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graphlion

graphlion provides a platform that ingests all case‑related documents—PDFs, emails, filings, spreadsheets, and scans—and automatically maps the relationships between people, companies, and timelines. Users can ask natural‑language questions and receive answers traced back to the original source across the entire evidence base, enabling faster, more defensible case building. The system supports any format and volume, turning scattered evidence into connected intelligence.

HQ unknown
5+ followers
  • Artificial Intelligence
  • Legal Technology
Updated 24 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Legal teams must sift through thousands of heterogeneous documents—PDFs, emails, filings, spreadsheets, and scans—to locate relevant facts, but existing tools lack the ability to surface hidden relationships across this evidence, leading to prolonged case preparation times.

Solution

Graphlion automates the ingestion of all case‑related documents, regardless of format or volume, and applies entity extraction and timeline mapping to structure people, companies, and events. The platform builds an interconnected knowledge graph that captures the relationships embedded in the evidence. Users can pose natural‑language queries and receive answers that are directly linked to their source documents, providing a transparent audit trail. This enables faster, more defensible case building by surfacing connections that would otherwise remain hidden. The solution is delivered as a cloud‑based service that scales with the size of the case file set.

Target Audience

Primary users are litigation attorneys, paralegals, and legal investigators who need to analyze extensive document sets for corporate, regulatory, or dispute resolution cases.

Features

  • Universal document ingestion pipeline supporting PDFs, emails, filings, spreadsheets, and scanned images
  • Automated entity recognition and timeline construction to map people, organizations, and events
  • Knowledge‑graph engine that links extracted entities across the entire evidence corpus
  • Natural‑language query interface that returns answers with citations to original source documents
  • Scalable cloud architecture allowing rapid processing of large document volumes
  • Secure data handling with encryption at rest and in transit to protect confidential case information
This profile is AI-generated and may contain inaccuracies.