Lexbe eDiscovery Platform
Enterprise-grade eDiscovery and AI-driven document intelligence for boutique and mid-market law firms.
Accelerate investigations with unsupervised machine learning and multidimensional concept mapping.
Brainspace, now a core component of the Reveal ecosystem, represents the pinnacle of investigative analytics and data visualization technology in 2026. Its architecture is built upon patented unsupervised machine learning algorithms that ingest massive unstructured datasets—billions of emails, documents, and chat logs—to create a multidimensional 'Brain' or concept index. Unlike traditional keyword search tools, Brainspace utilizes Latent Semantic Indexing (LSI) to understand context, identify themes, and map relationships between entities without prior training or human intervention. In the 2026 market, it serves as the industry standard for Early Case Assessment (ECA) and internal investigations, offering a visual 'Cluster Wheel' that allows users to drill down into specific data clusters in seconds. The platform's Continuous Multimodal Machine Learning (CMML) enables high-speed predictive coding, allowing legal and forensic teams to prioritize the most relevant documents based on minimal user feedback. As enterprises face exploding data volumes from Slack, Teams, and specialized SaaS platforms, Brainspace's ability to normalize and visualize complex communication networks makes it an indispensable asset for high-stakes litigation, antitrust reviews, and white-collar crime investigations.
A patented interface that visualizes the semantic relationships between documents in an interactive, hierarchical wheel.
Enterprise-grade eDiscovery and AI-driven document intelligence for boutique and mid-market law firms.
The Unified Intelligence Platform for End-to-End eDiscovery and Information Governance.
AI-Augmented Managed Services for Global Legal, Compliance, and Business Operations
Enterprise-grade generative AI for hyper-speed legal discovery and case strategy.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An active learning engine that simultaneously learns from user tags and improves its predictive model in real-time.
Graphical mapping of sender/recipient data to show communication frequency and intensity.
Uses LSI to find documents related by concept even if they share no specific keywords.
The ability to export a trained machine learning model and apply it to a completely different dataset.
NLP-driven scoring of document tone (Hostility, Pressure, Intent).
Normalizes disparate aliases (e.g., 'J. Smith' and 'John Smith') into a single entity profile.
Responding to massive government data requests under tight deadlines.
Registry Updated:2/7/2026
Identifying suspicious behavior across thousands of employee communications.
Determining which PII was compromised after a cyber incident.