Sapling Data

Sapling Data provides an eDiscovery platform designed to collect, analyze, review, and produce information directly from structured data systems such as Oracle, Salesforce, Workday, and Epic. The platform maintains the original structure and semantics of enterprise data to support efficient workflows for litigation, investigations, and compliance processes.

Key Features and Functions include:

Structured Data eDiscovery: Enables collection and review of data in its native structured form, preserving metadata and relationships between data points.

Interactive Review Environment: Allows users to navigate datasets such as text messages, HR records, and financial transactions through an integrated interface without converting data to static formats.

Visual Analytics: Provides dashboards and data visualizations that support early data assessment and help identify patterns or anomalies in complex datasets.

End-to-End EDRM Support: Covers the full Electronic Discovery Reference Model workflow—from collection through production—with built-in auditability and defensibility.

Industry-Specific Applications: Supports use cases in finance (fraud detection and compliance), healthcare (billing and case analysis), sales (contract and interaction reviews), and human resources (employment case timelines).

AI-Assisted Review: Incorporates predictive coding and anomaly detection to assist reviewers and improve analysis speed and accuracy.