Question 1

What types of AI workflows does Taylor Legal Engineering build?

Accepted Answer

We build production-grade AI workflows for contract drafting, contract redlining, contract analysis, regulated communications review, third-party risk assessment, document triage, obligation tracking, M&A due diligence, litigation support, and legal research acceleration.

Question 2

How much does a legal AI workflow engagement cost?

Accepted Answer

Start with our free AI Implementation Assessment at taylorlegalengineering.com/assessment. Implementation engagements range from $35,000–$75,000 for a single workflow to $100,000–$200,000 for a full AI Workflow Suite. Ongoing optimization is available at $5,000/month.

Question 3

What do you deliver at the end of an engagement?

Accepted Answer

You receive a working repository with tested code, full documentation including architecture docs and runbooks, and a 60–90 minute handoff call. You own the implementation. We retain background IP.

Question 4

What makes Taylor Legal Engineering different from other legal AI consultants?

Accepted Answer

Our founder is both a corporate technology attorney (7+ years, PA/NJ/NY bars, CIPP/E) and a full-stack AI engineer who built BitsBound — a production-grade AI contract analysis platform. Every workflow we build is auditable, human-controlled, playbook-driven, reversible, and integrated with your existing systems.