AI in Legal

AI for E-Discovery

Process large volumes of legal documents efficiently with AI-powered classification, coding, and data redaction.

AI handles the heavy lifting in e-discovery by classifying documents, applying predictive coding, redacting sensitive data, and recognizing entities across massive document sets. When you're dealing with thousands or millions of documents in litigation, AI can categorize them, identify relevant materials, protect confidential information, and extract key entities like names and dates automatically. This reduces discovery costs dramatically and speeds up the process from months to weeks, while maintaining accuracy.

Application Examples

Document Classification

Automatically sorts and categorizes large volumes of legal documents.

Predictive Coding

Uses AI to quickly analyze and categorize documents for review.

Data Redaction

Identifies and conceals sensitive information across legal documents.

Entity Recognition

Identifies and categorizes names, dates, and legal terms in datasets.

Frequently Asked Questions

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AI for E-Discovery | Dentro AI