PIOVRA AI LAW LLP AI‑LIT

When Autonomous AI Causes Harm, Who Pays?

AI‑LIT | AI Legal Implications Table-Tops

A 4.5-hour, attorney-informed tabletop exercise. Face an AI adoption crisis, examine the documents behind your decisions, and test what happens when insurance, liability, and business survival are on the line.

Public AI-LITOnline
Cyber-trained attorneys at the table, live
Dec 1
Tuesday, December 1, 2026
12:30–5:00 p.m. Eastern
Schedule a discovery call

When Autonomous AI Causes Harm, Who Pays?

AI‑LIT | AI Legal Implications Table-Tops

A 4.5-hour, attorney-informed tabletop exercise. Face an AI adoption crisis, examine the documents behind your decisions, and test what happens when insurance, liability, and business survival are on the line.

Public AI-LITOnline
Cyber-trained attorneys at the table, live
Dec 1
Tuesday, December 1, 2026
12:30–5:00 p.m. Eastern
Schedule a discovery call

AI‑LIT | AI Legal Implications Table-Tops

Public half-day TTX

Overview

An executive AI tabletop exercise with a liability lens, run with a practicing attorney at the table. This half-day session puts your leadership team in the seats, making decisions in rounds, so you walk out knowing which controls are yours to carry and what it costs when you don't.

Session details

When
Tuesday, December 1, 2026, 12:30 to 5:00 p.m. Eastern
Where
Live online
Format
Half-day session, four and a half hours
Who sits at the table
CEO or ED, CFO, CISO, communications, legal
Facilitated by
Khadijah Ali

Agenda

  1. 01Orientation
  2. 02Seat assignments
  3. 03Team preparation
  4. 04Decision rounds
  5. 05Break
  6. 06Decision rounds continue
  7. 07Evaluation
  8. 08Lessons learned

Rounds are timed.

Schedule a discovery call

How the Engagement Works

1. Onboarding.

We set up the engagement.

2. Current-state assessment.

We learn where your company stands today.

3. AI-LIT baseline.

Your board and executives see where they stand before governance is written.

4. Governance (re)written together.

Counsel reviews each AI use before it goes live, and your policies, procedures, and plans are built as you adopt, aligned to the NIST AI RMF, with vendor contracts reviewed.

5. AI-LIT again.

Counsel sees how your leadership works through the decisions now that the governance is in place.

Both AI-LIT sessions run under attorney-client privilege.

What You'll Do

In guided rounds, you will:

Most tabletops test the technical fix. AI‑LIT tests the decisions that land on senior leadership: what you approve, sign, disclose and say, and how you answer regulators, insurers, law enforcement, opposing counsel and contractors.

Make the Call. Face the Consequences.

An AI system causes harm. Claims follow. Your leadership team must respond while operations, money, and legal exposure are at stake.

  • Decide what to do as the crisis escalates.

  • Confront questions raised by contracts, insurance, and governance records.

  • Weigh what to fund, who to involve, and what to preserve.

  • Hear an attorney challenge assumptions that may not survive scrutiny.

This is a decision exercise, not a lecture.

How the Exercise Works

Brief. Decide. Defend. Debrief.

Receive the situation and your role.

Make choices with limited time and competing demands.

Explain your reasoning as new legal and business pressures emerge.

Examine what you missed, what you assumed, and what needs attention next.

Experience AI-LIT firsthand, without putting your own incident response playbook on the table.

Why an Attorney Is in the Room

Legal Is Not the Handoff.

In many tabletop exercises, someone says, “Call legal,” and the scenario moves on.

Here, the legal questions stay in the room.

An experienced trial attorney challenges how decisions may be viewed by opposing counsel, what obligations the documents actually create, and where a compliance checkbox may fail to establish defensible conduct.

The point is not to predict a verdict. It is to experience the questions leadership should have asked before the crisis.

Fire extinguisher in a glass case on a boardroom wall
Stacks of cash on a marble boardroom table

What You'll Take Back

Three Questions. Real Stakes.

Am I liable?

If your organization deploys someone else's AI, where might accountability still land?

Am I covered?

What could a policy, exclusion, or unmet condition mean when a claim arrives?

Can we survive?

How do litigation costs, disruption, and crisis spending strain the business over time?

And one decision you can act on:

Build or hire?

Identify which legal and security capabilities your organization may need internally and which may require outside professionals.

Leave knowing which roles belong in the response, which documents warrant closer review, and which questions to bring back to leadership. This is education, not an individual legal opinion, insurance determination, or organizational assessment.

What your leaders walk out with

  1. A

    Spot the issues through two lenses at once: risk and liability.

  2. B

    Know where each role's authority ends, and who owns what.

  3. C

    Know when legal belongs in the room. Usually earlier than anyone thinks.

  4. D

    See how budget sets the defense you can actually afford.

  5. E

    Read a vendor contract for the exposure it creates years later.

  6. F

    Map the handoffs before the incident, not during.

Find your gaps, then decide: build the strength in-house, or bring it in.

Who Should Attend

The People Who Must Make the Call.

Board members and executives:

Test the questions behind fiduciary oversight and AI adoption decisions.

CISOs and GRC leaders:

Learn to connect controls and security spending to liability, legal constraints, and resilience.

Attorneys entering AI governance:

See where your legal skills add value, where cybersecurity specialists fit, and what you need to learn next.

Corporate evaluators:

Experience the format before recommending a private leadership exercise.

Meet Your Facilitators

Legal Judgment Meets Crisis Leadership.

Khadijah Ali

Partner, Piovra AI Law LLP

A Washington, D.C. attorney with more than 30 years of legal experience, including trial practice. At Piovra, she leads the legal analysis of AI governance, legal exposure, and controls, in collaboration with cybersecurity specialists who address threat modeling and security architecture.

Format
Public half-day TTX
Duration
4.5 hours
Date
Tuesday, December 1, 2026
Time
12:30–5:00 p.m. Eastern
Where
Live online
Includes
Pre-read, exercise materials, guided simulation, lessons-learned debrief, certificate of completion
Facilitators
Khadijah Ali
Report
Written evaluations and a report for leadership, on request

Real

Stakes

Schedule a discovery call $2,995 per participant

Registration

Experience AI‑LIT for Yourself.

Includes a short pre-read, exercise materials, guided simulation, lessons-learned debrief, and certificate of completion.

Page one of the Piovra AI-LIT datasheet

Need approval?

The AI‑LIT Datasheet

A two-page brief to forward to your leadership: how a private AI-LIT engagement works, what your leaders walk out with, and who leads it.

Download the datasheet (PDF)

Common Questions

Before You Register

Select a question to open the answer

Do I need technical experience?

No technical prerequisite. You'll receive a short pre-read.

Will we review real documents?

You'll work with realistic business and legal materials selected for the exercise. This is not a review of your organization's contracts or insurance.

Is this legal advice?

The public session is educational and does not create an attorney-client relationship. A private AI-LIT runs inside a legal engagement with Piovra AI Law LLP, under attorney-client privilege.

Can my organization register a group?

Ask about group registration and invoicing through the registration form.

What if plans change?

See Registration Terms for cancellations, transfers, and substitutions.

Enterprise

Private AI‑LIT for Your Company

A private AI-LIT brings the full one-day exercise to your company, run by Piovra AI Law LLP inside a legal engagement, under attorney-client privilege.

Your IT team handles the AI incident. Your board and executives handle what comes next. It’s practice, not an audit. You choose whether the scenario uses your own policies or a case built for your market.

Schedule a discovery call
Schedule a discovery call