Early Case Assessment
Law Firms
Early Case Assessment
Gain insights rapidly to develop a winning strategy
In the time it takes other technologies to tally how many documents you have, Nuix software allows you to answer key questions, spot notable case trends, understand the risks, and prepare for depositions or the courtroom.
YOUR CHALLENGE
You know how it goes—a client drops you a drive full of data and expects you to determine the risks and potential liabilities … yesterday. You need to be experts in the law and technology to provide rapid, accurate answers.
OUR SOLUTION
Forget one-dimensional keyword searches and hit counts! With Nuix you can use multidimensional visual analysis of social networks, concepts, custodians, and critical data points to quickly develop a winning case strategy.
BENEFITS
UNCOVER RISKS AND
MINIMIZE COSTS
Rapidly and cost-effectively reveal the key facts, hot documents, and potential liabilities to determine the most effective case strategy.
Determine who
knew what when
Use social network analytics to reveal communication patterns between people and organizations and quickly identify the key custodians and what they knew.
Identify
inconsistencies
Highlight gaps in your data collection or a production from the other side—are you missing data from key custodians, a critical timeframe, or a specific topic?
FEATURES
Cut
THE CRUD
Harness predictive coding to rapidly narrow the data set to the most responsive and relevant documents.
SMARTER
DOCUMENT REVIEW
Use the latest in technology-assisted review to prioritize the right documents and provide coding hints.
REAL-TIME
UPDATES
Monitor the progress of each early case assessment underway with an easy-to-read dashboard.
Efficient
POST-PRODUCTION
Streamline post-production with a suite of tools including transcripts, linking, and mobile binders.
ANALYTICS AT
EVERY PHASE
Leverage integrated interactive analysis tools including keyword search analysis, data mining, and concept clustering.
VISUAL
QUALITY CONTROL
Reveal coding inconsistencies by showing disparate coding decisions on similar or related documents.
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