yenklabs/dali-verification-taxonomy

Part of the Dali Open Evidence Ecosystem

Dali is an open evidentiary infrastructure project for AI-assisted legal workflows. Our open datasets, reproducible benchmarks, and verification methodologies help preserve evidence, improve reproducibility, and support defensible AI-assisted decision making across jurisdictions.

Dali Verification Taxonomy

Five verification outcomes used by Dali to classify whether evidence behind an AI output can be trusted.

Applies beyond legal citations: any domain where AI outputs must be verified, exchanged, and preserved.

Evidence failures are not binary. Link checkers return valid or broken. Verification requires classification that separates what broke from why it broke.

Purpose

The Dali Verification Taxonomy provides a standardized language for classifying verification outcomes during AI-assisted legal review.

It enables consistent reporting, reproducible evaluation, and comparable verification results across tools and organizations.

Outcomes

ID	Label	Detection stage
verified	Verified	existence_and_support
authority_not_found	Authority Not Found	existence
proposition_unsupported	Proposition Unsupported	support
source_trail_missing	Source Trail Missing	evidence_preservation
unverifiable	Unverifiable	evidence_preservation

Files

• outcomes.jsonl — one row per outcome for programmatic use (Dataset Viewer)
• meta/taxonomy.json — full taxonomy document

Engineering note

• Outcomes 2 and 3 require different detection pipelines
• Outcomes 4 and 5 are evidence preservation failures, not model failures
• Outcome 1 still requires a sealed bundle — correctness without provenance is not defensible

Intended Users

This project is designed for:

• Legal AI researchers
• AI evaluation platforms
• Law firms
• Legal technology companies
• Academic researchers
• Responsible AI practitioners
• Courts and public-interest organizations
• Open-source contributors

The Dali Open Evidence Ecosystem

Each project serves a different role while remaining independently useful.

Resource	Purpose
Dali Citation Benchmark	Evaluate legal AI verification performance
Dali Verification Taxonomy	Standardize verification outcomes
Dali Open Evidence Corpus	Preserve reproducible evidence artifacts
Dali Platform	Open-source evidence infrastructure
Dali Evaluation Prompts	Cross-jurisdiction evaluation resources (planned)
Dali Replay Corpus	Replay traces and policy-version hashes (planned)
Dali Evidence Artifacts	Portable evidence packages (planned)

GitHub

https://github.com/yenklabs/dali

Website

https://yenklabs.com

How Everything Fits Together

AI-Assisted Legal Work
            │
            ▼
Citation Benchmark
            │
            ▼
Verification Taxonomy
            │
            ▼
Open Evidence Corpus
            │
            ▼
Evidence Ledger
            │
            ▼
Evidence Infrastructure

The benchmark evaluates.

The taxonomy classifies.

The corpus preserves evidence.

The Evidence Ledger records immutable verification history.

Together they form Dali's open evidence infrastructure.

Current Project

• Open-source project
• Public reproducible benchmark
• Cross-jurisdiction support
• Open verification taxonomy
• Open evidence corpus
• CC BY 4.0 licensed datasets

Citation

If you use this dataset in research, benchmarking, or publications, please cite:

@dataset{dali_verification_taxonomy_v0_1,
  title        = {Dali Verification Taxonomy},
  author       = {{Dali Contributors}},
  organization = {GammaLex AI Inc.},
  year         = {2026},
  version      = {0.1},
  url          = {https://huggingface.co/datasets/yenklabs/dali-verification-taxonomy},
  note         = {Open taxonomy for classifying legal AI verification outcomes}
}

Future stable releases may include DOI-based citations.

Version History

Version	Description
v0.1	Initial public release
v0.2	Benchmark and documentation improvements
v1.0	Planned stable research release

Roadmap

Current

• ✓ Citation Benchmark
• ✓ Verification Taxonomy
• ✓ Dali Open Evidence Corpus
• ✓ Open-source verification platform

Planned

• Proposition verification
• Cross-jurisdiction expansion
• Community-contributed evidence
• Quarterly benchmark reports
• Evidence Ledger
• Evidence replay and reconstructability
• Dali Evaluation Prompts
• Dali Replay Corpus
• Dali Evidence Artifacts
• Research models (taxonomy classifier, citation risk, authority matching, proposition support)

Contributing

We welcome community contributions.

Areas where contributors can help include:

• Additional jurisdictions
• Verification methodologies
• Evidence artifacts
• Benchmark prompts
• Documentation improvements
• Dataset validation
• Research collaboration

GitHub

https://github.com/yenklabs/dali

Design Principles

The Dali ecosystem is built around:

• Reproducibility
• Transparency
• Independent verification
• Evidence preservation
• Human accountability
• Cross-jurisdiction support
• Open collaboration

Why Dali Exists

AI-assisted legal work increasingly requires more than model outputs.

Organizations need to understand:

• What the AI generated.
• What evidence was reviewed.
• What could be independently verified.
• What could not be verified.
• What changed during review.
• What humans ultimately decided.

Dali provides open benchmarks, verification methodologies, and evidence artifacts that make AI-assisted legal work more reproducible, transparent, and defensible.

Related resources

• Essay: yenklabs.com/notes/dali-five-verification-outcomes
• Open evidence corpus: huggingface.co/datasets/yenklabs/open-evidence-corpus
• Benchmark: yenklabs/dali-citation-benchmark
• EPS draft: yenklabs.com/artifacts/evidence-package-spec-v0.1
• Ecosystem: huggingface.co/yenklabs