Perjury

Est. 2023 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 Perjury

Perjury.ai is an AI-powered platform that analyzes legal documents to identify inconsistencies, contradictions, and potential perjury, thereby enhancing the integrity of legal proceedings. By leveraging advanced natural language processing algorithms, it streamlines the document review process, enabling legal professionals to build more robust cases efficiently.

Company Info

  • Founded: 2023
  • Team size: 1-10 employees
  • Funding: $187.0K
  • 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, Perjury is used in these workflows:

What practitioners struggle with

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

Litigation team building a case chronology across 50,000 documents, 30 depositions, and hundreds of exhibits does it in Excel or Word — no single platform connects facts, people, events, and evidence into a searchable timeline, so critical connections between a witness statement and a document are missed

Document Review & Management 23 vendors affected Large firm (51–200) · Solo practitioner · Small firm (2–10) · Mid-size firm (11–50)

Disputes partner receives a new complex commercial case with 200,000+ documents and needs to understand the factual landscape within a week to advise the client on strategy and costs — but the team can't even get through initial review in that timeframe, so the first case assessment is based on the client's narrative rather than the evidence

Document Review & Management 13 vendors affected BigLaw (200+) · large-firm · inhouse-enterprise · Mid-size firm (11–50)

Litigator preparing for cross-examination has 30 depositions and 200 exhibits spread across separate PDFs — toggling between documents in Adobe Acrobat or printing everything to paper, losing the connection between what a witness said on page 47 and the exhibit that contradicts it

Document Review & Management 16 vendors affected Solo practitioner · small-firm · mid-firm · Small firm (2–10)

Community Data

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