Score every AI agent in your contracts pipeline.
Contract review, intake triage, document drafting copilots — every vendor claims attorney leverage. AgentScore reads your matter-management system and tells you which agents actually raise throughput cleanly and which create override work nobody's tracking.
What you see in the dashboard
- Per-agent score across review throughput, attorney override rate, turnaround time, and risk-flag accuracy.
- ImplementationScore for the legal team — workflow integration with the matter system, governance on confidential document handling, learning loops from override patterns.
- Recommendations that point at the contract type or risk category where the agent silently misses — fix the playbook, not the dashboard.
The agents
What AI in a legal-ops team typically looks like.
Document and matter work — same eight factors as every other vertical, weighted for legal operations.
Contract review
Reads inbound contracts, surfaces risky clauses against your playbook, drafts redline suggestions.
Intake triager
Catches the legal-help inbox, classifies requests, routes to the right partner or self-serve template.
Document drafting
Generates first drafts of NDAs, MSAs, SOWs from approved templates + matter context.
Matter tracker
Watches deadlines, drafts status updates, surfaces matters drifting past target turnaround.
Compliance copilot
Flags policy mismatches in inbound paper, drafts the rejection or change request the GC would.
The signal
What we read from your matter system + intake.
OAuth or CSV into Ironclad, ContractWorks, or matter-management equivalents. Document content stays in your system; we read operational metadata.
Review throughput
Documents the agent reviews per hour against the human-only baseline.
Attorney override rate
How often an attorney rejects the agent's redline or recommendation.
Turnaround time
Median time from intake to first attorney-reviewed draft.
Risk-flag accuracy
Share of agent-flagged risk clauses that an attorney confirms.
Backlog age
Median age of legal-ops queue items the agent is responsible for.
Mid-market in-house team · 6 attorneys · 1 review agent
Throughput up 31%, override rate up 19% — and the team didn't notice.
The vendor's dashboard reported 31% more contracts reviewed per hour. AgentScore caught the override rate climbing in lockstep — attorneys were redoing more of the agent's work, especially on data-processing addenda.
Two playbook entries refined for DPAs specifically, override rate fell back to baseline, throughput gain held. Net leverage real, not vanity.
SOC 2 in progress
Type II audit kicked off Q3 — interim report on request.
Read-only data access
OAuth scopes never request write to your CRM, jobs platform, or call data.
Algorithm-only scoring
Every score computed by ASAM. No manual overrides — not for customers, not for us.
Anonymized at ingest
Identifiers stripped before any aggregate analytics. We never train on identified rows.
Get a defensible read on your legal-ops AI.
Operational metadata only. Read-only. We never read confidential document content.