Legal education
Phase 1
Juridical Learn is a proposed environment for legal research, writing, and verification—with AI use defined by instructors and assessment led by people.
Platform under construction
The education opportunity
Make legal judgment part of the learning.
A convincing memo reveals the result. Juridical Learn is intended to make the consequential research, verification, and revision decisions visible alongside it.
For law schools
Connect assignments, permitted AI use, and human assessment in a setting for developing legal research, reasoning, and professional judgment. The proposed work record would help institutions examine their teaching approach beyond polished output.
For professors
Use a decision record alongside the final work to give targeted feedback on authorities, verification, reasoning, and revision. Assessment would remain human-led.
For students
Practice source checking, evaluating AI suggestions, and revision within each assignment’s permissions. Students would see the record used in their assessment; stronger AI-assisted output would not, by itself, demonstrate stronger unaided skill.
The planned experience
From an assignment to useful feedback.
A controlled environment for legal research, writing, AI interaction, verification, and feedback is under development. The sequence below describes the intended experience.
- Task
- Research
- Authorities
- AI interaction
- Verification
- Human decision
- Work product
- Feedback
Set the assignment.
Instructors would define the task and permitted AI use. Those permissions would establish what students may use as they research and write.
Research and make decisions.
Students would identify relevant authorities, check the source materials, evaluate any AI suggestions, and revise their work. A consequential suggestion would remain something to verify and judge.
Submit the work and its record.
A structured record would connect consequential actions and explicit decisions to the final submission: what was consulted, checked, accepted or rejected, and changed.
Assess and reflect.
Instructors would assess legal judgment and provide targeted feedback. Students could see the record used in that assessment and the relationship between a decision, a revision, and the feedback it receives.
Transparent, observable work
The work behind the work.
The proposed record would include authorities consulted, verification actions, decisions, revisions, and reviewer feedback. It connects the process to the final legal work.
Actions and explicit decisions.
The intended record concerns observable work and decision checkpoints. It does not imply access to private thoughts or model chain-of-thought.
Students would see the record used in their assessment. The scope of recording, access permissions, and institutional requirements would need to be agreed before use.
A verification decision
A draft relies on a decision to support a legal proposition.
Jurisdiction and subsequent treatment are checked against the source materials.
The unsupported proposition is rejected. The revision is connected to that decision.
A fictional illustration of a verification decision an instructor could assess. This describes a proposed experience; it is not a preview of a live product.
Teaching and assessment
Instructor direction. Human judgment.
The record would add context for assessment while leaving the instructor responsible for judgment.
Assignment-level AI permissions
A common environment could make assignment permissions clearer and connect the submitted work to the conditions under which it was produced.
The exact controls, AI configuration, and permitted uses remain to be specified as the platform is developed.
A basis for targeted feedback
Instructors could discuss source selection, verification, uncertainty, and revision in relation to the final work.
No automatic measure is presented as a substitute for professional judgment. Learning outcomes would need to be evaluated; they have not been established.
Building with educational needs in view
Bring a course, an assignment, or a teaching question.
We welcome conversations with law schools, professors, and students about how the proposed environment should fit legal education.
Useful starting points
- The research and reasoning skills an assignment is intended to develop.
- Where AI assistance should be permitted, constrained, or withheld.
- The actions and decisions an instructor needs to understand when giving feedback.
- Student transparency, recording scope, access permissions, and institutional requirements.
- How the proposed experience should be evaluated before wider use.
A proposal open to refinement
Research and educational feedback may support, challenge, or reshape the platform. A collaboration conversation would begin with needs and constraints; it does not assume a deployment or an existing institutional partnership.
Discuss Phase 1The About & Contact page prepares an email draft for you to review and send. An enquiry does not register students or create platform access.