People. Technology. Process

Gen AI Integration

Key technical roles in engineering of
Advanced Processing Engine

• Purpose: Multitenant, Kubernetes-native, cloud-agnostic data processing platform composed of pluggable, testable data processing units.
• Tech Stack: .NET Management microservices, Kafka and RabbitMQ for queuing, scheduling, distribution and result reporting.
• Exactly-Once: Platform implements exactly-once semantics; client library simplifies client-side exactly-once implementation
• Scaling / Ops: KEDA autoscaling on Kubernetes using RabbitMQ throughput and queue-length metrics; designed to scale to thousands of pods.
• Storage: Built-in abstractions for long-term cloud storage (AWS S3, Azure Blob).
• Testing & Release: Automated deployment/testing for each PR (unit, Aspire, integration, load) with differential code coverage; CI/CD, Helm charts, NuGet packages

Key technical roles in engineering of ZyLAB LegalHold (as of 2025 Reveal Legal Hold)

ZyLAB LegalHold is a cloud-based legal hold management solution that helps organizations preserve electronically stored information (ESI) when litigation, investigations, or compliance events arise. It streamlines issuing holds, tracking custodian acknowledgements, preserving relevant data, and maintaining defensible audit trails.

Main Capabilities

• Hold issuance & management: Create, schedule, and manage legal holds across matters.
• Custodian preservation: Identify custodians, preserve data in place or through collections.
• Notifications & acknowledgements: Send notices, track responses, and send reminders.
• Audit trails & reporting: Maintain full, defensible logs and generate compliance reports.
• Integrations: Connect with eDiscovery, email systems, file shares, and cloud storage.
• Compliance & governance: Policies, retention controls, and role-based access for legal teams.

Key technical roles in engineering of ZyLAB ONE

ZyLAB ONE is a cloud-based e-Discovery and document review platform. It helps organizations collect, process, search, review, and produce large volumes of electronic data (emails, documents, files) in a legally defensible way.

Main Capabilities

• Data ingestion: Import from many sources (e.g. Office 365, file shares, email).
• Processing & indexing: Text extraction, OCR for scans, and metadata indexing.
• Search & analytics: Keyword search, filters, clustering, and ML-based assisted review.
• Review & tagging: Web-based document viewer with tags, coding, and annotations.
• Production: Create production sets with Bates numbering in native, PDF, or TIFF formats.
• Redaction & privacy: Automated redaction/pseudonymization for GDPR and other regulations.