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Standd

Est. 2022 United States 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 Standd

AI-native diligence and deal-analysis platform with roots in legal search and a current focus on due diligence, red-flag reporting, virtual data room organization, and investment/deal deliverables. Standd’s legal relevance is clearest in M&A and financing workflows: Legaltech Hub describes it as a secure collaborative virtual data room with generative AI that can create and fill diligence checklists, organize and classify documents, search deal materials, and generate red-flag reports, memos, decks, and charts. Technical.ly’s March 9, 2023 profile framed Standd as a lawyer-founded startup solving non-billable search and knowledge-friction inside firms, with DC law firm pilots and a 40-firm waitlist after Techstars Seattle. The current vendor site has broadened into a higher-stakes decision platform for strategy and finance teams, which means it is no longer purely law-firm software, but the diligence workflow remains directly relevant to corporate legal teams and deal counsel. Pricing is not public. Funding signals are inconsistent across public databases but clearly early-stage and subscale relative to established diligence platforms. Security claims are too thin for comfort: public materials reference a secure collaborative data room, but no SOC 2, ISO 27001, data-residency, or admin-control documentation was found.

Company Info

  • Founded: 2022
  • Team size: 1-10 employees
  • Funding: $250K
  • HQ: United States
  • Sector: Gen, AI

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.

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