All evals
Manifest OS

Eval directory

Evals for Manifest OS

5 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Manifest OS AI products.

Legal AI
Use evals for Manifest OS

About Manifest OS

Manifest OS provides an AI-native operating model for its law-firm partners, combining a unified brand, centralized back-office services, and software for client communication, legal research, drafting, billing, and reporting.

Industry

Legal Technology / Law-Firm Operating Platform

80/ 100
BStrong coverage

How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.

Test datasets

5/5 packs

Scoring metrics

5/5 packs

Judge rubrics

5/5 packs

Use-case maps

0/5 packs

Pack context

5/5 packs

Test datasetsStrong100%
Scoring metricsStrong100%
Judge rubricsStrong100%
Use-case mapsLimited0%
Pack contextStrong100%

Available eval packs for Manifest OS

5 packs ready to run.

Why eval Manifest OS AI

Manifest OS's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Manifest OS measures four dimensions teams care about most when deploying legal ai agents:

  • Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
  • Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
  • Safety gates — does it escalate or refuse when it should, and only then?
  • Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Manifest OS's public product surface and runnable in Corsac with your own data.