What is Logikcull?
Logikcull empowers legal teams and organizations to manage eDiscovery and legal data processes efficiently through AI-driven automation and intelligent data culling. By leveraging direct integrations with major platforms like Slack, Microsoft 365, and Google Vault, users can easily collect, sort, and review data with minimal manual intervention.
Advanced features such as automated redaction, data indexing, deduplication, audio/video transcription, and sensitive information detection, help streamline case assessments, legal holds, and compliance tasks. Logikcull's secure, closed-loop environment ensures defensibility and data integrity from initial ingestion to data production and sharing.
Features
- AI-Driven Data Culling: Automatically filters, categorizes, and reduces data sets for efficient review.
- Automated Redaction: Instantly redact sensitive information across documents, audio, and video.
- End-to-End Discovery Workflow: Supports the entire process from data ingestion to production and sharing.
- Direct Cloud Integrations: Seamlessly connects with Slack, Microsoft 365, Google Vault, Box, and more.
- Audio/Video Transcription: Converts audio/video content into searchable text using AI.
- Bulk Document Review: Enables fast fact-finding with deduplication, threading, tagging, and collaboration.
- Automated Legal Holds: Manages hold notices and reminders via email and Slack.
- PII Detection: Uses AI to identify and redact personally identifiable information.
Use Cases
- Legal teams conducting early case assessments
- Automating legal hold management in corporations
- Responding to subpoenas and FOIA/open record requests
- Legal firms performing large-scale document reviews
- Internal investigations involving communication data from Slack or Microsoft 365
- Detecting and redacting sensitive information (PII) in legal documents
- Transcribing audio and video evidence for discovery
- Data preservation for regulatory compliance
Related Queries
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Logikcull Uptime Monitor
Average Uptime
100%
Average Response Time
195.6 ms
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