Bankruptcy Schedule & Means Test for E-Discovery Managers with Relativity

Run bankruptcy schedule & means test on autopilot inside Relativity.

Relativity E-Discovery Manager E-Discovery

The Problem

Chapter 7 and 13 schedules are 40+ pages of fiddly data entry for E-Discovery clients who rarely bring complete records on day one.

What We Build in Relativity

AI ingests client documents into Relativity, auto-populates schedules, runs the means test, flags inconsistencies, and drafts the creditor matrix — petition filed in days. Purpose-built for teams running Relativity — uses the native API or agent integration so nothing leaves the system of record.

Relativity Integration Approach

1

Audit your Relativity configuration

We map the specific Relativity objects, custom fields, and workflows the automation needs to touch for your e-discovery practice.

2

Build on the Relativity API or agent

Integration happens inside Relativity — no data leaves the system, no parallel tool for your team to learn, no license changes.

3

Human-in-the-loop handoff

Every automation routes exceptions back to a human in Relativity with enough context to act — AI handles the 80%, your team owns the judgment calls.

Frequently asked

Does this bankruptcy schedule & means test automation work natively in Relativity?+

Yes — we build directly on Relativity's API or agent integration. Your data stays in Relativity, your e-discovery managers keep the same login and UI, and there's no parallel system for the team to learn.

What Relativity configuration do we need before deployment?+

We work with your existing Relativity setup. During discovery we map the specific objects, custom fields, and workflows the automation touches — no rip-and-replace required for e-discovery teams.

Can Relativity handle bankruptcy schedule & means test on its own?+

Relativity handles configuration; AI handles judgment. Native Relativity workflows route deterministic tasks; our automation layer adds the AI judgment Relativity doesn't ship out of the box — document classification, exception triage, drafting.

Is Relativity the right tool for bankruptcy schedule & means test for e-discovery managers?+

Relativity is widely used among e-discovery teams precisely because of its data model around bankruptcy schedule & means test. We've deployed this workflow on Relativity for similar firms and the integration is well-trodden.

What's the typical ROI of bankruptcy schedule & means test automation in Relativity?+

For e-discovery firms running Relativity, automation typically pays back inside the first quarter — measured against the loaded cost of the e-discovery manager hours absorbed. Higher volumes deploy faster.

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See this running in your Relativity instance

30-minute call. We'll look at your actual Relativity setup and show exactly how this workflow fits.

More About This Workflow

Bankruptcy Schedule & Means Test for E-Discovery Managers

AI ingests client documents into Relativity, auto-populates schedules, runs the means test, flags inconsistencies, and drafts the creditor matrix — petition filed in days.

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