Document AnalysisLegal TechEdiscovery Software
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Everlaw

Simplify complex legal discovery with AI-powered insights

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Everlaw

Target Audience

  • Litigation attorneys
  • Corporate legal departments
  • Government investigators
  • Compliance officers

Hashtags

#LegalTech#LitigationSupport#Ediscovery#DocumentReview

Overview

Everlaw helps legal teams manage document-heavy litigation and investigations through cloud-based technology. Its AI assistant and machine learning tools help quickly identify key evidence while collaboration features streamline case preparation.

Key Features

1

AI Assistant

Generative AI helps craft legal narratives and identify patterns

2

Cloud-Native Platform

Secure, scalable infrastructure for large document sets

3

Rapid Search

Find relevant evidence across millions of documents quickly

4

Case Analytics

Visualize case data and track review progress efficiently

5

Collaboration Tools

Real-time teamwork features for deposition prep and trials

Use Cases

🕵️

Conduct internal corporate investigations

📑

Process FOIA/public records requests

⚖️

Prepare trial evidence and depositions

🔍

Manage complex ediscovery workflows

🛡️

Address data privacy compliance issues

Pros & Cons

Pros

  • AI reduces document review time significantly
  • Intuitive interface for non-technical legal professionals
  • Scalable for both small cases and massive litigation
  • Strong security certifications for sensitive data

Cons

  • Specialized for legal use (not general document analysis)
  • Pricing requires direct consultation/demo
  • Primarily web-based with no native mobile apps

Frequently Asked Questions

Is Everlaw secure enough for sensitive legal data?

Yes, Everlaw meets SOC 2 Type II compliance and offers granular permission controls for sensitive matters.

Can non-technical legal teams use this effectively?

The platform emphasizes user-friendly design with training resources and certification programs available.

How does AI assist with document review?

Machine learning identifies patterns and relationships in documents, surfacing relevant evidence faster.

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