Explain why generative AI tools can produce fabricated case citations, statutes or contract clauses with confident phrasing.
Law & Contract Management
Verifying Generative AI Output in Legal Research and Contract Drafting
Trains lawyers and paralegals to verify generative AI output used in legal research and contract drafting, and to build firm-wide controls against fabricated citations.
🗓️Duration5 training days
📚Content4 modules · 8 sessions
🎓On completionAccredited attendance certificate
About the programme
Course Overview
Courts in several jurisdictions have now sanctioned lawyers for filing submissions that cited cases a generative AI tool invented, complete with confident case names, citations and quotations that simply do not exist. The underlying technology predicts plausible text rather than retrieving verified fact, which means fluent, well-formatted output can still be wrong in ways a rushed reviewer will miss. This course builds the verification discipline a legal team needs to use these tools safely: tracing every AI-suggested authority to a primary source, checking AI-drafted clauses against firm precedent and the client's actual risk position, and recognising confidentiality and privilege risk before client information goes into a drafting tool. Participants also draft a firm or in-house AI use policy covering approved tools and mandatory review steps, and build the audit trail that lets a supervising partner or general counsel show, after the fact, exactly what was verified and by whom.
Expected Learning Outcomes
Design a citation verification step that checks every AI-suggested authority against a primary source before filing.
Assess confidentiality and privilege risk before entering client information into a generative AI drafting tool.
Review an AI-drafted contract clause against firm precedent and the client's risk position before use.
Draft a firm or in-house AI use policy covering approved tools, permitted uses and mandatory review steps.
Train lawyers and paralegals to recognise plausible-sounding but unsupported AI legal reasoning.
Build an audit trail documenting human review of AI-assisted research and drafting for supervisory purposes.
Who Should Attend
Lawyers and paralegals using AI tools for research or drafting
General counsel setting AI use policy for an in-house legal team
Law firm risk and knowledge management partners
Legal operations managers selecting and deploying legal AI tools
Litigation support staff preparing court filings drafted with AI assistance
Compliance officers auditing AI use against professional conduct rules
Course Modules
Select any module to see its sessions and points.
01How Generative AI Fails in Legal Contexts
2 sessions · 8 points
Session 1Understanding Model Behaviour and Fabrication
- Explain in plain terms how a language model predicts plausible text rather than retrieving verified facts.
- Identify why case citations, statute numbers and quotations are common sources of confident fabrication.
- Compare general-purpose models with legal-specific tools that ground answers in a curated case database.
- Assess the limits of a model's training cut-off date for identifying recent legislative or case law changes.
Session 2Documented Failures and Professional Consequences
- Review anonymised examples of fabricated citations reaching court filings and the sanctions that followed.
- Explain the professional conduct duties engaged when a lawyer files unverified AI-generated content.
- Assess supervisory duties owed by senior lawyers reviewing work prepared with AI assistance by juniors.
- Identify disclosure obligations some courts now impose regarding AI use in submitted documents.
02Verifying AI-Assisted Legal Research
2 sessions · 8 points
Session 1Citation and Authority Verification
- Build a checklist that traces every cited case, statute or regulation to a primary, current source.
- Cross-check AI-suggested legal propositions against a reputable case law or legislative database.
- Detect subtly altered quotations where wording has been paraphrased but attributed as a direct quote.
- Flag jurisdiction mismatches where AI output blends rules from different legal systems inaccurately.
Session 2Structuring a Defensible Research Workflow
- Separate AI-generated first-pass research from the verified research memo delivered to a client or partner.
- Record which sections of a research output were AI-assisted and which were independently verified.
- Set escalation rules requiring a second reviewer for AI-assisted research used in a filed document.
- Maintain a log of verification failures to identify tools or query patterns that need closer supervision.
03Reviewing AI-Drafted Contracts and Clauses
2 sessions · 8 points
Session 1Clause-Level Review Against Precedent
- Compare an AI-drafted clause against the firm's approved precedent language for consistency and risk allocation.
- Identify AI-drafted terms that omit a jurisdiction-specific requirement a human drafter would have included.
- Check defined terms and cross-references generated by AI for internal consistency across a long contract.
- Assess AI-suggested boilerplate for compatibility with the governing law and dispute resolution clause chosen.
Session 2Negotiation and Client Risk Alignment
- Verify that AI-suggested fallback positions match the client's actual risk appetite and commercial priorities.
- Review AI-generated redlines against a counterparty's draft for accuracy of tracked changes and comments.
- Assess whether an AI drafting tool has introduced language inconsistent with a signed term sheet or mandate.
- Confirm that a final AI-assisted draft has been read in full by a qualified lawyer before execution.
04Governance, Confidentiality and Firm-Wide Controls
2 sessions · 8 points
Session 1Confidentiality, Privilege and Data Handling
- Assess whether inputting client information into a public generative AI tool risks a confidentiality breach.
- Review vendor terms for data retention, training use and access controls before approving a legal AI tool.
- Apply privilege-preserving practices when using AI to summarise or analyse privileged investigation material.
- Advise clients on disclosure of AI tool use where required by engagement terms or professional rules.
Session 2Policy, Training and Ongoing Audit
- Draft an AI use policy specifying approved tools, permitted tasks and mandatory human verification steps.
- Deliver training that uses real fabrication examples to build habitual scepticism toward AI legal output.
- Set periodic audits sampling AI-assisted work product for undetected verification gaps.
- Update the AI use policy as new tools, model versions and regulatory guidance become available.
What the participant receives
4 course modules
A structured syllabus
8 training sessions
across 5 days
32 detailed points
Applied, detailed content
Accredited attendance certificate
On completing the programme
Complete your registration
We will contact you within one business day to confirm.
Ready to start?
Reserve your seat and start building the skill.