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What is Pre/Dicta?

Pre/Dicta emerges as the groundbreaking platform that utilizes data science to identify the elements of cases that impact their ultimate resolutions. Its distinguishing feature lies in the thorough examination of personal details of all federal judges, including their financial status, educational background, career trajectories, and political affiliations, which uncovers hidden patterns within their judicial behaviors. By leveraging these revelations, Pre/Dicta evaluates the effects of various data related to specific cases on a judge's rulings. For example, does the reputation or size of the law firms involved affect a judge’s perspective? Are judges more likely to show compassion towards individual plaintiffs? Is there a discernible bias towards publicly traded companies as opposed to private entities? By consistently analyzing millions of federal court rulings, Pre/Dicta uncovers essential characteristics of cases and assesses their impact on judges' decisions, with the goal of predicting whether a case will proceed to the discovery stage. The effectiveness of these predictions has been validated over a decade involving more than 1,500 federal judges, illustrating the platform's credibility in navigating intricate legal frameworks. Moreover, the ongoing enhancement of its analytical methods further bolsters its forecasting accuracy, rendering it an indispensable asset for legal professionals seeking to understand and anticipate judicial outcomes. Its innovative approach not only assists in legal strategy but also contributes to the broader understanding of justice dynamics.

What is Cognitive View?

A system is established to oversee conduct-related risks in real-time, promoting positive behaviors and improving the organizational atmosphere. This system is instrumental in managing customer interactions and effectively tackling issues such as churn and complaints. By automating compliance and implementing quality control measures, it brings to light areas where compliance is lacking and where knowledge may be insufficient. The Cognitive View feature plays a crucial role by capturing, securing, and transcribing audio from both new and existing communication channels, thus creating a neatly organized dataset of recorded conversations. Analyzing these conversations yields valuable insights into customer satisfaction and agent demeanor, allowing organizations to assess whether agents are courteous and empathetic. Furthermore, it evaluates emotional responses through conversational data, empowering businesses to scale their responses to customers effectively. This diligent monitoring of customer service interactions ensures that organizations can promptly and appropriately address customer needs, thereby enhancing overall service quality. In addition to these benefits, the system fosters a deeper understanding of customer sentiments and agent behaviors, ultimately contributing to a more effective and strategic approach to service delivery. By implementing such a comprehensive system, organizations can achieve continuous improvement and adapt to the evolving landscape of customer service.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Pre/Dicta

Company Location

United States

Company Website

www.pre-dicta.com

Company Facts

Organization Name

Cognitive View

Date Founded

2018

Company Location

Australia

Company Website

cognitiveview.com

Categories and Features

AI Legal

Not specified

Legal

Not specified

Categories and Features

Compliance

Not specified

RegTech

Not specified

Risk Management

Not specified

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