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Paralegal - eDiscovery & Legal Technology

Remote / Online - Candidates ideally in
Lenexa, Johnson County, Kansas, 66215, USA
Listing for: Kiewit
Full Time, Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • Law/Legal
    Paralegal, Litigation, Legal Counsel
Salary/Wage Range or Industry Benchmark: 70000 - 120000 USD Yearly USD 70000.00 120000.00 YEAR
Job Description & How to Apply Below

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Paralegal - eDiscovery & Legal Technology

Location:

Lenexa, KS, US, Omaha, NE, US

Requisition :182299

Job Level:Mid Level

Home District/Group:DHO Legal Strategic Resolutions Group

Department:Legal

Market:Corporate Home Office

Employment Type:Full Time

Position Overview

Kiewit is seeking an experienced Paralegal - eDiscovery & Legal Technology to join its Legal Department and support complex litigation, claims, investigations, and other legal matters involving electronically stored information (ESI). This individual will combine traditional litigation paralegal responsibilities with hands‑on eDiscovery and legal technology expertise, partnering closely with Kiewit attorneys, other paralegals, Kiewit Technology Group (KTG), outside counsel, and vendors.
This role will support matters throughout the discovery lifecycle, including data ingestion and validation, early case assessment, search and analytics, document review, quality control, and production. The position will serve as a key administrator and advanced user of Kiewit's eDiscovery platform, currently Everlaw, and will help establish consistent, efficient, and defensible discovery practices.
The ideal candidate brings a strong understanding of litigation and discovery, enjoys working with data and technology, and is interested in helping Kiewit expand its use of analytics, artificial intelligence, and emerging legal technologies. This is a hands‑on individual‑contributor role requiring a strong understanding of litigation and eDiscovery processes combined with practical experience using modern eDiscovery technology.
What Makes This Opportunity Unique
This role will support significant, high‑stakes litigation and claims associated with some of Kiewit's largest and most complex projects. The Legal Department is also actively expanding its use of eDiscovery technology, data analytics, artificial intelligence, and internally developed tools.
The person joining the team will have an opportunity not only to support current projects, but also to help shape how Kiewit approaches discovery and legal technology going forward – developing processes, establishing protocols, partnering with technology teams, and helping evaluate and implement new capabilities as they emerge.

Location

This is a hybrid role based in Omaha or Kansas City, requiring regular in‑office presence and reliable availability and responsiveness during business hours.

Responsibilities
  • Support complex litigation, claims, investigations, and other legal matters throughout the discovery lifecycle, including preservation, collection, ingestion, processing, early case assessment, review, analysis, production, and matter closeout.
  • Respond to subpoenas and discovery requests by identifying, reviewing, gathering, preserving, and analyzing relevant electronic and physical records.
  • Partner with attorneys and other paralegals to understand matter strategy and translate legal objectives into practical and defensible eDiscovery workflows.
  • Administer eDiscovery matters within Everlaw or comparable platforms, including project configuration, users and permissions, coding structures, searches, analytics, review workflows, reporting, and related functionality.
  • Coordinate electronic data collection from enterprise systems including Microsoft 365, SharePoint, One Drive, Teams, Exchange/Outlook, and other information sources.
  • Partner with KTG, outside counsel, vendors, and platform support to obtain data, troubleshoot technical issues, and resolve collection or workflow challenges.
  • Develop and execute search, filtering, deduplication, email threading, analytics, technology‑assisted review (TAR), predictive coding, and…
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