Harvey
An AI tool built only for legal work that researches case law, reviews contracts, and analyzes large document sets for law firms and in-house teams.
A contract management tool for creating, reviewing, signing, and storing contracts, with an AI assistant called Jurist that drafts clauses and flags risk.
Ironclad is a contract lifecycle management tool used by legal, procurement, and sales teams. Staff create contracts from templates, route them for review, sign them, and store them in one place. Jurist, its AI assistant, drafts clauses, flags risk language, and can negotiate routine terms on its own, and Ironclad's AI pulls insights out of stored contracts, like renewal dates and key obligations. It connects with more than 20 other tools, including Salesforce, Slack, Microsoft Word, and DocuSign. It is made by Ironclad. Admins manage users and permissions through a central console, and pricing is set through a custom quote based on contract volume and user count.
This fits a company with a steady flow of contracts and a small legal or contract ops team. A common starting point is one contract type, like NDAs or vendor agreements, run through Ironclad's workflow builder first. Public reports on real deals show annual contracts often running from about $30,000 to well over $100,000 a year, with AI features adding 15 to 40 percent more on top; treat these as planning numbers, since Ironclad only sells through a custom quote, and budget for renewal cost increases in later years, which third-party buyers report as common. The main risk is total cost of ownership, since multi-year contracts, added modules, and AI add-ons can push spend well past the first-year quote.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $64.3K | $101.5K | $164K |
| Three-year total | $137.2K | $207.8K | $322.5K |
| First-year cost per unit | $64.3K | $101.5K | $164K |
| Average annual cost per unit (over three years) | $45.7K | $69.3K | $107.5K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $18.8K | $25K | $33.8K |
| Implementation | $10.8K | $18K | $30.6K |
| Integration | $12.1K | $22K | $39.6K |
| Staff time and change management | $7K | $10K | $14K |
| Security | $6K | $8.5K | $12.8K |
| Administration | $4.5K | $6K | $8.1K |
| Support | $2.1K | $2.8K | $3.8K |
Estimate assumptions: Based on 1 production workspace. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Ironclad AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
An AI tool built only for legal work that researches case law, reviews contracts, and analyzes large document sets for law firms and in-house teams.
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