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About

The cost of commercial tort litigation against the business (where benefits paid = losses + defense attorney fees + administrative costs, e.g., gathering documents, meeting with counsel, sitting for depositions, etc.) was about $160 billion per year. For the 10-year period, the total was almost $1.6 trillion. To train a deep learning model of the federal court’s category of civil rights-employment, i.e., “employment discrimination,” we extracted allegations of fact from 400 complaints filed in federal court (no emails). We put the employment discrimination model in a GPU instance in Microsoft Azure and AWS and tested it with 20,401 emails from the Enron. The model had not previously assessed any emails. You can export each true positive email to an internal investigation or case management platform. And, because there’s a database hooked to the UI, you can save those true positives, then add them to the initial training set and re-train the model.

About

Learned Hand is a web-based judicial case-preparation platform for judges, court clerks, and staff attorneys. It helps court teams review motion filings by extracting case facts, organizing disputed issues and arguments, and structuring analysis according to motion type, local rules, and jurisdiction-specific procedures. Users can upload case materials or connect to a court case-management system, inspect analysis with citations linked to supporting portions of the record, ask questions, and refine the work. The platform can produce an initial draft order with citations intact, which users may edit in the platform or export to Word. Its stated workflow covers case intake, motion analysis, source verification, and preparation of draft judicial documents. Learned Hand is designed for court and judicial workflows rather than law-firm advocacy; final review and decision-making remain with court personnel.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies and law professionals seeking a deep learning solution to manage employee discrimination cases

Audience

Judges, court clerks, and court staff attorneys involved in reviewing motions and preparing judicial documents.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Intraspexion
Founded: 2016
United States
intraspexion.com/mvp

Company Information

Clio
www.learned-hand.ai/

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Categories

AI Legal Supported
Legal Supported

Categories

AI Legal Supported
Court Management Supported

Integrations

No info available.

Integrations

No info available.
Claim Intraspexion and update features and information
Claim Intraspexion and update features and information
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Claim Learned Hand and update features and information