UNIT 01
Understand
Know what the model can and cannot do.
- Track focus
- Model limits in legal work
- Working asset
- Legal AI use-case register
- Risk control
- No delegation of professional judgment
FOR LAW FIRM OWNERS AND SOLE PRACTITIONERS
Build an AI-operating law practice in one working day.
A practical, risk-aware workshop for using AI across intake, chronology building, correspondence, research preparation, internal knowledge, administration and client communication. Verification, confidentiality and professional judgment remain controlling.
SELECT OPERATING CONTEXT
Which version is relevant to you?
One practical AI course; configured to the work you actually do.
01 / INTERACTIVE PROOF
Turn a confused narrative into a reviewable matter map.
A rule-based demonstration of how structure and verification gates improve legal work preparation without pretending to decide the law.
Synthetic demonstration only. Human legal review remains mandatory. This tool does not provide legal advice or verify authorities.
OPERATING PIPELINEAwaiting synthetic input
Run the example to expose decisions, missing information and the human verification point.
02 / ONE-DAY COURSE
Eight moves from first principles to adoption.
A complete working day for busy participants. The shared method remains consistent; the examples, lab, outputs and risk controls adapt to law firms.
03 / WORKING ASSETSYou do not leave with notes.
You do not leave with notes.
You leave with working assets.
Legal AI operating protocol
A written rule-set for appropriate use, verification and escalation.
Intake and chronology templates
Reusable structures for turning messy narratives into reviewable work.
Verification checklist
A gate for facts, citations, assumptions and professional judgment.
Confidentiality decision tree
A practical route for deciding what may enter which tool.
30-day practice roadmap
Prioritised workflows, owners, controls and stopping rules.
04 / HOST REQUIREMENTS
Everything required to host the course
No specialist installation or dedicated AI infrastructure is required for the standard one-day course.
Venue
- Quiet training room
- Laptop-friendly table seating
- Reasonable lighting and ventilation
- Clear sightline to the display
8 to 20 participants for practical in-house delivery. Larger groups require an altered facilitation and commercial model.
Display + audio
- Projector or large display
- HDMI or compatible presentation connection
- 1080p recommended
- Room speakers only when an agreed demonstration needs audio
A microphone is recommended above approximately 20 participants.
Internet
- Stable internet access
- Guest Wi-Fi details available before the course
- Access to organisation-approved AI services
- 20 Mbps shared is a practical recommendation for a normal cohort, not a guarantee
Higher bandwidth may be needed for larger groups; organisational controls and concurrent use affect performance.
Power
- Accessible charging points
- Extension leads or power strips where table outlets are unavailable
Participant equipment
- Windows, macOS or supported Chromebook laptop
- Charger and current browser
- Email access for account verification
- Any approved AI account identified during preparation
Phones and tablets can supplement a laptop, but are not equivalent for every lab.
Software
- No local installation for the standard course unless agreed beforehand
- Free accounts are sufficient for specified introductory exercises
- Paid features are used only when the host provides or approves them
- Technical labs may require separately scoped development tools or sandbox access
No specialist installation or dedicated AI infrastructure is required for the standard one-day course. Private or regulated deployments require separate scoping.
Data and security
No confidential client, customer, employee or production data should be entered into public AI tools. Exercises use synthetic, anonymised or host-approved data; host policy prevails. The trainer requests relevant AI, privacy and security policies during preparation. Private or regulated deployments require separate scoping.
FIVE-STEP CHECK
Can you host the standard course?
Missing one or more items does not end the conversation. It changes the delivery plan.
- 1
Do participants have laptops?
- 2
Is stable internet available?
- 3
Is there a projector or large display?
- 4
Can approved AI services be accessed?
- 5
Can the host provide participant roles and desired workflows in advance?
0 / 5 answeredComplete the check to see the practical delivery route.
Before the course
- Firm size and participant roles
- Principal practice areas
- First workflows to improve
- Approved AI and document tools
- Confidentiality, privacy and security policies
- Internal restrictions and accessibility needs
Included in delivery
- Delivery laptop and presentation
- Digital legal-workflow workbook
- Synthetic matter datasets
- Intake, chronology and verification templates
- Agreed certificates
- Pre-course configuration and included implementation summary
CONTINGENCYDELIVERY ALTERNATIVE
No guest Wi-FiTrainer-led demonstration or an approved hotspot
AI service blockedPrepared sandbox or simulation
Display failureLarge alternative display or participant screen-sharing
Participant lacks an accountPair work or pre-created approved access
Strict security environmentSynthetic offline exercises where scoped
05 / USER-CONTROLLED MODEL
Model capacity, not imaginary billings.
Estimate time that may be reclaimed from suitable preparation and administration. Reclaimed capacity is not automatically billable revenue.
130
1 h80 h
1 h100 h
RM 30RM 300
0%80%
0%60%
0 h15 h
LIVE MODEL OUTPUT
Across 5 fee earners
Not assumed to become billable revenue
Explicit annual human-review overhead
Annual average, if distributed evenly
The model supports a measured pilot under these assumptions.
At half the expected time reduction, the model produces 5 h of annual capacity after review.
Uses 46 working weeks and deducts explicit human-review time. Values are user-controlled estimates.
06 / DELIVERY OPTIONS
One practical day, scaled to the firm.
Pricing follows facilitation depth, customisation and cohort size. The planning defaults below remain subject to commercial review.
Small Firm
Planning default: RM 8,000One day • up to 8 participantsA focused firm-wide operating foundation.
- Common course spine
- Synthetic legal matter lab
- Reusable legal templates
- 30-day practice roadmap
Practice Team
Planning default: RM 12,000One day • 9–20 participantsConfigured to the firm’s practice mix and workflows.
- Everything in Small Firm
- Pre-course workflow discovery
- Practice-area examples
- Implementation summary
Custom Programme
Scoped proposalMulti-cohort or implementation supportFor firms requiring deeper policy, workflow or private-environment work.
- Multiple cohorts
- Optional implementation audit
- Optional follow-up clinic
- Private deployment scoping
Planning defaults require commercial and legal review before final quotation. Eligible programmes may be claimable subject to the employer's levy balance, approved scheme, documentation and HRD Corp requirements. Claimability copy remains subject to legal and commercial review.
07 / PRACTITIONER-BUILT
Built from legal judgment and systems work.
TRAINER
Raul Lee Bhaskaran
Advocate and solicitor at RLB Advocates & Solicitors; tech entrepreneur at Axon Avenue PLT. The course is built around practical workflows, transparent assumptions and accountable human review.
Risk-aware methodVerification, confidentiality and professional judgment are explicit parts of the workflow.
Implementation assetsParticipants build prompts, templates, gates and an adoption plan they can inspect.
Configure a useful working day 08 / CONFIGURE DELIVERY
Configure the day around your practice.
Send the firm profile, constraints and first workflow. Axon Avenue will return a scoped delivery proposal.