QuikData

QuikData: Features, Software Overview & Case Studies

Enterprise eDiscovery with true self-service workflows

DL Score 3 · Building
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eDiscoveryLegal AIDocument Management System

QuikData is an AI-powered, end-to-end eDiscovery platform covering processing, ECA, review, and production. It serves legal service providers, law firms, corporate legal teams, and government agencies, with deployment options spanning fully managed SaaS, on-premises, and private cloud.

Product

QuikData

Headquarters

United States

Last updated

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Overview

What QuikData does

The platform runs the full EDRM stages in one workspace, supporting TB/hr ingest, threading, near-dupes, concept clustering, redactions, and flexible productions. It is AI-agnostic, letting users bring their own OpenAI, Anthropic, Gemini, or local LLM with zero inference markup. An open REST API and direct MSSQL backend enable integration with systems like iManage, NetDocuments, Aderant, and Elite, supporting scales from single matters to petabyte-class portfolios.

What it does

QuikData core capabilities

Processing

Native ingest and structured data handling at scale, TB/hr.

ECA

Early case assessment built into the platform.

Review

Threading, near-dupes, concept clustering, advanced search.

Production

Bates numbering, redactions, and load file generation.

AI / TAR 2.0

BYO model — OpenAI, Anthropic, Gemini, local LLM, zero markup.

Redactions

Bulk, smart, auditable redactions for privilege, PII, FOIA.

QuikServer

On-premises deployment with air-gap capable data sovereignty.

QuikData SaaS

Fully managed hosting with simple per-GB pricing.

Quik Self-Service

DIY upload, search, review, and produce in minutes.

Open REST API

Automate cases, ingest, exports, and billing workflows.

Open MSSQL backend

Direct read access for custom tools and reporting.

Technical specifications

  • Open REST API
  • Open MSSQL backend
  • AI-agnostic: OpenAI, Anthropic, Gemini, Llama, Mistral, Local LLM
  • On-prem or SaaS deployment
  • Air-gap capable on-prem
  • TB/hr ingest
  • Integrations: iManage, NetDocuments, Aderant, Elite
  • SOC-aligned security with audit trails

Who it is for

Who QuikData is built for

Target audience

  • Large Law Firm
  • In-House Legal Teams
  • Chambers & Individual Lawyers

Team size

  • 11-50
  • 51-200
  • 201-500
  • 500+

Case studies

Verified customer results

There are not enough reviews for QuikData at DreamLegal. Try exploring different products for exploring case studies.

Trust & compliance

QuikData security at a glance

Security certifications

SOC-aligned securityFull audit trailsGranular permissionsAir-gap capable

Named enterprise customers

ADPCohen & GresserHooper LundyFenwick & WestFortis DataKeller Rohrback

Pricing details

QuikData pricing

Starting price

[Not Available]

Pricing model

Tiered/package-based

Free version

Not offered

Per-GB SaaS hosting and license-based on-prem, no hidden modules or markup.

Product videos & screenshots

See QuikData in action

Product interface

QuikData Interface

Comparisons

Popular QuikData comparisons

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Transparency

QuikData sources

Pages used to generate and verify this profile.

  1. 1https://www.quikdata.com

FAQs

Frequently asked questions about QuikData

QuikData is available as a fully managed SaaS platform with per-GB hosting, an on-premises deployment called QuikServer with air-gap capability and license-based unlimited data, and private cloud options for European and Asian service providers requiring local data sovereignty.

Yes. QuikData is AI-agnostic by design, letting users plug in enterprise OpenAI, Anthropic, Gemini, Llama, Mistral, or local LLM accounts. Users control the contract, retention terms, and spend, with QuikData taking zero inference markup. Local models support air-gapped and on-prem deployments.

QuikData serves legal service providers, law firms, corporate legal teams, and government agencies including public defender offices. It supports matters ranging from solo cases to petabyte-class portfolios, with the same interface and workflows across on-prem and SaaS deployments.

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