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Challenge

Build a CrewAI DPI Digital Signature & Legal Contract Verifier

Digital contracts in public public infrastructure platforms require verification against legal execution standards and electronic signature ledgers. Build a multi-agent CrewAI system that inspects contract clauses, verifies signer authorization, and detects fraud risks with 95% accuracy.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop a CrewAI legal verification crew with Document Inspector and Ledger Verifier agents to audit electronic contracts.

Delivery guide

How work is evaluated

Evaluation

Evaluates signature verification precision and illegal clause detection accuracy.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

signature_check

Verifies e-signature validity check flag

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

verification_accuracy

Precision of contract compliance assessment • target: 0.95 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Deploy specialized CrewAI Agents for Legal Analyst and e-Signature Auditor roles

  • Extract contractual terms and verify digital signature certificates

  • Flag execution irregularities and missing legal consent clauses

  • Generate authoritative legal contract validation reports

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic digital contract texts and electronic signature hashes.

Challenge setup

Evaluates signature verification precision and illegal clause detection accuracy.

Challenge input

JSON contract payload with signature hash and text

CrewAI

Collaborative agent crew framework

Evaluated output

JSON verification status with signature_valid and risks_flagged

Evaluation checks
  • Verifies e-signature validity check flag
  • Precision of contract compliance assessment • target: 0.95 • range: 0-1
Configured evaluation evidence
  • Benchmark: Legal Tech Agent Benchmark
  • Verification Accuracy target: 0.95
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • CrewAI · Required
  • crewAI · Optional
  • All Hands AI · Optional

Evaluation contract

  • signature_check · Weight 1
  • verification_accuracy · Weight 1

Metrics

  • verification_accuracy · Target 0.95

Benchmarks

  • Legal Tech Agent Benchmark
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON contract payload with signature hash and text

    Output: JSON verification status with signature_valid and risks_flagged

    Execution harness: Python

Evaluation tools

  • CrewAI · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a CrewAI DPI Digital Signature & Legal Contract Verifier