Paralegal Genie

Paralegal Genie

paralegalgenie.com

staffing & recruiting

Northampton, Massachusetts, United States
1-10 employees
17 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

Python signals data science, ML, or automation workflows. Data platforms, MLOps tools, and cloud compute solutions are strong fits for outreach.

Paralegal Genie's Position in the StackWho Database

  • Paralegal Genie is 1 of 27,583 staffing & recruiting companies tracked in StackWho.
  • 27,572 staffing & recruiting companies in our database have verified decision-maker emails (100% of the cohort).
  • 10,409 companies in Massachusetts are in the StackWho database.
  • 18,718 staffing & recruiting companies are in the 1-10 employee range (same size as Paralegal Genie).

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.

Frequently Asked Questions

What technology does Paralegal Genie use?

Paralegal Genie uses Google Cloud Hosting, Outlook, Microsoft Office 365, Gmail, Google Apps, Instantly, and 11 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Paralegal Genie?

StackWho has verified email addresses for 1 decision maker at Paralegal Genie. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Paralegal Genie directly for sales, recruiting, or partnerships.

What industry is Paralegal Genie in?

Paralegal Genie operates in the staffing & recruiting industry, headquartered in Northampton, Massachusetts, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Paralegal Genie's contact data?

Yes. StackWho Pro members can export decision maker contact data for Paralegal Genie and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.