---
title: Auto Review Reviews
meta_title: 'Auto Review Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Auto Review works for a business like yours.
aggregate_rating:
  rating_value: 4.0
  review_count: 2
  scale: '5'
date_modified: '2026-08-24'
parent_category:
  name: Legal
  url: https://www.g2.com/categories/legal
---


# Auto Review Reviews
**Vendor:** DISCO  
**Category:** [eDiscovery Software](https://www.g2.com/categories/ediscovery)  
**Average Rating:** 4.0/5.0  
**Total Reviews:** 2  
**AI Enabled:** This product embeds AI to enhance or extend its core functionality.
## About Auto Review
Auto Review is DISCO&#39;s generative AI tool for first-pass issue and responsiveness review, built for speed and scale that manual review can&#39;t match. DISCO Auto Review is used by litigation support and ediscovery teams, law firms, and corporate legal departments handling large document sets under tight deadlines. Your team writes tag descriptions defining when a tag applies, and Auto Review evaluates the full set against those instructions, returning a tagging suggestion with a stated reason for every document — at recall and precision rates 10-20% higher than traditional human review. Teams can run Auto Review themselves with support from DISCO&#39;s in-house AI consulting team, or have the DISCO Review team manage the process end-to-end, including privilege review and exclusions. Auto Review runs on DISCO&#39;s secure infrastructure. DISCO Ediscovery is SOC 2 Type 2 and ISO 27001 certified and complies with GDPR, and the underlying LLMs never train on or retain customer data.




## Auto Review Reviews
  ### 1. Almost there

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Law Practice

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 14, 2026

**What do you like best about Auto Review?**

After refining the prompts and going through a couple of rounds of QC, the results of the auto review were overall impressive, especially if considered that the project contained documents in various languages besides English. The results were in line with DISCO's representation (about 80 to 90% exact responsiveness and issue tagging). For larger project this will end up saving substantial time and cost for the client. Support from the DISCO team was excellent.

**What do you dislike about Auto Review?**

I am not sure this is suited for all projects. There is a hard cap (albeit very high) to what AI can review per document a soft cap for issue tags that can be created per project. If a project contains numerous very large documents (spreadsheets seemed to be the most common offenders) Auto Review might not be the best option. The time required to generate and refine the prompt ended up being longer than we had expected, but this is partially due to our inexperience with the Auto Review process.

**What problems is Auto Review solving and how is that benefiting you?**

Auto Review seems to give clients and law firms that are cost sensitive an option to conduct e-discovery in  a more cost efficient way. It requires that clients tolerate some level of risk given by the fact that there is a margin of error in the results that may exceed thorough human review, but that same thorough human review would likely cost substantially more.

  ### 2. Cs Disco

**Rating:** 4.5/5.0 stars

**Reviewed by:** Arun V. | Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through Google using a business email account

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**Reviewed Date:** January 11, 2024

**What do you like best about Auto Review?**

User Friendly economical full of features easy to use good customer support

**What do you dislike about Auto Review?**

Lagging issue during big searches, global hits wont run as per the searches

**What problems is Auto Review solving and how is that benefiting you?**

Ease of reviewing documents with the use of AI and culling down documents saving cost



- [View Auto Review pricing details and edition comparison](https://www.g2.com/products/auto-review/reviews?open_modal_url=%2Fde%2Fproducts%2Fauto-review%2Fwishlists%3Fhost_path%3D%252Fproducts%252Fauto-review%252Freviews%26source%3Dsticky_header_pin&section=pricing&secure%5Bexpires_at%5D=2026-09-01+19%3A39%3A19+-0500&secure%5Bsession_id%5D=3fbab108-c202-42ba-8cfa-336c04c38e05&secure%5Btoken%5D=6ec384f34d8c8f3978cb96e3e3c38d27755cc19d2beaa7d3673d3210fbf7130b&format=llm_user)

## Auto Review Features
**Knowledge Management**
- Knowledge Management

**Autonomous Task Execution**
- Autonomous Task Execution

**Natural Language Processing**
- Natural Language Processing

**Adaptive Learning**
- Adaptive Learning

**Workflow Automation**
- Workflow Automation

**Natural Language Interface**
- Natural Language Interface

**Independent Decision Making**
- Independent Decision Making

**Proactive Intervention**
- Proactive Intervention

**For Legal Professionals**
- For Legal Professionals

**Legal Compliance**
- Legal Compliance

**Review Automation**
- Review Automation

**Legal Analytics and Insight**
- Legal Analytics and Insight

**Quality Assurance**
- Quality Assurance

**Contract Drafting**
- Contract Drafting

**Multi-step Planning**
- Multi-step Planning

**Text Summarization**
- Text Summarization

**Data Protection**
- Data Protection

**Automated Text Generation**
- Automated Text Generation

**Litigation Support**
- Litigation Support

**Cross-system Integration**
- Cross-system Integration

**Due Diligence**
- Due Diligence

**Document Collection**
- Legal Hold
- Document Collection
- Document Processing

**Generative AI - AI Legal Assistant**
- Text Generation
- Text Summarization

**Document Review**
- Document Review
- Project Analytics
- Project Templates
- Automated Review
- User Reporting
- Permissioned Access
- Production
- Reporting/Analytics

**LLM and NLP - AI Legal Assistant**
- Natural Language Processing (NLP)

**Technology Benefit - AI Legal Assistant**
- Drafting Assistance
- Review Automation
- Due Diligence
- Legal Analytics and Insight

**Agentic AI - eDiscovery**
- Autonomous Task Execution
- Multi-step Planning
- Natural Language Interaction
- Decision Making
- Third-Party Integrations

**Additional Functionality**
- Collaboration Tools
- Alerts/Notifications
- Full Text Extraction
- Document Imaging
- Audit Trail
- Data Import/Export
- Full Text Search
- Categorization/Grouping
- API
- Activity Tracking
- Search/Filter
- Compliance Management
- Document Storage
- Secure Data Storage
- Workflow Management
- Generative AI
- Optical Character Recognition
- Data Visualization
- Keyword Search
- Metadata Extraction
- Archiving & Retention
- Multiple File Format Support
- Data Retention Management
- Drag & Drop
- AI Copilot
- Document Management
- Commenting/Notes
- Tagging
- Metadata Management
- Topic Clustering
- Natural Language Search
- Two-Factor Authentication
- Customizable Reports
- Indexing
- Access Controls/Permissions
- Duplicate Detection
- User Management
- Case Management
- Dashboard
- Document Classification

**Consistency, Accuracy and Efficiency - AI Legal Assistant**
- Consistency and Quality Assurance

**Automation using Legal Tech - AI Legal Assistant**
- Litigation Support

**Compliance and Data Security - AI Legal Assistant**
- Data Protection

**Ease of Use and Adaptability - AI Legal Assistant**
- Ease of Use and Adaptability

**Agentic AI - AI Legal Assistant**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

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