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IBM Watson Discovery vs OpenText Legal Knowledge Management comparison

IBM and OpenText are both solutions in the Indexing and Search category. IBM is ranked #5, while OpenText is ranked #18. IBM holds a 4.8% mindshare in IS, compared to OpenText’s 0.4% 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
  • 495 Views
  • 121 Comparison Views
100% willing to recommend
OpenText Legal Knowledge Ma...
Read 1 OpenText Legal Knowledge Management review
  • 87 Views
  • 13 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 19, 2025

OpenText Legal Knowledge Management and IBM Watson Discovery compete in information management. IBM Watson Discovery appears to have the advantage due to its feature-rich capabilities, providing substantial value despite higher costs.

Features: OpenText is tailored for legal environments with strengths in document management, collaboration, and legal workflow optimization. IBM Watson features advanced AI-driven insights, extensive natural language processing, and comprehensive data analysis suitable for diverse business tasks.

Ease of Deployment and Customer Service: OpenText offers an easy deployment process with strong support, tailored for legal industry workflows. IBM Watson provides cloud-based deployment that is flexible and scalable, catering to a broad range of enterprise needs.

Pricing and ROI: OpenText offers competitive initial costs and significant ROI in its niche. IBM Watson's higher setup cost is offset by its versatile features, which can lead to higher returns for businesses seeking comprehensive analysis tools.

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Indexing and Search
June 2025
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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
5th
Average Rating
7.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
OpenText Legal Knowledge Ma...
Ranking in Indexing and Search
18th
Average Rating
10.0
Reviews Sentiment
6.5
Number of Reviews
1
Ranking in other categories
Knowledge Management Software (31st)
 

Mindshare comparison

As of June 2025, in the Indexing and Search category, the mindshare of IBM Watson Discovery is 4.8%, up from 4.8% compared to the previous year. The mindshare of OpenText Legal Knowledge Management is 0.4%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

Featured Reviews

Geraldo Lima - PeerSpot reviewer
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 - PeerSpot reviewer
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

"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."
"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 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."
"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."
"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."
"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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Top Industries

By visitors reading reviews
Computer Software Company
34%
Government
11%
University
9%
Financial Services Firm
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Comparisons

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Elastic Search vs IBM Watson Discovery
Compared 56% of the time
Microsoft FAST vs IBM Watson Discovery Logo
Microsoft FAST vs IBM Watson Discovery
Compared 44% of the time
More IBM Watson Discovery Competitors
No data available
 

Product Reports

Buyer's Guide
Indexing and Search
June 2025
IBM Watson Discovery reportDownload IBM Watson Discovery product report
Buyer's Guide
Indexing and Search
June 2025
OpenText Legal Knowledge Management reportDownload OpenText Legal Knowledge Management product report
 

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
Buyer's Guide
Indexing and Search
June 2025
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