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Description
Lex Machina offers unparalleled analytic data that is not only accurate and complete but also transparent, featuring exclusive outcome analytics that are unique to the platform. The data is meticulously compiled, refined, and augmented through a distinctive blend of machine learning technology and the expertise of in-house legal professionals, with updates occurring every 24 hours. With Lex Machina’s Outcome Analytics™, users gain access to critical insights such as damages, findings, resolutions, and remedies, essential for grasping the nuances of a case and determining the winning party. Additionally, the innovative Case List Analyzer™ enables users to quickly locate cases similar to theirs, utilizing specialized practice-specific filters and tags for ease of access. This tool allows for the swift assembly of comprehensive case lists drawn from actual pleading documents. Furthermore, the platform's Quick Tools facilitate instant comparisons between judges, parties, or law firms and assist in crafting effective motions, exploring patent portfolios, and identifying expert witnesses, making it an invaluable resource for legal professionals seeking to strengthen their cases. Ultimately, Lex Machina empowers users to navigate complex legal landscapes efficiently and effectively.
Description
Pre/Dicta stands out as the pioneering platform that harnesses data science to pinpoint the features of cases that influence their final outcomes. What sets it apart is its comprehensive analysis of biographical details for all federal judges, such as their net worth, education, professional history, political leanings, and more, revealing the concealed trends in their judicial rulings. Utilizing these insights, Pre/Dicta assesses how various data points related to specific cases impact a judge's decisions. For instance, does the prominence or size of the law firms involved sway a judge’s opinion? Are judges generally more inclined to empathize with individual plaintiffs? Is there a tendency to favor publicly traded companies over those that are privately owned? Through its continuous examination of millions of federal court decisions, Pre/Dicta identifies critical case characteristics and evaluates their influence on judicial decisions, aiming to forecast whether a case will advance to the discovery phase. The validity of these predictions has been tested and confirmed across more than 1,500 federal judges over a decade, showcasing the platform’s reliability in navigating complex legal landscapes. The ongoing refinement of its analytical models further enhances its predictive capabilities, making it an invaluable resource in the legal field.
API Access
Has API
API Access
Has API
Integrations
Bridger Insight XG
Juris
Lexis
Nexis Data+
Nexis Diligence
Nexis Social Analytics
VerifyRX
Integrations
Bridger Insight XG
Juris
Lexis
Nexis Data+
Nexis Diligence
Nexis Social Analytics
VerifyRX
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
LexisNexis
Country
United States
Website
pages.lexmachina.com/Lexis-Analytics_LP---Lexis-Analytics.html
Vendor Details
Company Name
Pre/Dicta
Country
United States
Website
www.pre-dicta.com
Product Features
Legal Case Management
Billing Management
Calendar Management
Case Notes
Client Management
Communication Tracking
Conflict Management
Corporations
Court Management
Discovery Management
Docket Management
Document Management
Expense Tracking
Government
Law Firms
Records Management
Task Management
Time Tracking
Trust Accounting