Legal · persona
In-House Legal Department
Corporate legal team, 2-30 attorneys. Contract review queue + litigation oversight + compliance + outside-counsel management. Reactive by default.
A day in the life
What the next Tuesday looks like
An in-house legal team is the company's bottleneck by design. Procurement wants every NDA reviewed in 24 hours. Sales wants every customer contract reviewed in 48. HR wants employee separation agreements yesterday. Engineering wants a privacy review on a feature shipping Friday. Outside counsel sends 14 invoices a month.
The traditional workflow is an inbox. The GC triages, assigns to the right team member, follows up on status, and gets dragged into anything escalated. Capacity is constantly the constraint; CLO/GC time is constantly being burned on triage rather than judgment.
The AI layer turns the inbox into a workflow. Inbound contract requests are auto-classified (NDA / MSA / SOW / DPA / customer order form / vendor agreement / employment / other), assigned to the right reviewer, and tracked with SLA. NDAs against the company's standard form get redlined automatically; the attorney reviews edits, not the whole document. Customer contracts get a structured summary (terms vs standard, deviations, risk flags) before review. Outside counsel invoices get parsed, matched against approved budgets, and routed for sign-off, exceptions only escalate.
The GC spends time on the things that actually need GC judgment: bet-the-company contracts, regulatory exposure, board reporting. Not triage.
The in-house legal department playbook
The automations that matter most
Out of the full Legal catalog, these are the ones a in-house legal department should run first.
NDA auto-redline
Document assembly & review
Counterparty NDA → AI compares against company standard → generates redline with company's preferred language for each deviation → cover note explaining material changes → attorney reviews.
Contract intake & routing
In-house operations
Inbound contract requests classified by type (NDA / MSA / SOW / DPA / order form / vendor / employment), assigned to the right reviewer, tracked with SLA, escalated when overdue.
Outside counsel invoice review
In-house operations
Parses outside counsel invoices, matches against approved budgets, classifies time entries, surfaces variances and unusual entries for attorney review.
Compliance training tracker
In-house operations
Tracks every employee's required training (annual ethics, security, privacy, jurisdiction-specific), sends reminders, escalates overdue completions.
Litigation hold orchestrator
In-house operations
When litigation hold is required: identifies in-scope custodians, sends formal hold notices, tracks acknowledgements, and reminds custodians on the configured cadence.
In the wild
How this actually plays out
NDA auto-redline is the most-deployed in-house automation today, for good reason.
The AI workflow: counterparty NDA arrives. AI compares against the company's standard NDA, classifies each deviation (acceptable, must-fight, edge-case), generates a redline with the company's preferred language for each deviation, drafts a cover note explaining material changes. The attorney reviews the deviations the AI flagged as edge-case (typically 2-5 per NDA), approves or modifies the redline, sends back to the counterparty.
A company doing 200+ NDAs/year typically reduces NDA cycle time by 70-85% and recovers 8-15 hours/week of in-house attorney time.
Get the firm-shaped automation map
Tell us your firm size, primary practice areas, and the workflow that costs you the most attorney time. We'll come back with a written map of which 5-7 automations matter first, what privilege posture they require, and what the first 90 days would change.