marketplace with a GenAI‑driven MARC engine. Users can instantly source vetted legal reviewers, assign them to eDiscovery or document review projects, and monitor work in real time through a unified dashboard. Before documents enter the review environment, MARC automatically analyzes and tags each file for relevance, responsiveness, privilege, PII, PHI, trade secrets, and other attributes, reducing manual triage. The adaptive learning component refines classifications through simple yes/no feedback, continuously improving accuracy and surfacing high‑value information. By integrating talent sourcing, AI‑assisted document preprocessing, and real‑time project tracking, the platform streamlines workflows, cuts staffing overhead, and accelerates case timelines.
Target Audience
Primary customers are law firms, alternative legal service providers, and government agencies that conduct eDiscovery, large‑scale document review, or investigative projects and need efficient staffing and AI‑assisted document processing.
Features
- Marketplace of pre‑screened legal reviewers searchable by expertise, availability, and project scope
- Real‑time project management dashboard for task assignment, progress tracking, and productivity analytics
- MARC AI engine that auto‑categorizes documents for relevance, responsiveness, privilege, PII, PHI, trade secrets, and confidentiality
- Adaptive learning loop allowing reviewers to refine AI tags with simple yes/no inputs, improving model accuracy over time
- Integrated workflow that moves documents from AI preprocessing directly into the reviewer environment, eliminating duplicate handling
- Secure, cloud‑based infrastructure with encryption for data at rest and in transit, supporting compliance requirements