The file pile has no shape
Attorneys and staff need to know what is in the bundle before they can decide what matters.
Source-cited evidence preparation
Juris-AI helps attorneys extract, organize, question, and package matter materials into a source-cited chronology, evidence index, key people and dates, contradiction cues, missing-evidence prompts, and attorney-review handoff packet.
Built for attorney review. Juris-AI does not give legal advice, predict outcomes, value claims, determine liability, or replace professional judgment.
The intake bottleneck
Intake materials rarely arrive as a neat litigation file. They arrive as PDFs, texts, screenshots, Word docs, photos, notes, audio, duplicate files, partial memories, and missing context. Juris-AI is focused on the first painful step: turning that fog into a source-cited review surface.
Attorneys and staff need to know what is in the bundle before they can decide what matters.
Dates, people, locations, and events are scattered across documents that were never meant to cooperate.
AI output is only useful if every important claim can be traced, challenged, and verified by counsel.
The narrowed product
Juris-AI is being built around a focused flow: upload a matter bundle, extract structured evidence, work through the case materials in a source-cited workbench, ask grounded factual questions, then generate an attorney-review packet.
Pull text from supported files, flag OCR or transcription limitations, preserve citations, and prepare the matter for review.
Surface chronology, evidence facts, key people, organizations, places, dates, open questions, and potential contradictions.
Drill from timeline events, Ask answers, and packet citations back to snippets, pages, extraction methods, and confidence cues.
Generate a source-cited handoff with verification checklist, extraction limitations, citation appendix, and packet metadata.
What the workbench produces
Events organized by date with citation-backed excerpts and attorney verification prompts.
People, documents, dates, places, issues, and events arranged into a reviewable structure.
Factual mismatches are framed as counsel-review prompts, not conclusions.
Policies, attachments, messages, recordings, or records mentioned by the bundle but not present.
Ask grounded questions about uploaded matter materials and get source-cited answers or safe refusals.
A draft attorney-review packet with citation appendix, limitations language, and metadata.
Pilot workflow
Start with a folder or ZIP of case materials. The pilot flow is designed around controlled, attorney-approved intake.
Extract supported text, identify structured evidence, and clearly flag OCR, transcription, or low-confidence gaps.
Inspect timeline, evidence, people, places, dates, missing items, contradictions, and cited answers in one place.
Produce a draft handoff packet that attorneys can verify, edit, annotate, and use to orient the next review step.
Built first for focused pilot signal
Juris-AI is being prepared for a controlled private pilot with attorneys who can judge whether a source-cited evidence workbench saves real intake and early-review time. The first release stays narrow on purpose.
Request early access for a founder-led demo and pilot conversation. The current public form is for contact information only. Please do not submit confidential case files, client names, privileged materials, or case documents here.
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