Veritas Technologies LLC

Nextdoor Co., Ltd

Aaron Webber

Daniel Joseph Clancy

Ryan Sims

Rishi Mukhopadhyay

Paul Howe

Nirav N Tolia

Sean Christopher Bromage

Morgan Hallmon

Kevin Liu

Daniel Masquelier

Paul Anthony Webb

Pavithra Selvaraj

Manish Sampat

A system and method for generating a recommendation counter for a business entity based on social networking interactions is provided. In an embodiment, a social networking server provides an interface for users of social networking accounts to request recommendations for business entities and to reply to the requests with recommendations. When the social networking server computer receives a recommendation for a particular business entity, the social networking server computer determines whether the recommending social networking account has recommended the particular business entity in the past. In response to determining that the social networking account has not recommended the particular business entity in the past, the social networking server computer increments a recommendation counter for the particular business entity.

Generating and displaying recommendation counters based on recommendation dialogue captured through a social network and constrained by geographic regions of the recommenders

A secure administration server sends legal hold information to a confirmation server in response to a delivery request. The legal hold information comprises a plurality of recipients required to comply with a legal hold notice. The secure administration server generates a unique email for each of the plurality of recipients. Each unique email comprises a unique Uniform Resource Locator (URL) to the confirmation server for a corresponding recipient. The secure administration server obtains a confirmation of compliance associated with the corresponding recipient from the confirmation server.

Method and system for managing and responding to legal hold notices

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San Francisco, CA, United States of America

Aaron Webber