Legal

AI Automation for Law Firms

Your associates spend hours on document review, research summaries, and matter management. We build AI that handles the high-volume, low-judgment work so your team bills on strategy, not data entry.

The problem with manual legal workflows

  • Document review on large matters takes weeks of associate time
  • Research memos require hours of reading that could be summarized in minutes
  • Matter intake involves redundant data entry across practice management systems
  • Contract review is manual, inconsistent, and hard to scale for due diligence

What we build for legal teams

Fixed-price projects. Live in 2–4 weeks. No hourly billing.

Document Review & Classification

AI reads, classifies, and extracts key provisions from contracts, pleadings, discovery documents, and correspondence. Privilege review, issue coding, and relevance scoring.

Research & Memo Assist

Summarize case law, statutes, and regulatory filings. Draft research memos from source documents. Surface relevant precedents across your document management system.

Matter Intake Automation

Extract client and matter details from engagement letters, conflict checks, and intake forms. Populate your practice management system automatically.

Contract Analysis

Identify non-standard clauses, missing provisions, and risk language across contract portfolios. Ideal for M&A due diligence and lease abstraction.

Common questions

Does this work with our document management system?

Yes. We integrate with iManage, NetDocuments, SharePoint, and custom DMS platforms. Documents stay where they are — we process them in place.

How do you handle attorney-client privilege?

All processing happens in your environment or in isolated, SOC 2-compliant infrastructure. We never use your documents to train models. Privilege classifications are flagged for human review, never auto-disclosed.

Is this just ChatGPT with a legal wrapper?

No. We build custom extraction and classification pipelines tuned to your specific document types, workflows, and quality standards. The model is one component — the engineering around it is what makes it production-grade.

Ready to automate?

We help legal teams implement AI that saves time and reduces risk. Most projects go live in 2–4 weeks.