Learn what AI needs beyond a prompt to produce relevant, accurate and source-grounded legal outputs.
Legal Brain Academy
Founding course · Cohort 1
Legal Context
Engineering
Build Better Context for Legal AI. Develop Career-Ready Skills for the Future of Legal Work.
Move beyond one-off prompts. Learn how to structure legal context, connect trusted sources and turn recurring legal tasks into reusable AI-enabled workflows.
The Legal Brain — a context graph
Why it works
Better legal context leads to more reliable legal outputs.
Learn how to turn your legal knowledge and professional judgment into a Legal Brain: a structured system of interconnected roles, knowledge, memory, instructions and trusted sources that gives AI the context it needs for real legal work.
Instead of rebuilding context for every task or spending excessive time checking unsupported claims, you will learn why AI hallucinates, how to ground its outputs in traceable references, and how to make human verification faster and more focused.
Develop a career-ready Legal AI skill that strengthens your position in a changing legal market and stand out for potential opportunities to join Legal Nodes and work alongside a team at the forefront of AI-enabled legal work.
Please note that participation in the course does not guarantee employment, an interview, or any future role with Legal Nodes, and Legal Nodes is under no obligation to offer employment or other professional opportunities to participants.
The research signal
Why structured context matters
64.9%
Accuracy with standard RAG.
76.1%
Accuracy when standard RAG was augmented with structured knowledge-graph context and source documents.
+11.2 pp
Best observed improvement over the standard RAG baseline, measured in percentage points (pp).
Source: Stanford CS224N Custom Project, “Mapping the Mind: Knowledge-Graph Augmented Retrieval.” Evaluated with GPT-4 on the QuALITY long-context question-answering dataset. These results come from a general long-context question-answering benchmark, not from legal tasks, and are cited as supporting evidence for the value of structured, knowledge-graph augmented context.
The course
What is Legal Context Engineering?
Legal Context Engineering is the flagship course of Legal Brain Academy, an education brand powered by Legal Nodes. It is designed for early-career professionals who already understand the basics of legal work and want a structured, practical approach to using AI.
You will learn how to take a real legal task, structure the knowledge and judgment behind it, connect the right sources, and build a Legal Brain that gives AI the context it needs to support your work.
Why join
- 01
Learn how to build the relationships and structures that get AI the information it needs, instead of a simple prompt.
- 02
Improve the quality and reliability of AI outputs through better context, instructions and sources.
- 03
Turn recurring legal knowledge and tasks into reusable AI workflows.
- 04
Practise legal research, verification and responsible AI use.
- 05
Build a final project you can reference in your professional portfolio.
- 06
Earn a certificate of completion and join the Legal Brain Community.
Your first Legal Brain
What you will build
By the end of the program, you will build the foundations of your first Legal Brain around a selected legal use case.
Role
What the AI is responsible for, and where human judgment stays essential.
Knowledge
The legal information and domain context it needs.
Memory
Historical context that should persist across tasks.
Skills
Repeatable instructions for recurring legal work.
Sources & tools
Reliable inputs, verification criteria and connected systems.
Curriculum
Four workshops, one end-to-end use case.
The course is built around engineering a reliable AI workflow for drafting and reviewing contracts. Step by step, you will structure the necessary legal context, configure it in Claude, create reusable Skills and learn how to evaluate and continuously improve AI-generated legal outputs.
Turn the Legal Brain into a practical AI workspace. Understand what a Claude Project is, how it works and what elements it contains.
Transform recurring legal tasks into reusable instructions that Claude can execute consistently.
Combine all course components into one working Legal AI system and learn how to improve it through structured evaluation.
By the end of the course, you will have built your own working Legal AI workflow, supported by structured context, trusted sources and clearly defined quality criteria. The workflow is created for your practical use and will not be formally reviewed or graded by the course team.
Audience
Who should apply?
- Early-career legal professionals.
- Recent law graduates with practical experience.
- Candidates curious about Legal AI, automation and the future of legal work.
- Participants with working English proficiency and basic familiarity with tools such as ChatGPT or Claude.
Please note. The course is not designed for participants with no practical exposure to legal work. Advanced AI expertise or coding experience is not required.
Program format
The commitment
- Format
- Online
- Language
- English
- Cohort
- Only 20 participants
- Kickoff
- 1 October 2026
- Live sessions
- Wednesdays, 4:00 PM BST / 6:00 PM Kyiv time
- Weekly
- 1 hour live + 2–3 hours practical work
- Cost
- Free for selected participants
Included
What you will receive
- Four live expert-led sessions with Q&A.
- Practical weekly assignments that build toward the final project.
- Templates, fictional practice materials and implementation guidance.
- Feedback on your work and access to a selected peer community.
- Certificate of completion, subject to participation requirements.
- Potential consideration for future project-based or other collaboration with Legal Nodes for high-performing participants, depending on business needs.
Selection
Selection and application
Cohort 1 is limited to 20 participants. Applications are reviewed based on practical legal exposure, motivation, curiosity about AI-enabled legal work and readiness to complete hands-on assignments.
Applications open 3–20 September 2026.
- 01
Application
Candidates complete the application form and submit their self-presentation. - 02
Application review
The Legal Nodes team reviews all applications and presentations. - 03
Selection
Candidates are evaluated and the final participants are selected. - 04
Results & next steps
All applicants are contacted about the outcome, and selected candidates receive information about the next steps.
Responsible AI and program disclaimer
Built in from session one
The program teaches responsible AI use: verification, confidentiality, source quality, limitations and professional judgment are built into the curriculum from the first session.
Participation is educational and does not guarantee employment, an internship or future collaboration. Any future opportunity would be considered separately and depend on participant performance and Legal Nodes’ business needs.
About
Legal Brain Academy
Legal Brain Academy is an education brand powered by Legal Nodes, created to prepare legal professionals for the next generation of AI-enabled legal work. Its programs combine legal expertise, practical technology use and responsible professional judgment.
Legal Nodes provides the legal and AI-enabled delivery experience behind the Academy. Legal Brain Community supports continued learning, peer connection, events and future professional development.
FAQ
Questions, answered.
Everything practical about format, tools, time and outcomes.
No. The course focuses on structuring legal context and designing AI-enabled workflows, not software development.
The program begins with free tools. A paid plan is required for a specific practical stage. Selected participants will receive access and clear activation guidance.
Approximately one hour for the live session and two to three hours for practical work.
Yes, subject to the program’s recording and participation terms.
Yes, participants who meet the completion requirements will receive a certificate of completion.
No. The program is educational. High-performing participants may be considered for future opportunities, but participation does not guarantee collaboration or employment.
Don’t just learn what Legal AI can do.
Learn how to build with it.
Join a selected cohort of early-career legal professionals and build your first reliable AI-enabled legal workflow.