Ironclad
Each of these is a real decision Ironclad is working through, written so you can make the call yourself — incomplete information, someone who pushes back, no answer key.
Ironclad is a B2B enterprise SaaS provider of AI-enabled contract lifecycle management software that manages contracts from intake through signature, storage, renewal, and analysis. It primarily serves corporate legal and legal-operations teams, along with procurement, sales, finance, and IT users involved in contracting. Ironclad is building AI on a dataset of over 2 billion contracts across thousands of the world's largest organizations. Its engineering stack is built on TypeScript, Node.js, PostgreSQL, Temporal, and Docker containers in Kubernetes on Google Cloud Platform.
Your first one is free. No card.
10 live right now.
The rest
Choose a focused pilot rather than waiting for a general agent
Legal operations managers repeatedly assemble the same contract answers from manual searches and document review. You need to weigh a focused evidence-backed experience against broader expectations for an AI agent.
Choose an export path after recurring obligations misfire
Six of 43 exported records carried incorrect recurring obligation dates, with similar errors inferred in long agreements. You need to weigh a platform-wide hold against reviewed continuity for procurement workflows.
Restore links for counterparties in Smart Import without pausing imports
Confirmed counterparty links fell from 89% to 61% after a metadata source changed. You need to weigh uninterrupted imports against the trust customers need in connected contract data.
Rank renewal attention before notice windows turn into fire drills
Renewal searches spike in the last 45 days before notice windows, when legal operations is already triaging manually. You must weigh an actionable ranking against incomplete outcome history and reviewer trust.
Choose the index cutover while permission evidence still conflicts
The current index reaches capacity in 21 days, while automated and legal review disagree on 14% of access-sensitive queries. You must weigh a one-way capacity cutover against the proof needed to protect contract confidentiality.
Recover payment-cap answers after exhibits split from contracts
Payment-cap answer acceptance fell from 95% to 72% after exhibits began indexing separately. You must restore complete evidence without slowing the search people use during negotiations.
Prove AI value without turning adoption into reporting
Legal Operations Managers have usage data but no executive-ready evidence of AI efficiency. You must weigh a credible value narrative against a programme customers can complete during activation.
Commit the workflow while AI terms still disagree
AI extraction matched legal review on renewal terms in only 86% of the proof-of-value sample. You must weigh quarter-end agreement throughput against controls that prevent recurring errors in live workflows.
Rework intake before email becomes the default
Workflow completion dropped from 78% to 41% after an approver field was added. You must weigh complete approval data against a requester flow people will actually use.