IBM Watson Discovery vs OpenText Legal Knowledge Management comparison

IBM and OpenText are both solutions in the Indexing and Search category. IBM is ranked #8, while OpenText is ranked #13. IBM holds a 4.3% mindshare in IS, compared to OpenText’s 4.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.

IBM Watson Discovery

Read 4 IBM Watson Discovery reviews

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392 Comparison Views

100% willing to recommend

OpenText Legal Knowledge Ma...

Read 1 OpenText Legal Knowledge Management review

344 Views
200 Comparison Views

100% willing to recommend

IBM Watson Discovery

OpenText Legal Knowledge Ma...

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 28, 2025

OpenText Legal Knowledge Management and IBM Watson Discovery are solutions in AI-driven knowledge management. OpenText is noted for its pricing and support, offering a cost-benefit balance, while IBM Watson Discovery is recognized as the superior product with robust features justifying its price.

Features: OpenText Legal Knowledge Management offers document management, collaboration tools, and secure access tailored for legal professionals enabling streamlined workflows. IBM Watson Discovery provides advanced AI-driven analytics, natural language processing, and uncovering insights from large data sets, appealing to diverse use cases beyond the legal domain.

Ease of Deployment and Customer Service: OpenText Legal Knowledge Management provides flexible deployment with strong support and responsive customer service addressing legal-specific queries. IBM Watson Discovery supports cloud-based deployment with extensive integration capabilities and technical support expertise for AI-related deployments, accommodating broader tech infrastructure.

Pricing and ROI: OpenText Legal Knowledge Management is valued for low setup costs offering faster ROI, ideal for budget-conscious legal firms. IBM Watson Discovery involves a higher initial investment but promises significant long-term ROI through powerful analytics and AI features.

To learn more, read our detailed Indexing and Search Report (Updated: December 2025).

Buyer's Guide

Indexing and Search

December 2025

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Helped 879,768 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM Watson Discovery

Ranking in Indexing and Search

8th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

OpenText Legal Knowledge Ma...

Ranking in Indexing and Search

13th

Average Rating

10.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Knowledge Management Software (13th)

Mindshare comparison

As of January 2026, in the Indexing and Search category, the mindshare of IBM Watson Discovery is 4.3%, up from 3.2% compared to the previous year. The mindshare of OpenText Legal Knowledge Management is 4.1%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Indexing and Search Market Share Distribution
Product	Market Share (%)
IBM Watson Discovery	4.3%
OpenText Legal Knowledge Management	4.1%
Other	91.6%

Indexing and Search

Featured Reviews

Geraldo Lima

Sales Director at Kukac

Stable, scalable, and has testing and conversational AI features

The total time it takes to deploy IBM Watson Discovery depends on the documents you'll be working with. For example, I was in a situation where I was working with some painting files and folders for a painting store. The store had PDF documents, but the information was mixed up, so I had to treat the documents on IBM Watson Discovery, and discovering and understanding each PDF file took longer. The process is more straightforward for plain documents, and you have to work with questions that will help IBM Watson Discovery understand the documents. The time to deploy the product depends on the quantity and type of documents you'll be working with.

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reviewer1719999

Vice President at a tech services company with 11-50 employees

Frequent updates, highly stable, and robust

We have had thousands of users, the solution is highly scalable. We have had a large installation of OpenText Decisiv and there were approximately 6,000 users. The user's roles vary, such as records managers. Additionally, depending on the organization, a lot of our clients are in the federal government which they have different types of roles, but most of them are end-users. They're searching for documents or the records that are in their repository, there are document producers, but most people are searching.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Language support and the ability to build a natural language of speech recognition are the most valuable features."

"The most valuable feature of IBM Watson Discovery is testing, mainly because the product applies conversational AI, which means I can ask questions to get the information I want from a specific test area."

"The most valuable features of IBM Watson Discovery are the integration with the rest of the Watson Suite and the Watson Assistant capability. If you use Watson Assistant, the ability for it to be able to determine the accuracy of your voice models and your voice response systems is a benefit."

"Being able to have some rules to extract the entities is valuable. The capability to crawl external sites and internal documents, and then draw internal information with external contents is also valuable."

"The most valuable feature of OpenText Decisiv is they are always improving."

Cons

"There are probably other chatbots out there that were built for specific use cases and are easier to deploy than this. Having said that, Watson is way more flexible. While it may require a greater amount of effort, it is not substantially more than some of the other ones that are kind of prebuilt for a specific use case. It would be good to have more prebuilt and specific use cases and specific business models. It can have better phone integration, even though I think that it is actually becoming less of an issue. Most people are online nowadays."

"The support from IBM Watson Discovery is good but could improve to make it great."

"The pricing is an area for improvement in IBM Watson Discovery because the customer initially used the free version. Still, when he needed more questions and documents, he had to move to a different version, which was paid and cost $500 per month. That change in pricing made my company lose many customers."

"It needs a lot of memory. Our index is very big. It is around 100 gigabytes. So, we need more than 100 gigabytes of memory to use Watson."

"OpenText Decisiv is difficult to do customization. They need to improve this."

Pricing and Cost Advice

"IBM Watson Discovery is an expensive product."

"Cost-wise, it is very reasonable because it is cloud-based."

"The price of the solution can vary drastically because it depends on the modules that a client using. There is an additional cost of approximately 25% for maintenance."

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Comparisons

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Microsoft FAST vs IBM Watson Discovery

Compared 41% of the time

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OpenText Knowledge Discovery (IDOL) vs OpenText Legal Knowledge Management

Compared 57% of the time

Microsoft FAST vs OpenText Legal Knowledge Management

Compared 43% of the time

More OpenText Legal Knowledge Management Competitors

Product Reports

Buyer's Guide

Indexing and Search

December 2025

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Buyer's Guide

Indexing and Search

December 2025

OpenText Legal Knowledge Management report

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Overview

Watson Discovery is an award-winning enterprise search and AI search technology that breaks open data silos and retrieves specific answers to your questions while analyzing trends and relationships buried in enterprise data. Watson Discovery applies the latest breakthroughs in machine learning, including natural language processing capabilities, and is easily trained on the language of your domain. Unlike competitors, Watson Discovery can be deployed on any cloud or on-premises environment.

IBM

OpenText Legal Knowledge Management offers a comprehensive solution for effectively managing legal information, empowering professionals with streamlined access and enhanced decision-making capabilities.

This platform enhances information governance by centralizing legal data, enabling efficient retrieval and storage. It provides a collaborative environment that supports legal teams in managing case files and resources, facilitating seamless knowledge sharing. The integration capabilities ensure smooth workflows and elevate productivity standards for legal departments.

What are the key features of OpenText Legal Knowledge Management?

Centralized Repository: Securely store and manage legal documents in one location.
Collaboration Tools: Enhance team communication with shared access and editing capabilities.
Advanced Search: Quickly retrieve relevant documents and cases using powerful search functions.
Integration: Seamlessly connects with existing legal and business applications.

What benefits should users expect when evaluating OpenText Legal Knowledge Management?

Increased Efficiency: Streamlined processes that save valuable time.
Improved Decision-Making: Access comprehensive data for informed legal strategies.
Cost Reduction: Optimize resource use and reduce document handling costs.
Enhanced Team Collaboration: Facilitate better workflow with integrated communication.

OpenText Legal Knowledge Management is implemented across industries like finance and healthcare, providing expertise in accessing critical legal documents while ensuring compliance and regulatory standards are met. Its versatility allows adaptation to industry-specific requirements, making it a valuable tool for diverse legal environments.

OpenText

Sample Customers

Prudential, Bradesco, Woodside

Hyatt

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