Delivery Case Series · Legal
Process flow
How the legal work-product engagement works, end to end
An illustrative view of how this delivery case actually runs, not a literal system diagram. Four bands: what FuzeBox decides before anything is installed, what is onboarded once, what runs inside the firm every day, and what FuzeBoxOS manages continuously.
FuzeBoxOS
Client-owned
FuzeBox team
Feedback loop
1
Direction, before anything is installed
Day 0 → 10 · No cost, no install
STEP 01
Discovery run
Free · reads existing matter & billing records
Nothing installed, no privileged data moved. FuzeBox operators run it.
STEP 02
Practice-area inventory
3 AI use areas vs. 1 governed
Contract review, legal research, and first-draft memos catalogued against what's actually being tracked today.
STEP 03
Citation & cost-gap estimate
Unverified citations & unbilled AI time, matter by matter
One defensible figure the Managing Partner can carry into the next risk-committee meeting.
STEP 04
Control-layer blueprint
One work-product ledger, not a guess
Citation verification, the ledger, the confidentiality gate, and the billing bridge mapped to five controls, each tied to a funded owner.
Long loop: citation accuracy and billing gaps are re-scored every quarter, and the blueprint is revised as new practice areas adopt AI.
2
Onboarding, once
Day 10 → 28 · Live across every practice group
STEP 05
Register
Every practice group, one ledger
Each practice group enrolled with its citation-verification rules, billing codes, and a named control owner.
STEP 06
Declare confidentiality & disclosure rules
Privilege screens + bar/court disclosure rules
Each jurisdiction's disclosure requirements and the firm's privilege rules defined so an AI-drafted document can be checked against them automatically.
STEP 07
Wire the ledger and confidentiality gate
Verification ledger · confidentiality gate
Every AI-assisted draft logged with its review status; every prompt and document screened for privileged or client-identifying content.
STEP 08
Name the owners
No new department
Each control attaches to ownership the firm already funds.
3
Run, inside the firm
Every document, every practice group
STEP 09
Document drafts
Contract review · legal research · first-draft memo
An AI tool drafts a brief, memo, or contract redline at any of three practice touchpoints.
STEP 10
Citation verification
Checked before it reaches a partner
Every AI-drafted citation is checked against primary legal databases before the document reaches a partner for signature.
STEP 11
Confidentiality gate fires
Privileged & client content screened
Prompts and documents are screened for privileged or client-identifying content before they can reach an AI endpoint outside the firm's approved environment.
STEP 12
Billing reconciliation
AI-assisted time vs. matter & billing codes
AI-assisted time posts to the matter ledger alongside attorney hours, with the same audit trail.
STEP 13
Compliance refresh
Disclosure language, by jurisdiction
Bar-association guidance and court standing orders update the disclosure language as AI-use rules change.
Short loop: citation mismatches and confidentiality flags tune the verification layer weekly.
Every draft emits a trace to FuzeBoxOS ↓
4
Manage, on FuzeBoxOS
Continuous · Day 28 onward
trace = the document-drafting cycle · span = the citation-verification check · attributes: matter, practice group, document type, jurisdiction, billing code, privilege scope (y/n), reviewer, outcome
ROI
Risk & knowledge management own
Source and citation verification applied to every AI-drafted brief, memo, and filing before it leaves the drafting attorney's queue. Partners sign off on AI-assisted work product with the same confidence as fully attorney-drafted work.
Cost
Billing owns
AI-assisted time logged against matter and billing codes alongside attorney hours. AI-assisted work is priced, billed, and reported like any other timekeeper entry.
Compliance
General Counsel's office owns
AI-use disclosure tracked against bar association guidance, court standing orders, and outside counsel guidelines as they change.
Audit
Risk & knowledge management own
Immutable ledger of every AI-drafted document, its source citations, and the attorney who reviewed and approved it.
Cybersecurity
IT security owns
Confidentiality gate screening every prompt and document for privileged or client-identifying content before it can reach an AI endpoint outside the firm's approved environment. No privileged or client document has left the firm's controlled environment through an unauthorized AI tool.
Engagement model
Who holds what at each gate
| Gate | FuzeBox team | FuzeBoxOS | Client owner | Exit condition |
|---|---|---|---|---|
| Day 0 Discovery |
Runs discovery, catalogs AI use across practice groups, estimates the citation and billing gap | Reads existing matter & billing records only | Managing Partner | One defensible figure for unverified citations and unbilled AI time |
| Day 10 Onboard |
Registers practice groups, declares confidentiality & disclosure rules, names control owners | Register, disclosure rules, ledger metering | Risk & knowledge management, billing | Every practice group enrolled with verification rules and billing codes in place |
| Day 20 Evidence |
Packages the reconciliation for the risk committee | Ledger vs. billing-code reconciliation | General Counsel's office | Citation accuracy and billing gap disclosed and quantified |
| Day 28 Live |
Hands the run to the firm, stays on review cadence | Five controls live across every practice group | Risk management, billing, IT security, General Counsel's office | Control layer operating without FuzeBox in the loop |
| Day 90 Review |
Re-scores citation accuracy and billing capture with the owners | Cost, ROI, reconciliation, and compliance reporting | Managing Partner, with the risk committee | Work product consolidated into one ledger leadership trusts |
“AI without measurement isn't transformation.”
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