Legal AI Operating System

8 functions · 5 layers · 1 governance architecture · 3 clients · 12 lawyers

~2,500
Attorney Hours Saved / Year
~$600K
Client Value Delivered / Year
100%
Decisions Auditable & Traceable
L0: Knowledge Foundation L1: Governance & Trust L2: Legal AI Functions L3: Program Operations L4: Organizational Model
1
Input
→
2
Router
classify
→
3
Evaluator
reason
→
4
Scoring
judge
→
5
Audit Trail
record
Auditability Explainability Traceability LLM provides reasoning. System provides judgment. Never the reverse.
FUNCTION 1 Matter Intake & Triage
Every new matter evaluated in under 10 seconds — practice area, conflicts, risk, staffing, all auditable. Deployed for the enterprise client's intake workflow.
Matter Summary
unstructured text
→
Router
practice area · urgency · jurisdiction
→
Evaluator
5 weighted dimensions
→
Scoring
programmatic · never trusts LLM
→
Risk Badge
low / medium / high
180×
Faster — 30 min → <10 sec per matter
94%
Practice area classification accuracy
~400
Matters / year across 3 clients
~75 hrs
Attorney time saved / year
FUNCTION 2 Contract Review & Analysis
Clause-by-clause analysis against 30+ configurable legal standards — 5 specialized agents, RAG-powered. Used by all 3 clients for routine contract review.
Upload
PDF / DOCX / TXT
→
Router
vendor · customer · employment · DPA · general
→
Agent
domain-specialized · clause-by-clause
→
RAG
client precedent · negotiation history
→
Risk Score
5 dimensions · weighted
160×
Faster — 2 hrs → ~45 sec per contract
~800
Contracts reviewed / year
~1,200 hrs
Attorney time saved / year
FUNCTION 3 Employment Legal Agents
Three specialized agents behind RLS walls — separation agreements across US/EMEA/AU, metrics analysis, state filings. Deployed for the enterprise client's employment practice.
Sep Agreement
US · EMEA · AU templates
→
Jurisdiction Router
country · length of service
→
Metrics Agent
NL → ops data
→
Filing Agent
state forms · deadlines
~25
Separation agreements / year — 2–4 hrs → 30 sec each
~75 hrs
Saved / year on agreements + filings
Zero
Confidentiality breaches — RLS-enforced walls
FUNCTION 4 Cowork Legal Plugin
9 legal skills inside Claude — playbook-driven, zero new tool adoption. All 12 lawyers across 3 clients use it where they already work.
legal.local.md
playbook: positions · ranges · escalations
→
9 Skills
review · NDA · compliance · risk · response · briefing · vendor · signature · daily
→
Claude
where the team already works
→
Attorney Review
100% human-gated output
12
Lawyers actively using — 100% adoption across clients
9
Skills covering 80%+ of routine in-house tasks
Zero
New tools to adopt — works inside Claude
FUNCTION 5 Due Diligence Accelerator
Bulk document review for the enterprise client's transactional work — clause-by-clause comparison against deal-specific standards, deviation-only presentation.
Batch Ingest
100–200 docs/deal
→
Parallel Classify
by contract type
→
Clause Compare
vs target standards
→
Group Identical
dedup boilerplate
→
Deviations Only
~8% of total pages
87%
Time reduction — 15 hrs → ~2 hrs per deal
3–5
Deals / year for enterprise client
~60 hrs
Attorney time saved / year
FUNCTION 6 Regulatory Change Monitor
Monitors regulatory sources relevant to the enterprise client's industry — extracts changes, maps to active matters, notifies within 24 hours.
Poll Sources
15–20 agencies · daily/weekly cadence
→
Extract Change
LLM: what · where · when · who affected
→
Match Matters
jurisdiction · practice · industry
→
Classify Severity
core impact · enforcement · deadline
→
Notify
Slack · email · webhook
<24 hrs
Change detection window — was: weeks or missed
2
Critical changes caught before client impact
15–20
Sources monitored — focused on client's industry
FUNCTION 7 KM & Precedent Intelligence
"Have we done this before?" — answered in seconds. Semantic search across all 3 clients' knowledge bases. Clause libraries that learn from every review.
NL Query
"Have we handled a separation in Germany before?"
→
Query Refine
LLM expands · synonyms · jurisdiction variants
→
Semantic Search
vector index · concepts not keywords
→
Enrich
how used · what decided · outcome
→
Results
ranked · contextualized · related docs
Seconds
Per query — was 30–60 min asking around
~120 hrs
Research time saved / year across 12 lawyers
100%
Client precedent searchable — no lost institutional memory
FUNCTION 8 Client Value Reporting
Quarterly reports for all 3 clients proving AI value — every number backed by the audit trail. Turns the disclosure obligation into a retention asset.
Aggregate
all function databases · per client/matter
→
Calculate
time saved · cost avoided · risk distribution
→
Assemble
governance docs · ABA 512 · audit samples
→
Generate
executive summary · breakdown · proof
3
Clients receiving quarterly AI value reports
Minutes
Per report — was days of manual assembly
100%
Audit-trail-backed — every number provable
Across 3 clients: 1 enterprise legal team (10 lawyers) + 2 independent practitioners. ~400 matters, ~800 contracts, 3–5 due diligence deals per year.
Every function invocation follows: Input → Router → Evaluator → Programmatic Scoring → Audit Trail. The LLM provides reasoning. The system provides judgment. Every decision is auditable, explainable, and traceable — by architecture, not by policy.