Everlaw

What is Everlaw?

A litigation team receives two terabytes of Slack messages and emails three weeks before trial. Instead of hiring fifty contract attorneys to read every line, they upload the files into a system that groups similar conversations and highlights the most relevant evidence automatically.

Everlaw, Inc. built this cloud-based ediscovery platform to solve the massive data problem in modern litigation. The software helps legal professionals search, review, and collaborate on documents for internal investigations and lawsuits. It competes directly with legacy systems like Relativity by offering faster processing speeds and a more modern interface.

Key Features and How Everlaw Works

AI and Machine Learning

• Everlaw AI Assistant: Generates deposition summaries and drafts legal memos, limited to specific plan tiers.
• Predictive Coding: Ranks documents by relevance based on reviewer behavior, requiring a minimum coded document set to function accurately.
• Clustering: Groups millions of documents by conceptual similarity, limited by the quality of text extracted from the files.

Data Processing and Search

• Visual Search: Uses a drag-and-drop interface for building Boolean queries, limited by browser memory on extremely large datasets.
• Instant Translation: Translates document text across 100 languages instantly, though complex legal phrasing sometimes requires human verification.
• Data Processing: Ingests 100+ file types including Slack, limited by the user’s upload bandwidth.

Collaboration and Trial Prep

• Storybuilder: Organizes evidence into interactive chronologies, but presents a steep learning curve for non-technical paralegals.
• Communication Visualization: Maps relationships between individuals, limited to metadata available in the uploaded files.

Everlaw Pros and Cons

Pros

• Fast processing speeds allow users to begin reviewing documents within minutes of upload.
• Unlimited user seats on all plans remove the cost barrier for adding external counsel.
• Frequent software updates every four weeks ensure users have access to the latest features.
• Security certifications including FedRAMP Moderate and SOC 2 Type II provide high-level protection.

Cons

• The per-gigabyte pricing model becomes highly expensive for massive corporate datasets.
• Advanced generative AI features require specific plan tiers and additional configuration.
• Users report occasional browser lag when browsing document sets exceeding one million pages.

Who Should Use Everlaw?

• Mid-sized litigation boutiques: Teams needing advanced AI tools without paying per-user license fees.
• Corporate legal departments: In-house counsel managing internal investigations with predictable data volumes.
• Solo practitioners (Not Recommended): The $250 monthly starting price and usage-based data fees make this tool too expensive for lawyers handling small cases.

Everlaw Pricing and Plans

Everlaw offers a paid pricing model with a free trial available for testing the interface.

The Starting Plan costs $250 per month.

This tier includes core platform features, unlimited user licenses, and basic AI Actions. The Enterprise Custom plan requires contacting sales for a quote. This tier uses usage-based pricing based on data volume at a per-gigabyte rate.

It also requires an annual platform subscription.

The free trial functions as a true trial, allowing users to test data ingestion before committing to a contract.

How Everlaw Compares to Alternatives

Similar to Relativity, Everlaw handles massive document reviews for complex litigation. Relativity requires extensive certification to master its complex interface. Everlaw provides a more modern, intuitive design that new users learn quickly. Relativity still dominates the largest enterprise deployments due to its entrenched market position.

Unlike Logikcull, which targets smaller firms with simple drag-and-drop uploads, Everlaw includes advanced predictive coding and clustering. Logikcull charges predictable flat rates for smaller projects. Everlaw scales better for complex cases but its per-gigabyte pricing creates unpredictable costs for massive data dumps.

Reveal competes with Everlaw by offering strong visual analytics and AI models. Reveal focuses heavily on pre-trained AI models for specific case types like antitrust or fraud. Everlaw integrates its generative AI Assistant directly into the drafting workflow (I found this feature highly effective for drafting quick memos). Both platforms charge based on data volume.

Final Verdict for Legal Teams

Mid-sized law firms handling complex litigation get the most value from Everlaw. The unlimited user model makes it easy to collaborate with co-counsel and expert witnesses. The AI tools speed up document review significantly.

Firms handling massive, multi-terabyte cases on tight budgets should look elsewhere. The per-gigabyte pricing model scales poorly for data-heavy matters. If you need a simpler tool for small cases with predictable pricing, Logikcull is a better alternative.