AI case study

FISCHER (FBC & Co.)Legal document review

Associates manually combed through data rooms. AI now scans files to flag risks, cutting M&A review time by over 80%.

Published

Key results

Review Time Reduction
>80%

Result highlights

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The story

Context

One of Israel's largest law firms with over 360 lawyers, handling complex transactions and precedent-setting litigation central to the country's legal and economic agenda.

Challenge

Lawyers devoted substantial time to foundational tasks like research and document review, limiting their capacity for strategic thinking and client...

Solution
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Quotes

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The company

FISCHER (FBC & Co.) logo

FISCHER (FBC & Co.)

fbclawyers.com

FISCHER is a law firm that specializes in providing legal services and consultations.

IndustryProfessional Services
LocationTel Aviv, Israel
Employees251-1K
Founded1958

The vendor

Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.

IndustryProfessional Services
LocationSan Francisco, California, United States
Employees251-1K
Founded2022

Use case

FISCHER (FBC & Co.)'s Legal document review is part of this use case:

Legal Research
80 case studies(+50% YoY)
Proven impact?
LowModerateVery Strong
3.4Moderate
3.2Moderatewithin Professional Services
3.5Moderatewithin Legal & Compliance

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