Document Management

Ruby Datum

Est. 2016 United Kingdom Updated 2026-02-10
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Ruby Datum

Ruby Datum is a virtual data room (VDR) platform that uses machine learning to streamline secure document collaboration for M&A due diligence, insolvency proceedings, and corporate transactions. Features include templated folder structures, mobile-accessible data rooms, document analytics, and brandable client portals. UK-based (described as ‘nomadic startup’), led by Nick Watson (CEO, CLI Advisory Board member). Partnership with DealCloser for integrated M&A data rooms. Notable use: provided VDR services for King & Wood Mallesons insolvency administration. Raised equity investment via Crowdcube (Jan 2022). Featured in Artificial Lawyer (2017-2018), Maddyness (2023), and Legal Geek startup map. Listed in TLTF directory. Very small team (~5 employees, 499 LinkedIn followers, EV 10). Zero Reddit presence. Originally categorised as compliance-grc but is actually a document management/VDR platform.

Company Info

  • Founded: 2016
  • Team size: 1-10 employees
  • Funding: $268.4K
  • HQ: United Kingdom
  • Sector: Governance/Compliance/Risk Management

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, Ruby Datum is used in these workflows:

What practitioners struggle with

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

Banking partner closing a $500M syndicated loan has 200+ conditions precedent tracked in a shared spreadsheet — counterparty counsel, borrower's team, and three syndicate members each maintain their own version, nobody knows in real-time which CPs are satisfied, and the paralegal spends an entire day before every status call manually reconciling five different trackers

Communication & Collaboration 10 vendors affected Large firm (51–200) · Mid-size firm (11–50) · partner · associate

Fund formation partner closes a $200M fund with 40 LPs — each investor gets a 50-page subscription agreement that needs to be customized based on their entity type, tax status, and regulatory jurisdiction, and the paralegal spends 3 weeks chasing investors for correct signatures, missing pages, and illegible responses before the fund can actually close

Filing & Compliance 8 vendors affected Mid-size firm (11–50) · Large firm (51–200) · BigLaw (200+) · in-house-counsel

Mid-market M&A deal requires a data room to share 3,000 documents with counterparty counsel, but the incumbent VDR providers want $2,000/month minimum with a 12-month commitment — for a deal that closes in 8 weeks

Document Review & Management 13 vendors affected Mid-size firm (11–50) · Small firm (2–10) · In-house counsel · senior-associate

Corporate associate managing M&A due diligence needs to share 2,000 documents with the buyer's counsel in a structured data room — but the firm's general-purpose file sharing (SharePoint, Dropbox) has no granular permission controls, no audit trail of who viewed what, and no way to revoke access after the deal closes or falls through

Document Review & Management 13 vendors affected In-house counsel · Legal ops · Large firm (51–200) · Mid-size firm (11–50)

Where it fits in your workflow

Community Data

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