Automate intake, extraction, and system integrations with structured data — at enterprise scale
Build custom ingestion, extraction, and integration workflows that transform unstructured documents into context-rich, structured outputs. Designed for teams automating operational processes and populating downstream systems reliably.
Ingest documents automatically from internal or external sources using configurable intake rules that prepare them for extraction.
2. Parse
Extract fields, entities, and relationships with structured outputs that stay consistent across formats, layouts, and document types.
3. Get data
Receive customized outputs (CSV, JSON, Markdown) and deliver them into your internal systems through custom product integrations or API-based workflows.
4. Validate & improve
Validate extracted data, resolve edge cases, and refine outputs through an iterative feedback cycle that drives accuracy toward production-ready performance.
Universal format compatibility
Process PDFs, emails, scans, images and handwritten documents with reliable, structured outputs.
Built for scale
Parallel processing and dynamic scheduling maintain performance across high-volume workflows.
Prompt-based extraction
Modify extraction rules instantly without retraining or rebuilding pipelines.
Secure by design
Built for legal enterprise environments with industry-standard security and privacy controls to support compliance obligations.
AI parsing engine
Combines deep-learning OCR, layout-aware models, and entity recognition to interpret document structure and produce context-rich data for downstream workflows.
Scheduler parallelism
Executes ingestion and extraction tasks in parallel using a distributed scheduler, ensuring consistent throughput across high-volume workloads.
Data management layer
Stores structured outputs in optimized databases with lineage, traceability, and clean integration paths for internal systems or AI-driven workflows.
Faster integration: Automatically generate reliable metadata to populate ERPs, CRMs, matter systems, analytics dashboards, and other internal tools.
Enterprise performance: Built on resilient, containerized infrastructure with predictable throughput and zero-downtime updates.
Continuous improvement: Automated testing ensures consistent accuracy across OCR, layout, and citation functions.
Full encryption (TLS and AES-256)
All data is encrypted in transit and at rest, ensuring confidentiality throughout processing and storage.
Immutable storage for audit history
Outputs can be stored in tamper-resistant formats to support audit trails, compliance workflows, and client reporting requirements.
Secure, distributed architecture
Deployed on fault-tolerant, containerized infrastructure with optional data-residency controls to meet jurisdictional and regulatory requirements.
Enterprise-grade access and privacy controls
Role-based permissions, strict data isolation, and clear privacy controls ensure your documents remain your own. Customer data is never used to train LexSelect’s models.
See what the Enterprise Workflow Platform can do for your organization