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Legal · AI Course · LEG-7

Brief Drafting with AI: Structure, Citation, and Review

Where AI genuinely accelerates motion practice — outlining, fact-section assembly, authority organization — and the review gates that keep a filing safe.

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The Short Answer

AI accelerates fact assembly and structure in brief drafting but must never select the authority. ibl.ai runs drafting support inside the firm where you own all the code and the data, with mandatory citation verification before filing — so work product and matter strategy never leave the firm's perimeter.

On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.

The full course design is published below — every module, its objectives and hands-on activity, the capstone, and every source it cites.

What is this course about?

AI helps with brief drafting in specific places and hurts in others. This course separates them: fact sections assembled from the record with pin cites, argument structure and counter-argument anticipation, and organizing authority the attorney selected — while keeping authority selection and the verification gate firmly human.

Who is this course for?

  • Litigation associates and partners
  • Appellate practitioners
  • In-house litigation counsel
  • Legal writing instructors

What do I need before starting?

  • Motion or appellate drafting experience
  • Recommended: Verifying AI Legal Research (LEG-2)

What will I be able to do afterwards?

  • Identify which drafting stages AI genuinely accelerates
  • Assemble fact sections from the record with accurate pin cites
  • Use AI for structure and counter-argument while selecting authority yourself
  • Comply with local rules on formatting and length
  • Operate a verification gate before any filing

What does each module cover?

1

Which drafting stages does AI actually help?

40 min

Separating the stages where AI accelerates from those where it degrades the work.

Objectives

  • Map the drafting process by stage
  • Identify genuine acceleration points
  • Identify where AI makes the brief worse

Topics

Stage mappingAcceleration pointsDegradation risksRealistic expectations

Activity. Map your drafting process and mark each stage by AI suitability.

2

How do you assemble a fact section from the record?

55 min

Building the statement of facts with every assertion pin-cited to the record.

Objectives

  • Assemble facts from a record with accurate pin cites
  • Verify every cite against the source
  • Maintain narrative while staying accurate

Topics

Record assemblyPin cite accuracyVerificationNarrative construction

Activity. Assemble a fact section from a record and verify every pin cite.

3

How do you use AI for argument structure?

45 min

Outlining and organization, where AI helps without touching the substance.

Objectives

  • Generate and evaluate structural options
  • Organize an argument for a specific audience
  • Keep substantive judgment with the attorney

Topics

Structural optionsAudience-aware organizationSubstance boundariesOutline evaluation

Activity. Generate three structural approaches to one argument and choose between them.

4

How do you anticipate counter-arguments?

45 min

Using AI to surface the opposing position, which is where it adds real analytic value.

Objectives

  • Surface counter-arguments systematically
  • Evaluate which merit a response
  • Strengthen the brief against the strongest version

Topics

Counter-argument generationMerit evaluationSteelmanningResponse drafting

Activity. Generate counter-arguments to your own brief and address the strongest.

5

Why must the attorney select the authority?

45 min

Organizing authority the attorney chose, rather than letting the tool choose it.

Objectives

  • Keep authority selection with the attorney
  • Use AI to organize selected authority
  • Detect when the tool has introduced authority

Topics

Selection versus organizationAttorney judgmentIntroduced authority detectionWorkflow controls

Activity. Organize a set of attorney-selected authorities and check nothing was added.

6

How do you comply with local rules?

35 min

Formatting, length, and local requirements checked before filing.

Objectives

  • Check compliance with local rules automatically
  • Handle length limits without gutting the argument
  • Verify formatting requirements

Topics

Local rule complianceLength managementFormattingPre-filing checks

Activity. Build a local rule compliance check for a specific court.

7

What is the pre-filing gate?

40 min

The verification that must pass before anything is filed, under deadline pressure.

Objectives

  • Define the pre-filing verification gate
  • Make it non-bypassable
  • Document verification for each filing

Topics

Pre-filing gateNon-bypassable designVerification recordsDeadline pressure

Activity. Build the gate and attempt to file under simulated deadline pressure.

8

Drafting with the full workflow

60 min

The workshop module: a complete brief drafted through the workflow with the gate enforced.

Objectives

  • Draft a brief using the complete workflow
  • Pass the verification gate
  • Compare quality and time against baseline

Topics

Full workflowGate passageQuality comparisonTime measurement

Activity. Draft a brief through the workflow and compare quality and time against your usual process.

What is the capstone project?

Brief drafted through a verified workflow

Draft a complete brief using the workflow: record-assembled fact section with verified pin cites, AI-supported structure and counter-arguments, attorney-selected authority, local rule compliance, and a non-bypassable pre-filing verification gate.

Deliverable: A filed-quality brief with verification records and a time and quality comparison.

How are learners assessed?

  • Every pin cite verified against the record
  • No authority present that the attorney did not select
  • Gate tested under simulated deadline pressure

What ships with the course?

Facilitator guide

Session-by-session running order, discussion prompts, and the questions that reliably derail a room.

Learner workbook

Exercises, checklists, and the templates each module's activity produces.

Hands-on lab environment

A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots.

Assessment bank

Scenario questions and rubric criteria mapped to each stated learning outcome.

Source bibliography

Every primary regulation and standard cited on this page, linked and dated.

Which AI agents does this course use?

The hands-on modules run against agents already deployable on the ibl.ai platform for legal.

Where does the course material come from?

Every module is grounded in primary sources — the regulation, standard, or research itself, not a summary of it. Each was resolved at authoring time.

Delivery notes

Binding guidance for anyone preparing and delivering this course.

  • Module 5's distinction between selecting and organizing authority is the course's central discipline. A tool that suggests authority is a tool that will suggest a case that does not exist.
  • Module 2's pin cite verification is tedious and essential. Build the lab with a record containing deliberate near-miss cites so verification actually finds something.
  • Module 7's deadline simulation should be genuinely pressured. Gates are bypassed at 11pm the night before filing, and the design must anticipate that moment.
  • The Module 8 comparison must measure quality as well as time. A faster brief that is worse is not a gain, and participants should be prepared to find that.
  • Coordinate with LEG-2 — citation verification is taught there in depth and should be referenced rather than re-taught.

Why run AI training on a platform you own?

You own the course, not a licence to it

Course content, learner data, and the platform run inside your perimeter — you own all the code and the data.

Model-agnostic delivery

Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime.

No per-seat training licences

Usage-based or self-hosted, so cost tracks actual use rather than headcount.

Deploy anywhere

Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools.

Frequently asked questions

What does the Brief Drafting with AI: Structure, Citation, and Review course cover?

AI helps with brief drafting in specific places and hurts in others. This course separates them: fact sections assembled from the record with pin cites, argument structure and counter-argument anticipation, and organizing authority the attorney selected — while keeping authority selection and the verification gate firmly human. It runs 5 hours across 8 modules across 8 modules, at intermediate level, and closes with a capstone: Brief drafted through a verified workflow.

Who should take Brief Drafting with AI: Structure, Citation, and Review?

It is written for Litigation associates and partners, Appellate practitioners, In-house litigation counsel, Legal writing instructors. Prerequisites: Motion or appellate drafting experience; Recommended: Verifying AI Legal Research (LEG-2).

Can we run this course on our own infrastructure?

Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data, submissions, and any material learners upload stay inside your perimeter, which matters for legal teams that cannot send work to a public AI tool.

How do we get access to Brief Drafting with AI: Structure, Citation, and Review?

Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us the group size and timing you need, and whether it should run inside your own perimeter.

How much does AI training for legal cost on ibl.ai?

There is no per-seat pricing — you pay for usage or self-host and pay only for the infrastructure, so a 5,000-person rollout does not cost 5,000 licences. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.

Request access to Brief Drafting with AI: Structure, Citation, and Review

Tell us about your cohort and we will set it up — hosted by ibl.ai, or running against your own deployment, where you own all the code and the data.