ProCounsel provides an AI‑powered eDiscovery platform that automates document review, cutting discovery time by up to 90% while delivering precise relevance scores, privilege detection, custodian mapping, and entity extraction. Users can upload case files from Google Drive, OneDrive, or local storage in formats such as PDF, DOC, TXT, and email, and the analysis runs on‑premise for secure, parallel processing. The tool enables legal teams to focus on strategy rather than manual review.
Funding
Funding not disclosed
Founders
Product
Problem
Legal teams must manually review massive volumes of documents during eDiscovery, a process that is time‑consuming, error‑prone, and costly, often delaying litigation strategy and increasing risk of missing critical evidence.
Solution
ProCounsel offers an on‑premise AI pipeline that ingests case files from cloud storage services or local drives and processes them in parallel to generate relevance scores, privilege flags, custodian mappings, and extracted entities. The system delivers actionable outputs such as document classifications, summaries, and redactions, enabling lawyers to prioritize high‑value evidence quickly. By automating first‑pass review and providing searchable insights, the platform reduces discovery time by up to 90% while maintaining enterprise‑grade security (SOC 2 Type 2 certified). Users interact with the results through a web interface that supports AI‑driven chat, chronology creation, and production‑ready formatting, allowing legal teams to focus on case strategy rather than document triage.
Target Audience
Primary customers are corporate legal departments, law firms, and litigation support teams that handle large-scale document reviews for litigation, regulatory investigations, or compliance audits.
Features
- Parallel AI analysis of PDFs, DOCs, TXT, emails, images, audio, and video files on‑premise for data confidentiality
- Machine‑learning relevance scoring and privilege detection to prioritize critical evidence
- Automatic custodian mapping and entity extraction for relationship and contact identification
- Document classification, summarization, and concise highlights to streamline review workflows
- Integrated AI chatbot that answers case‑specific queries with direct references to source documents
- Chronology creation and timeline generation from timestamps across all file types
- File redaction and highlight tools that mask sensitive information while preserving context
- Export of discovery files in production‑ready formats and responsive scoring for compliance reporting