Marcus Wright
Wright & Associates · Austin, TX
Workflow Rebuild
Specific evidence — not a self-rating
Every MSA goes through a three-pass system I built: Spellbook for clause-level risk, a custom GPT trained on my 200 most-redlined contracts for stylistic deviation, and a final Claude pass that compares the doc to the client's standard playbook. The system catches roughly 90% of issues before I open the file. I spend my time on the ten percent that requires judgment.
Signature Prompt
A prompt they actually use in practice.
Compare this MSA to the attached client playbook. List every deviation in three columns: clause, opposing language, our standard. Rank by economic impact, not by length.
Workflow Areas
Tools: ChatGPT · Copilot · Spellbook
All AI-assisted work is performed under attorney supervision and reviewed before delivery to clients.
Practice Areas
→Commercial Contracts (MSAs, SOWs, Licensing)
→Technology & IP Licensing
→NDAs, Non-Circumvention, Non-Solicit
Jurisdictions
Single State reach
Details
- Years Practicing
- 8
- Firm Size
- Solo
- Billing
- Hybrid (Fixed + Hourly)
- Negotiation
- Firm but relationship-preserving
Verification
Profile reviewed 31–90 days ago. Claims are likely current.
Links