Contract Lifecycle

Virtualterms

Est. 2022 United States Updated 2026-02-10
ai
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Virtualterms

Cloud-based platform for creating, reviewing, and signing B2B agreements, particularly NDAs. Aims to streamline legal agreements with standardized, plain-language terms. Features: agreement generation, e-signatures, real-time tracking, AI Assistant. Free NDA offering. Based in Dallas, TX. Founded 2017, unfunded (Tracxn). 3 employees, 199 LinkedIn followers. Desktop app available (Mac/Windows). Focuses on making legal agreements ‘so simple you could do them on your phone.‘

Company Info

  • Founded: 2022
  • Team size: 1-10 employees
  • HQ: United States
  • Sector: Document Management & Storage

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

Workflows

Based on practitioner evidence, Virtualterms is used in these workflows:

What practitioners struggle with

Real frustrations from legal professionals — the problems Virtualterms addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.

NDAs and routine contracts take 3-7 days because every single one routes through legal — no self-service for standard terms

Document Drafting & Automation 120 vendors affected In-house counsel · Legal ops · Small firm (2–10) · Mid-size firm (11–50)

Innovation team at a large company wants startups to sign a standard NDA so the project can start, but the startup founders do not have in-house counsel and hesitate because the contract feels one-sided and hard to understand. The deal slows down before the collaboration even begins.

Document Drafting & Automation 4 vendors affected In-house counsel · Legal ops · business

Where it fits in your workflow

Community Data

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