Independent prototype · Illustrative analytics and AI outputs; verify against matter data and protocol.
MER-2026-014 / early case assessment
Analytics & AI
Explore patterns across the collection, prioritize review and keep AI-assisted work explainable.
DEMO DATAOpen review
Documents in scope
18,426
After processing
Potentially responsive
3,284
Model-assisted estimate
Needs privilege review
143
Attorney-client / work product
Needs human validation
286
Low confidence or conflicting cues
Review prioritization
Illustrative score groups · not final legal determinations
Issue and concept map
Cluster labels generated for exploration
A
Regulatory timing412 documents · 9 custodians
HIGHB
Integration planning638 documents · 11 custodians
MEDC
Deal rationale287 documents · 7 custodians
MEDD
Forecast assumptions194 documents · 5 custodians
LOWClusters are navigational aids. The underlying documents, family context and source citations remain available for verification.
Ask across this matter
Natural-language investigation concept
Question: Which documents discuss the regulatory review window and the planned integration sequence?
Illustrative answer
The sample matter includes messages about keeping the systems review separate until counsel confirms the approval sequence. Check the cited record and related family items.
MSG-ID 008341 · Jordan Park · page 1 · “regulatory review window”DOC-ID 008177 · Riley Chen · page 1 · “contingent on regulatory clearance”
How to use this result
Open each source, confirm context and protocol, then code or revise the answer. This demo does not query a real matter.
AI review quality controls
Human validation and defensibility
1
Define the issue and protocolUse matter-specific criteria and approved prompts
Required2
Validate a sampleCheck supporting excerpts and missed / false positives
Required3
Review sensitive decisionsPrivilege, redactions and low-confidence outputs
Required4
Record reviewer actionPreserve source, rationale, protocol and version
Required