> PythAI for Document Review

PythAI for Document Review

Gemean’s PythAI for Document Review is a custom Generative AI solution that can solve your most significant litigation and investigation document review challenges. Our tested PythAI workflow can provide meaningful cost and time savings compared to traditional document review methodologies.

AI-Powered Review

PythAI Insights is fully customizable and offers virtually unlimited options for relevance review, issue identification, privilege review, and document summaries. Project results and outputs can be integrated into any eDiscovery platform. 

Gemean’s expert consultants work hand-in-hand with your litigators and subject matter experts to define case objectives and develop defensible, insightful case strategies and prompts. PythAI leverages the most updated generative AI large language models (LLMs) to rapidly deliver results.

PythAI Rog…

PythAI runs in a secure environment, and is managed by Gemean’s expert consultants.

How We Work
How We Work

Example Use Cases

01
Review Case
First level review of large document sets
02
Insight Investigation
Early case insights for
litigation and investigation matter
03
Quality control
Quality control for document review
04
Analysis document
Analysis of opposing
document productions

PythAI Workflow

How We Work

Example Use Cases

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01
Review Case
First level review of large document sets
02
Insight Investigation
Early case insights for
litigation and investigation matter
03
Quality control
Quality control for document review
04
Analysis document
Analysis of opposing
document productions
How We Work

Privacy

Secure and Isolated Environment
Data stays within a secure, private, dedicated environment, separate from public AI services.
Restricted Access to Data
Access to data is limited and restricted to appropriate project team personnel.
Data is Never Used for Training
Documents are analyzed and immediately forgotten. Information is never retained or used to train models, ensuring data remains confidential.
How We Work

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