Catalog record · Cybersecurity
Stage as of Mar 24, 2026 · historical report, not live reconfirmation.
Layered contract review for cyber-incident notice obligations
Vendor workflow source. A reviewed supplier account names the customer and workflow. Supplier attribution and deployment claims are not independent outcome validation.
Last researched Oct 29, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
A 26,000-contract incident review combined search culling, repeated GenAI classifications, human validation and traditional predictive coding trained from reviewed labels. The vendor reports sampled recall improving from 92% to 98.2%.
- Reported stage
- Production
- Technology
- GenAI/LLM
- Business function
- Not assessed
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 29, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Production engagement completed by vendor case study dated 2026-03-24; exact engagement date not disclosed. Status as of 2026-03-24.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Public case study omits confidence interval, sample sizes and full adjudication protocol. Human validation was required at every layer; repeated AI passes alone were insufficient for the desired recall. Recall is estimated through sampling, not proof that no obligation was missed. Contract versions, privilege, governing law and notice deadline interpretation remain domain work.
Potential FS application · inferred
Inference: identify notification/covenant duties after cyber events, corporate changes or third-party failures. Missing capability: test the excluded/negative document population and use complementary models to recover unusual clauses.
Inference: identify notification/covenant duties after cyber events, corporate changes or third-party failures. Missing capability: test the excluded/negative document population and use complementary models to recover unusual clauses.
Original industry: Legal services. Transfer limits: Recall is estimated through sampling, not proof that no obligation was missed. Contract versions, privilege, governing law and notice deadline interpretation remain domain work.
Source register
- How Dinsmore & Shohl Engineered a 98.2% Recall Rate in High-Stakes Cyber Contract Review Using Everlaweverlaw.com · opens in a new tab
Everlaw · vendor-case · full-text · Published 2026-03-24
Research lanes: healthcare_legal_transfer · Batch global-discovery-2026-10-29. Coverage and remaining gaps