AI case study

MicrosoftLegal document review

Manual e-discovery review was slow and inconsistent. Now, AI automates the first pass, freeing attorneys to validate the reasoning.

Published|4 months ago

Key results

Annual Cost Savings
$1.6M
Human Match Rate
92%
Review Cost Reduction
45-60%

Result highlights

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The story

Context

A multinational technology corporation's litigation group manages massive e-discovery operations, historically relying heavily on contract attorneys and outside counsel for high-volume document review.

Challenge

Traditional first-level document review and privilege logging were notoriously slow and expensive. Relying solely on manual human review also yielded...

Solution
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Quotes

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The company

Microsoft logo

Microsoft

microsoft.com

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

The implementation partner

Role in this case study

Guided Microsoft through Relativity aiR adoption and ran validation tests on data sets.

IndustryProfessional Services
LocationSeattle, WA, USA
Employees1K-5K
Founded1995

The vendor

Relativity logo

Relativity

relativity.com

Legal data platform for e-discovery, investigations, and contract review.

IndustrySoftware & Platforms
LocationChicago, IL, USA
Employees1K-5K
Founded2001

Use case

Microsoft's Legal document review is part of this use case:

Legal Research
75 case studies(+100% YoY)
Proven impact?
LowModerateVery Strong
3.5Moderate
3.6Moderatewithin Legal & Compliance

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