What entered the workflow?
Sensitive information moves across AI systems with no intake record and no chain of custody.
Evidence that survives beyond the AI session.
Dali preserves citation review, findings, and three-hash lineage so AI-assisted legal work can be reconstructed long after the session ends.
Preservation status
Three hashes, three verifier questions — input integrity, reproducibility, and run seal.
- corpus_record_hash
sha256:c91e…4b2a
Proves input integrity
- replay_hash
sha256:7d03…a1f8
Proves verdict reproducibility
- evidence_hash
sha256:a4f2…9c1e
Proves a specific run happened
Enterprises are running AI workflows they cannot explain, reproduce, or defend.
Where did it propagate?
Enterprises have no way to trace what moved across agents, plugins, APIs, and downstream systems.
Could it be verified in a legal proceeding?
AI systems produce no reconstructable evidence record and no way to verify it.
Evidence infrastructure for AI systems
Reconstructable
by design
Independently timestamped
Evidence records verified through trusted external timestamp services.
Reproducible findings
Same inputs, same policy version, same findings. Every time.
Cross-system coverage
Processes activity across MCPs, APIs, uploads, plugins,generated filings, review chains, and downstream systems.
The AI session disappears.
The consequences usually do not.As AI becomes embedded across documents, filings, reviews, and internal systems, organizations increasingly need reliable ways to understand what happened inside those interactions after the fact.