# Casarc

*/Startups/Casarc*

## Startup Overview

Litigation teams use this software to extract evidentiary timelines directly from unstructured discovery data. Instead of manually parsing emails, depositions, and exhibits, attorneys upload raw case files and receive a chronologically ordered sequence of events.

Traditional e-discovery platforms like Relativity and Everlaw require legal teams to perform exhaustive keyword searches and rely on manual paralegal review to piece together a narrative. This solution bypasses manual search by automatically structuring the timeline and hard-linking every extracted event directly to its source evidence. Attorneys click any date or fact in the chronology to instantly view the exact paragraph in the original document.

Rather than charging recurring user licenses or per-gigabyte data hosting fees, the service is billed entirely per completed timeline. This aligns costs directly with the delivered work product, providing ready-to-use case chronologies that accelerate trial preparation without the unpredictable overhead of legacy discovery software.

## Startup Founding Hypothesis

**Approach**: that extracts evidentiary timelines from unstructured discovery data
**Competitors**:
- [Relativity](/Competitors/Relativity)
- [Everlaw](/Competitors/Everlaw)
- [Manual Paralegal Review](/Competitors/Manual_Paralegal_Review)
**Differentiator2x2**: billed per completed timeline and structurally linked to source evidence

## Startup Solution Coordinate

**Solution**: [Timeline Extraction Service](/Services/Timeline_Extraction_Service)

## Startup Position2x2

```mermaid
quadrantChart
    title Market Positioning: Pricing Model vs Traceability
    x-axis "Traditional Seat/GB Pricing" --> "Per-Timeline Pricing"
    y-axis "Manual Evidence Linking" --> "Structural Source Linking"
    quadrant-1 "Outcome & Traceable"
    quadrant-2 "Platform & Traceable"
    quadrant-3 "Legacy / Manual"
    quadrant-4 "Ad-Hoc / Service"
    Relativity: [0.15, 0.65]
    Everlaw: [0.25, 0.75]
    Manual Paralegal Review: [0.45, 0.15]
    Casarc: [0.85, 0.85]
```

## Startup Customer Journey

```mermaid
flowchart LR; A[Relativity App Hub] --> B[Timeline Extractor API]; B --> C[Cited Discovery Timeline]; C --> D[Native Load File]; D --> E[Master eDiscovery Workflow]; E --> F[Autonomous Legal Agent];
```

## Startup Proof Points

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**Pilot Goals**:
- 14-day single matter pilot processing up to 10GB of unstructured data to prove timeline generation reduces manual drafting time by at least 90 percent
- 30-day complex litigation pilot processing 50GB of multi-party discovery data to validate 100 percent source-link accuracy and successful Everlaw native integration
**Target Metrics**:
- Target: 38 paralegal hours saved per initial timeline construction
- Target: 100 percent citation accuracy across unstructured email and PDF discovery sets
- Aim: 0 unverified legal facts due to direct structural links to source excerpts
**Target Case Studies**:
- Boutique litigation firm reduces initial timeline construction from 40 paralegal hours to under 2 hours for a 10GB unstructured data set
- AmLaw 200 eDiscovery partner replaces manual chronology drafting in complex multi-party discovery with direct Everlaw imports
**Testimonial Targets**:
- Litigation Partner expressing confidence that every timeline node is structurally tethered to a source excerpt rather than relying on blind trust
- Managing Paralegal praising the immediate usability of native load files imported directly into existing Relativity workspaces
- Firm Billing Director confirming the seamless pass-through of the per-timeline usage fee as a standard e-discovery client expense

## Startup Top Risks

**Risks**:
- Severity: existential · Description: Incumbents like Relativity or Everlaw release native automated timeline generation tools within their existing discovery suites, neutralizing the standalone value proposition. · Mitigation Status: unmitigated
- Severity: high · Description: Law firms refuse adoption because courts penalize AI-generated evidence summaries, requiring manual verification that negates the time savings. · Mitigation Status: in-progress
- Severity: moderate · Description: The per-timeline billing model faces resistance from law firms incentivized to maximize billable hours rather than fixed-cost efficiency. · Mitigation Status: in-progress
- Severity: moderate · Description: Data ingestion pipelines fail to reliably parse OCR-degraded scanned PDFs and non-standard proprietary file types common in historical corporate litigation. · Mitigation Status: unmitigated

## Startup Competitors

- [Relativity](/Competitors/Relativity) — Incumbent
- [Everlaw](/Competitors/Everlaw) — Incumbent
- [Manual Paralegal Review](/Competitors/Manual_Paralegal_Review) — Status Quo
- [CS Disco](/Competitors/CS_Disco) — eDiscovery Platform
- [Opus 2](/Competitors/Opus_2) — Case Preparation Suite

## Startup Token Hero

**Genre**: founding-hypothesis
**Rendered**: What if your discovery data wrote its own chronology? Casarc extracts source-linked case timelines from unstructured files, turning weeks of paralegal review into two hours of verified strategy.
**Mechanism**: spine-derived-v1
**Template Id**: spine-founding-hypothesis
**Vocab Fingerprint**: 51d588c4ef3d79cd

## Startup Token Positioning

**Genre**: moore-positioning
**Rendered**: Evidence extraction for litigation teams for litigation leads at mid-market and enterprise firms. Unlike manual paralegal review — receive a verified chronological narrative with one-click source citations.
**Mechanism**: spine-derived-v1
**Template Id**: spine-moore-positioning
**Vocab Fingerprint**: 82e67c81e49aae62

## Startup Token Pitch Deck

**Genre**: pitch-deck
**Rendered**: Problem: Litigation teams spend forty paralegal hours manually parsing emails and PDFs in Relativity to piece together a chronological sequence of events.
Solution: What if your discovery data wrote its own chronology? Casarc extracts source-linked case timelines from unstructured files, turning weeks of paralegal review into two hours of verified strategy.
Customer: litigation leads at mid-market and enterprise firms
Unlike: manual paralegal review
**Mechanism**: spine-derived-v1
**Template Id**: spine-pitch-deck
**Vocab Fingerprint**: 8a10aa4072264d5e

## Startup Token M E D D P I C C

**Pain**: Litigation teams spend forty paralegal hours manually parsing emails and PDFs in Relativity to piece together a chronological sequence of events.
**Metrics**: Target: The entire case narrative is structured and cited in under two hours, allowing you to focus on legal strategy instead of data entry.
**Rendered**: Pain: Litigation teams spend forty paralegal hours manually parsing emails and PDFs in Relativity to piece together a chronological sequence of events.
Economic buyer: Litigation Partner
Metrics: Target: The entire case narrative is structured and cited in under two hours, allowing you to focus on legal strategy instead of data entry.
Competition: manual paralegal review
**Mechanism**: spine-derived-v1
**Competition**: manual paralegal review
**Economic Buyer**: Litigation Partner
**Vocab Fingerprint**: 030f1ef696baa8b1

## Startup Token Cold Email

**Genre**: cold-email
**Rendered**: Subject: Evidence extraction for litigation teams for litigation leads at mid-market and enterprise firms

litigation leads at mid-market and enterprise firms — Litigation teams spend forty paralegal hours manually parsing emails and PDFs in Relativity to piece together a chronological sequence of events. What if your discovery data wrote its own chronology? Casarc extracts source-linked case timelines from unstructured files, turning weeks of paralegal review into two hours of verified strategy.
**Mechanism**: spine-derived-v1
**Template Id**: spine-cold-email
**Vocab Fingerprint**: 8010aee7be419436

## Startup Token Agent Spec

**Genre**: ai-agent-spec
**Rendered**: Evidence extraction for litigation teams. What if your discovery data wrote its own chronology? Casarc extracts source-linked case timelines from unstructured files, turning weeks of paralegal review into two hours of verified strategy. Serves litigation leads at mid-market and enterprise firms.
**Mechanism**: spine-derived-v1
**Template Id**: spine-ai-agent-spec
**Vocab Fingerprint**: b00010336836c447

## Neighborhood

### Candidate solutions

- [Demonstrate Virtual CFO Value](/Problems/Demonstrate_Virtual_CFO_Value) — candidate solution for · Problems

### Composed of

- [Evidence Timeline Service](/Services/Evidence_Timeline_Service) — composes · Services
- [Fact Chronology Agent](/Agents/Fact_Chronology_Agent) — composes · Agents
- [Source Linking Worker](/Agents/Source_Linking_Worker) — composes · Agents
- [Discovery Parsing Engine](/Agents/Discovery_Parsing_Engine) — composes · Agents
- [Evidence Indexing API](/Agents/Evidence_Indexing_API) — composes · Agents

### What it offers

- [Timeline Extraction Service](/Services/Timeline_Extraction_Service) — offers · Services

### Competitors

- [CS Disco](/Competitors/CS_Disco) — competes with · Competitors
- [Opus 2](/Competitors/Opus_2) — competes with · Competitors
- [Relativity](/Competitors/Relativity) — competes with · Competitors
- [Everlaw](/Competitors/Everlaw) — competes with · Competitors
- [Manual Paralegal Review](/Competitors/Manual_Paralegal_Review) — competes with · Competitors

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

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