Reveal | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Reveal

Name: Reveal
Price: Contact for Pricing USD
Author: Reveal Data Corporation

Backed By Reveal Data Corporation

Use this AI to streamline document review for legal teams in e-discovery processes.

Legal & Compliance

Overview

Reveal is an AI-powered e-discovery platform that automates document review, data processing, and case analytics for litigation support. It offers predictive coding, visual analytics, and workflow automation to help legal teams manage large-scale litigation and investigations. Reveal integrates with case management and compliance tools for seamless legal operations.

Use Cases

AI-powered document review

Predictive coding

Visual analytics dashboards

Case data management

Integrate with case management tools

Automate legal operations

Top Integrations

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API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Subscription/Annual Plan (Data Volume Based)

$800/month

Unlimited users

Pay-as-you-go

Custom Quote

Flexible pricing for varying case loads

Alternates Research On The Product

Top Features

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AI-driven analytics and automation (Predictive Coding/TAR, Clustering)

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Generative AI search ('Ask' feature)

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Email threading

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Sentiment analysis and emotion detection

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Image classification/content detection

Strengths

End-to-end platform covers all eDiscovery needs in one system.
AI-driven analytics, clustering, and predictive coding significantly reduce manual review time.
Visual analytics and the generative AI 'Ask' feature make filtering and searching very easy.
Efficiently processes and organizes large datasets, improving project strategy.
Responsive customer support.

Weaknesses

General eDiscovery data risks; mitigated by ISO27001 and SOC2 Type 2 certifications and explicit AI data-use policy.
Platform feeling like a 'Frankenstein's Monster' of acquired products, leading to inconsistent user experience or bugs in basic workflows.
Reliance on support for troubleshooting potential integration issues between the combined platforms.
Potential for high costs if data volume fluctuates significantly, despite the subscription model's aim for predictability.
User reports of 'catastrophic' and basic workflow issues on a major industry forum (Reddit/r/ediscovery).

Reviews From The Web

Real user experiences from across different platforms

Reveal has an end to end platform and covers all your eDiscovery needs. Their software is easy to use and user intuitive once you learn the basics. Their visual analytics make filtering and searching very easy, and their generative AI feature, Ask, is particulary helpful when trying to find answers to particular questions within your dataset. Their customer support is also extremely responsive when you run into issues or have questions.

Vanessa V.

2025-01-10

Recommendations

Organizations and firms requiring an end-to-end eDiscovery platform with powerful, integrated AI capabilities

iscovery platform with powerful, integrated AI capabilities.

Teams that handle complex data sources and high volumes of data and need fast processing and analytics

lumes of data and need fast processing and analytics.

Users on a strict, per-seat budget (pricing is data volume-based and tailored/subscription)

a volume-based and tailored/subscription).

Legal teams highly sensitive to the integration of acquired, disparate software interfaces

acquired, disparate software interfaces.

Final Verdict

An AI-powered, end-to-end eDiscovery platform that accelerates workflows, reduces review costs, and provides faster, more reliable insights for legal professionals in litigation, investigations, and compliance.

Best For

•Organizations and firms requiring an end-to-end eDiscovery platform with powerful, integrated AI capabilities.
•Teams that handle complex data sources and high volumes of data and need fast processing and analytics.
•Users looking for a single platform to manage the entire EDRM lifecycle.

Watch Out For

•Catastrophic issues with basic features as reported by some users on Reddit.
•Inability to easily use standard eDiscovery workflows like batch review and production sorting (user-reported issues).
•General eDiscovery data risks; mitigated by ISO27001 and SOC2 Type 2 certifications and explicit AI data-use policy.
•Platform feeling like a 'Frankenstein's Monster' of acquired products, leading to inconsistent user experience or bugs in basic workflows.

AI-driven features may have a learning curve, requiring time and training for new users to completely leverage their capabilities. Some users report slowdowns or longer processing times when dealing with very large datasets. User-reported issues include 'catastrophic issues with basic features,' feeling like 'different platforms stuck together' (Frankenstein's Monster) due to acquisitions, and issues with batch review workflow (no clear check-out, difficulty sorting by Bates after production).

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