Software Category

Legal Client Management

Software Reviews covers 1 products in the Legal Client Management market. Fast track your research by exploring our Data Quadrant, sorting the software, purchasing our Legal Client Management Category Report, or diving deeper into an individual product. Arm yourself with real data so you can make better decisions with more confidence.

Write Review Buy Category Report / $999 Buy Customer Experience Report / $999
Category Features
  • Account and Contact Management
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  • Activity and Workflow Management
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  • Analytics and Reporting
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  • Collaboration
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  • Customer Service Management
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  • Lead Management
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  • Marketing Management
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  • Mobile
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  • Quote Contract and Proposal
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  • Sales Management
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  • Telephony and Call Center Management

Data Quadrant

The software experience is shaped by both the software and the relationship with the vendor. By comparing vendors across both we provide a comprehensive understanding of the product and help identify vendors that can deliver on both.

Sample Report

Category Report

A thorough evaluation and ranking of all software in an individual category to compare software across every dimension.

  • User Satisfaction Rankings
  • Business Value Scores
  • Vendor Capability Comparisons
  • Individual Feature Evaluations
  • Emotional Connection to Products
Buy Now / $999

Sample Report

Customer Experience Report

A detailed and unique report across 5 emotional dimensions that capture a powerful indicator of overall user feeling toward the vendor and product.

  • Service Experience
  • Conflict Resolution
  • Negotiation and Contract
  • Strategy and Innovation
  • Product Impact
Buy Now / $999

LexisNexis Risk Solutions

LexisNexis InterAction

At every practice, the Customer Relationship Management (CRM) system should be an invaluable helper for professional users, administrative staff and business leaders alike. You'll find all the relationship intelligence insights you need in an InterAction solution.


Composite Score



Emotional Footprint



Likeliness to Recommend

to Recommend