File classification and tagging

Purpose

1.1 Automates document classification and tagging for legal case management, reducing manual sorting, minimizing errors, and streamlining retrieval and compliance.
1.2 Enables automated filing, searching, compliance check, and metadata assignment for contracts, briefs, case notes, and evidence with predefined taxonomies.
1.3 Automates the process to ensure each file is categorized by matter type, case status, client, and relevant keywords for fast, structured access and legal audits.

Trigger Conditions

2.1 Automatedly triggered on new file upload or scan to case files repository.
2.2 Manual tag assignment inside DMS interface starts automation.
2.3 Scheduled automation reviews for new files in dedicated case folders.
2.4 OCR detected text changes trigger classifying automation.
2.5 Email and e-filing ingestion processed for automated tagging.

Platform Variants

3.1 Microsoft Power Automate
• Feature/Setting: Automate “Classify PDFs” action via AI Builder; configure “Add tags to document metadata” for SharePoint DMS.
3.2 Zapier
• Feature/Setting: Automate between Gmail (New Attachment) and Google Drive (Apply Folder/Label/API Patch).
3.3 Google Cloud Vision API
• Feature/Setting: OCR detection and “LABEL_DETECTION” for automating file classification; REST endpoint configuration.
3.4 Azure Cognitive Services
• Feature/Setting: Form Recognizer automates document schema detection; Auto-tagging via “Set Tags” function to Blob Storage.
3.5 AWS Textract
• Feature/Setting: Automate text extraction from legal docs; configure Lambda for S3 Tagging.
3.6 DocuWare
• Feature/Setting: Intelligent Indexing automator for automated file classification; “Auto-Tag Rule Set”.
3.7 NetDocuments
• Feature/Setting: Configure ndThread with automated file criteria; “Auto Profile Rules” for matter-based tags.
3.8 M-Files
• Feature/Setting: Automates metadata-driven classification; "Automatic Metadata Assignment" configuration.
3.9 iManage Work
• Feature/Setting: iManage Work Automator for “Document Filing” and “AI Tagging Policy”.
3.10 Relativity
• Feature/Setting: Automated "Structured Data Tagging" using Relativity Integration Points.
3.11 Clio
• Feature/Setting: Configure “Automated Document Organization” via Clio Grow triggers.
3.12 Smokeball
• Feature/Setting: Automate “File Intelligence” and “Smart Tag” for document intake.
3.13 Everlaw
• Feature/Setting: AutomateUpload rules and “Auto-Tag with Predictive Coding” setup.
3.14 Box
• Feature/Setting: Integrate “Box Skills” for file classification automation; use Event Triggers and “Automated Classification Policy”.
3.15 Dropbox Business
• Feature/Setting: Use “Automated Tagging” via API or when a file is added/edited.
3.16 Alfresco
• Feature/Setting: Configure “Rule-based Folder Automation” for auto-tagg and classifier modules.
3.17 OpenText Content Suite
• Feature/Setting: Automated file capture and “Content Intelligence Tagging” engine.
3.18 Kira Systems
• Feature/Setting: Automator for smart contract review and “Automated Clause Tagging”.
3.19 NetApp Cloud Volumes
• Feature/Setting: Use “Cloud Compliance” for auto-labeling sensitive legal data.
3.20 OnBase by Hyland
• Feature/Setting: “Automated Document Classification” and “Keyword Tagging Workflow”.

Benefits

4.1 Automates repetitive file sorting, freeing legal staff for higher value tasks.
4.2 Automated document access improves response time for clients and courts.
4.3 Reduces risk of human error in file classification, improving data integrity.
4.4 Automatable compliance workflows ensure legal files meet regulatory tagging and retention mandates.
4.5 Automatedly enables secure, auditable records for every legal matter, ready for eDiscovery or review.