Module 10 / 10 · 40 planned minutes
Make it part of your practice
Choose a useful recurring task, plan support and measurement, and translate the method into an optional approved Esheria workflow.
Use AI09's small tested workflow to plan a sustainable next step. Connect the method to an approved workplace environment without making a purchase or product dependency a condition of learning.
First pass: choose one recurring task, one reviewer and one measure. Move on when you have a feasible four-week plan, a stop rule, and an honest account of which operations you have actually practised.
Learn 14 planned minutes
Replace one difficult routine, not an entire profession
Start with a frequent task whose output can be checked: an internal update, meeting-action note, source comparison or document intake checklist. Describe the present difficulty before selecting a tool. “Use more AI” is not a meaningful work objective.
Keep what is already good in the manual process: the source list, reviewer, client boundary and final approval. Change one step and measure its effect. Maintain the ability to perform essential checking without AI. Confidence is useful but should be tested against corrected work, not just a self-rating.
Introduce the change with support. A short demonstration, safe practice, a peer question and a follow-up session can be more useful than a long list of features. Microsoft offers hands-on adoption formats with follow-up support; accounting-sector material similarly emphasises role relevance and ongoing learning. These are design examples, not proof of effectiveness for this course. MSFT ICAEW
Make it safe to report a problem. A learner who says “this draft invented a term” has contributed useful evidence. Do not reward prompt counts, raw usage or speed at the expense of quality. A team champion helps peers practise and find support; that role does not replace security approval or legal supervision.
Choose the tool for the job
Consider input permission, legal/source coverage, source traceability, output quality, file handling, collaboration, accessibility, cost, review controls and exit/export options. A familiar general assistant may suit a small permitted rewrite; legal research may need a specialist source environment; a connected workflow may need more controls and an administrator's help. No model leaderboard answers all those questions.
Availability varies by product, plan, jurisdiction and organisation settings. Record what you verified and when. Avoid designing a core learning outcome around a paid or untested feature. Refresh the workflow when the tool, sources or workplace rules change. The European Commission's literacy guidance is a useful role-and-context design reference; this course does not claim to certify compliance with EU legislation. EU
A useful bridge into Esheria
Esheria's public homepage describes LexChat as a source-backed legal research surface and LegalOS as supporting work around the answer, including documents, playbooks and supervised workflows. That is public positioning, not evidence that your account has a particular feature or that the course team has tested it. ESHERIA
Translate a skill you have already learned into a task: in a verified LexChat training route, pose a bounded research question and inspect the returned authority; in a verified LegalOS route, organise the synthetic source set and prepare a draft for human review. If either route is unavailable, rehearse the same task on paper. Do not connect a real firm repository for onboarding.
The invitation should be “continue this useful, checked practice in an approved workspace”, not “buy access to finish the course”. A final artifact and feedback remain available without joining the platform. Advanced API development, system deployment and autonomous client work belong outside this beginner course.
Worked example
A learner repeatedly writes short internal matter updates. Their plan is to test a generic workflow card once a week using permitted material, ask a supervisor to check material claims, record the full time cost and revise after feedback.
They will stop if the sources cannot be traced or permission is uncertain. After a month they will decide whether the process helps. They will not claim “expert agent builder” from having written a paper workflow.
If an Esheria training environment is available, they can try the same bounded update there and compare the result. The skill and review standard do not change with the brand.
Practise 20 planned minutes
Guided practice
Complete the first draft of A10's four-week plan. Select one task from A01–A09, name the quality standard and decide how you will obtain feedback. Then write an optional Esheria task brief with the intended result, synthetic inputs, source/feature checks and manual alternative. In simulation, use S10.
Feedback — compare after your attempt
A feasible plan names a task, frequency, owner, reviewer, inputs, quality measure and stop rule. “Automate all legal work” is not feasible beginner scope. “Connect my entire mailbox on day one” is not a substitute for permission review. A measured decision not to expand can be a good outcome.
Practice assignment
Complete A10 in at most 200 words, excluding the short platform task brief. State which skills were simulated and which were actually observed. Choose one next learning direction: deeper legal research, document comparison, a practical academy guide, or a professional core/specialist pathway suited to your legal background. The introductory course does not replace those prerequisites.
Participation
Explain your plan in one minute or five written sentences. Ask what would make it easy to maintain during a busy week. A solo learner can answer that question without a live call.
Check 6 planned minutes
Two formative checks. Choose an answer, then check it or open the comparison. Retry freely; this is not an award or an observed-skill record.
Source study and completion check
Optional pointer: MSFT's post-event adoption section or ESHERIA's public product descriptions. Name the evidence you would need before promising a real learner lab. Complete AI10's two checks, then attempt the separate final practice.
Before moving on, compare your artifact with the module feedback, correct material errors and keep its actual route label. This page does not record or certify completion.