Mastering AI for lawyers and law firms
From concept to automation with Claude Desktop, with no coding at all. Recover the billable hour that today is lost to repetitive work — always with professional confidentiality preserved.
“the AI researches and drafts, you review and decide”
The tasks that eat up the billable hour
The repetitive work that takes up the firm's time today — and where applied AI, with human review, gives back hours every week.
Contract review
Reading clause by clause to point out where the risk is — and on which page. A first pass that drags on for days.
Verified case law
Researching arguments with the source flagged, without the risk of citing a precedent that doesn't exist.
Due diligence
Running your own checklist across piles of documents, with nothing slipping through in the rush of the deal.
Pre-hearing briefing
Cross-referencing emails, calendar and case files to arrive prepared — manual work that swallows the whole morning.
Case tracking
Following deadlines and updates across several courts in a spreadsheet that needs updating every day.
Opinions and pleadings in the firm's voice
Starting every document from scratch, when the first draft could already come out in the firm's standard and tone.
Legal market references
Figures reported by firms and industry publications in 2025–2026. They serve as a reference, not a promise.
Due diligence on a US$ 45M acquisition completed in 3 days, with 2 critical change-of-control clauses identified.
reduction in document review time with applied AI.
more cases handled without hiring new lawyers (firm report).
saved per week with well-designed legal AI workflows.
Legal sector references (2025–2026). Results vary depending on the case, the firm and the maturity of use.
The program
20 hours, from concept to an agent that monitors deadlines — the same techniques behind Radar Jurídico (DJEN/STF), the publications monitor OPEX is developing.
Module 1 — Fundamentals
9.5h- What AI is (and what it isn't): where it gets things wrong and how to stop hallucinations before they reach the client or the case file3h
- Advanced Prompt Engineering: the R-C-E-S framework and legal templates for review, opinions and research3.5h
- Context Engineering: feeding the AI contracts, case files and case law — up to ~1,500 pages in a single conversation3h
Module 2 — Productivity and Automation
10.5h- Claude Desktop in practice: Projects, Skills and Memory — assistants that already know the firm and write in your voice3.5h
- Connectors — Google Workspace and Microsoft 365: plugging AI into email, calendar and files, with minimal scope and confidentiality4h
- No-code automation — your agents: routines that monitor deadlines and case tracking, always with your approval before acting3h
Format and investment
Choose the format that makes sense for your firm — the content is the same, the examples adapt to your practice area.
Online, live
Live classes with the instructor, in a group. Bring questions about your real case and solve them during the course.
In-company
A closed group at your firm, with examples tailored to your practice areas and internal workflows.
Terms according to cohort size and format. Includes handouts, study guides, slides, video lessons, podcasts and a certificate of completion.
Your instructor
Ricardo Segura
Founder of OPEX Consultoria
Three decades in energy and management, operating in Brazil and the United States. He doesn't teach theory: he runs two companies that operate with AI every day. “I teach as someone who does it — and I run AI in my own company every day.”
Reserve your place in the next group
Leave your contact and we'll let you know about dates, prices and conditions for your firm. No commitment.
Transparency
- OPEX is not affiliated with, certified by, or endorsed by Anthropic. “Claude” is a trademark of Anthropic; this training is independent.
- The AI researches and drafts; the legal review and decision are always the lawyer's.
- Professional confidentiality is preserved: you decide what goes into the tool and with what access scope.
- The market references cited are from the legal sector (2025–2026) and do not constitute a promise of results.