The Origin
Built from a single civil litigation matter. AI-assisted document analysis delivered to retained counsel a parsed corpus of nearly 100,000 messages, 4,500 extracted 1:1 conversations, a mapped witness record, cross-referenced documentary chains, proactively flagged photographic evidence, and a fully developed evidentiary position. Across 8 working sessions.
Each matter begins with a structured intake and builds across sessions. A running context document carries forward what's been established, sharpens the next set of queries, and progressively narrows the record toward what is legally significant. That iterative discipline builds the true intelligence — it is the methodology, not a byproduct of it.
The attorney walked into the next meeting with everything organized. That's the proof of concept. And that's the founder's own case.
The Problem
The bottleneck in civil litigation isn't attorney skill — it's intake and pre-discovery preparation consuming billable time on work that is fundamentally pattern recognition across unstructured data. Communication exports go unreviewed. Photographs get cataloged but not analyzed. Timelines require cross-referencing across disparate file types. Evidentiary gaps are only visible in aggregate. The first several billable hours are often spent on work that a good process could handle before the attorney ever opens the file.
AI-Gents compresses that phase. Not by replacing attorneys — by delivering a prepared record before they start. Priced against the value of attorney time displaced, not hours worked.
The Methodology
Digital forensic document review, evidentiary organization, and media analysis for civil litigation.
- MessagingSMS/MMS, email, social media, phone records — keyword filtering, contact identification, timeline reconstruction, gap analysis
- DocumentsDeeds, contracts, loan documents, financials, change orders — cross-referenced into a coherent evidentiary narrative
- Visual MediaPhotographs analyzed for content, context, and relevance; metadata interrogated; observations surfaced proactively
- WitnessesIdentified from the documentary record, roles assessed, contact priority flagged
- TimelinesDate-anchored event sequences across all document types; inconsistencies surfaced
- SettlementLeverage points identified, structural impossibilities in opposing claims mapped
All output is factual in presentation. No legal conclusions, no advisory language, no interpretation. The attorney draws the inference. AI-Gents lays the record.
Delivery
| Tier | Method |
|---|---|
| Cloud | API-based processing + encrypted delivery Subject to third-party platform data retention policies. |
| Hybrid | Cloud processing, encrypted local output |
| Air-Gapped | Local inference, USB or physical handoff — no external data exposure |
- Post-retainer and attorney-directed — output is privilege-eligible on adoption
- Governed by a Statement of Work with scope fixed at intake
- All client data returned or destroyed on completion — nothing persists beyond the matter
- One-year conflict restriction following matter resolution — no opposing engagements within that window
Begin Intake
Card image is processed and discarded. Nothing is stored.