AI Engineering for In-House Legal

We automate contract lifecycle, outside counsel management, and board reporting — your legal team advises the business, not manages documents.

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Common Questions About AI for In-House Legal

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your legal department — watching how contracts move through approval chains, how outside counsel invoices get reviewed, and how board materials get assembled. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
Does this integrate with our existing CLM and legal tech stack?
Yes. We connect to Ironclad, Icertis, Agiloft, DocuSign CLM, SharePoint, and any system that stores contracts or legal data. The AI sits on top of your existing stack — no rip-and-replace. Your legal team keeps using the tools they know.
What about confidentiality and data security?
Everything we build runs inside your infrastructure, not ours. Your data never leaves your environment. We sign NDAs and agreements addressing privilege and confidentiality obligations. Encryption at rest and in transit, role-based access controls, and comprehensive audit trails. We follow SOC 2 frameworks and can deploy on-premises or in your private cloud.
What happens if the AI makes a mistake on a contract review?
Every workflow has a confidence threshold. Below it, the contract routes to human review — same as your current process. The AI highlights specific clauses, risk levels, and deviations from your playbook. Your team makes the final call. The AI learns from each correction, improving over time.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: contract turnaround time, outside counsel spend variance, compliance gap closure rate, and time-to-board-report. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we have a problem — and we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like contract review or outside counsel management. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most in-house teams start with contract lifecycle automation, prove the ROI, then expand. Every engagement starts with a free 30-minute assessment — no commitment.

Your legal department is too complex for manual processes.

Book a free 30-minute AI Assessment. We'll map your highest-volume workflows and show you the 3 processes with the highest ROI.