This project is scheduled for launch
Launch date: Monday, August 10, 2026 at 08:00 AM UTC

Textimony is a specialized SaaS platform designed to transform thousands of text messages, emails, and other communication exports into organized, source-linked evidence for review. It leverages a deterministic machine-learning pipeline to classify behavioral signals, reconstruct chronology, and measure patterns, ensuring repeatable and auditable outputs.
This powerful tool is built for legal and professional evidence review, serving attorneys, investigators, behavioral professionals, and anyone requiring a structured, verifiable analysis of extensive communication records.
Textimony is invaluable for legal professionals handling cases that rely heavily on digital communication. Attorneys can efficiently identify and present evidence of harassment, threats, or custody interference, confident in the auditable nature of the analysis. The platform streamlines the process of sifting through vast message archives, allowing legal teams to focus on critical insights rather than manual data extraction.
Investigators can utilize Textimony to reconstruct complex communication timelines and uncover behavioral patterns in digital evidence. This capability significantly reduces the time and effort required to build a comprehensive understanding of events, providing a clear, source-linked narrative for their investigations.
Behavioral professionals and other experts can leverage Textimony to analyze communication for specific signals relevant to their field. The deterministic nature of the pipeline ensures that their findings are consistent and verifiable, supporting their professional assessments with robust, auditable data.
Textimony offers a tiered pricing model with one-time case purchases: Personal Organizer for $49, Personal Analysis for $149, and Professional Case for $599. For ongoing or firm-wide use, a Firm Workspace subscription is available at $999 per month, providing account-scoped access.
The platform features a structured five-stage review workflow, guiding users from import to report generation. Users are prompted to confirm participants and time handling, ensuring data accuracy. While Textimony automates initial classification, it emphasizes human decision-making, requiring reviewers to confirm records, read surrounding conversations, and make inclusion or dismissal decisions. The platform provides various report formats (PDF, CSV, JSON, manifest) for easy sharing and rebuilding based on reviewer decisions. Support information is available via a "Contact Textimony" option.
Textimony operates on a deterministic machine-learning pipeline. This pipeline employs a sequence of trained models, including an issue classifier for categorizing messages, embedding models for semantic retrieval, a cross-encoder for reranking candidates, and a span model to pinpoint exact words. Each analysis run is hashed with the dataset and analyzer configuration, guaranteeing identical outputs for identical inputs, thus ensuring auditability and reproducibility. It is explicitly stated that Textimony is not a chatbot or AI assistant, but rather a measurement and evidence-analysis workspace.
Textimony provides an indispensable, auditable solution for professionals needing to analyze and present digital communication as evidence. Its deterministic machine-learning approach ensures reliability and transparency, empowering users to efficiently extract actionable insights from vast datasets. Explore Textimony today to streamline your evidence review process.
Comments will be available once the project is launched.
Layne Weant
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