Toll free1800 1020 418Fees & syllabus ↗APPLIED AI · LIVE ONLINE · FOUR-WEEK PROGRAM
Review SaaS, data-processing and AI-vendor terms with AI, then produce a checked data-use matrix, risk register and negotiation pack.
Ideal for: technology and privacy lawyers, in-house product counsel, procurement legal teams and SaaS or AI vendor-review professionals.
Entry requirement: Experience reviewing commercial or technology agreements; basic familiarity with data-protection concepts. No coding required.
Two 90-minute live sessions weekly. Fees, dates and tool access confirmed before enrolment.
WHO THIS PROGRAM IS FOR
technology and privacy lawyers, in-house product counsel, procurement legal teams and SaaS or AI vendor-review professionals.
You will produce: Data-flow questions, document index and source-linked term map → Data-use matrix and privacy clarification register → Vendor risk register, redline and negotiation brief → Final technology procurement review pack and verification log.
Scope: Indian-customer technology procurement with supplied reference materials. Foreign-law and sector-specific compliance conclusions require qualified review; this is not a privacy certification.
SAMPLE SYLLABUS EXERCISE
Illustrative fictional example; not legal advice.
Marketing says no training on customer inputs, but the supplied agreement does not contain that commitment.
Record the gap, request binding wording and verify the applicable policy version before recommending acceptance.
Keep the document reference and exact wording beside every finding. Mark missing evidence as missing.
PROGRAM SYLLABUS · FOUR WEEKS
Two 90-minute live sessions per week, eight sessions and 12 live hours total.
Three hours of independent practice per week, 12 additional hours total. Extra review sessions are separate.
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Data-flow questions, document index and source-linked term map
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Data-use matrix and privacy clarification register
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Vendor risk register, redline and negotiation brief
Applied AI practice: extract the source first, structure the findings, challenge omissions and verify the result against original records.
Final technology procurement review pack and verification log
PRACTICAL PROJECTS
Data-flow questions, document index and source-linked term map. Use fictional records, retain source references and hand over unresolved questions.
Data-use matrix and privacy clarification register. Use fictional records, retain source references and hand over unresolved questions.
Final technology procurement review pack and verification log. Use fictional records, retain source references and hand over unresolved questions.
ASSESSMENT & TAKEAWAYS
Source accuracy 25% · issue detection 25% · fit to instructions 20% · reasoned next steps 20% · handover clarity 10%.
Final work uses a fresh fictional matter with planted errors. Correct fabricated references, unsupported conclusions and unmarked assumptions before completion. Track omissions and correction effort alongside time.
Keep your extraction instructions, matrices, review notes and verification checklist as a reusable practice pack.
APPLIED AI TOOL STACK
(A task-based mix will be selected for the cohort; every listed platform is not covered. Hands-on access, demonstrations and extra subscription costs are confirmed before enrolment.)
Policy comparison, data-use extraction, risk registers and technology-contract drafting. Use approved accounts and fictional material; check extraction quality and source references.
Editable review notes, matrices and handover documents. Verify legal propositions against current official materials and suitable research databases. Participants confirm their software access.
Enterprise legal AI may be compared or demonstrated only when access is secured. No enterprise subscription, integration or vendor affiliation is promised.
FACULTY & YOUR COHORT
The faculty profile combines relevant legal-practice experience with hands-on AI use for this program’s document work. Teaching centres on legal judgment, live demonstrations, source checking and feedback on participant submissions.
Trainer names are not published on this page. Request the faculty background and session details when discussing your cohort. Teams may enquire about a separately scoped workshop.
COURSE FAQs
Designed for technology and privacy lawyers, in-house product counsel, procurement legal teams and SaaS or AI vendor-review professionals. Experience reviewing commercial or technology agreements; basic familiarity with data-protection concepts. No coding is required.
Four weeks, with two 90-minute live sessions each week: eight sessions and 12 live training hours. Allow 12 additional hours of independent practice. Any extra review session is scheduled separately and excluded from live training hours.
The core contract course teaches general commercial playbooks. This track concentrates on SaaS, DPAs, data use, model-training terms and AI vendor procurement.
Yes. Exercises use fictional document packs. Client documents are not required. Workplace use requires approved tools, permissions and confidentiality controls.
A task-based mix of Claude or ChatGPT, Word, Excel and legal research platforms is selected for each cohort. Hands-on access, any trainer-only demonstrations and additional subscription costs are confirmed before enrolment. Enterprise licences are not promised.
Indian-customer technology procurement with supplied reference materials. Foreign-law and sector-specific compliance conclusions require qualified review; this is not a privacy certification. Research tasks use dated official references and lawyer checking; AI text is not an authority.
The faculty profile combines relevant legal-practice experience with applied AI workflows and feedback on legal work. Trainer names are not displayed; request the faculty background, fees, tool access and cohort schedule before enrolment.
Submit Final technology procurement review pack and verification log. Assessment covers source accuracy, issue detection, fit to instructions, reasoned next steps and handover clarity. Invented wording, invented authorities and unmarked assumptions must be corrected. Completion is based on assessed work; no bar credit or legal qualification is promised.
Curriculum version 1.0 · 3 November 2026. Legal references and tool access are checked for the cohort.
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