Surprisingly Useful News from the Legal AI Frontier
Issue 26 ยท 22 June 2026
When Regulators Retreat and Courts Push Forward
This issue: the Ninth Circuit turns AI-hallucination sanctions into published, precedential law; Colorado scraps its own AI Act weeks before its deadline was due to bite; and Brussels finalises the rules for labelling AI-generated content, with an August deadline that's closer than it looks. In this week's workshop, a practical look at how to "pre-mortem" your own ideas before you commit to them โ plus a copy-paste prompt to run a full pre-mortem on any decision you're weighing right now.
Ninth Circuit Makes AI-Hallucination Sanctions Precedential Law
In a published opinion in LNU v. Blanche, the Ninth Circuit sanctioned two attorneys $2,500 each after their immigration appeal briefs cited fabricated cases and invented quotes generated by AI. Because the ruling is precedential, the court's reasoning โ that liability attaches the moment counsel signs and files, not when a model drafts โ now binds future cases across the circuit.
Key Insight:
This is no longer a one-off cautionary tale โ it's citable law in one circuit, and other courts are watching. Audit your own verification step this week: require that every externally-filed citation or quote be checked against the primary source before a partner or counsel signs. Build that checkpoint into your matter-management workflow now, rather than after your own hallucination becomes the test case.
Hunton Andrews Kurth / Colorado General Assembly ยท 14 May 2026
Colorado Scraps Its Landmark AI Act Weeks Before the Deadline
Governor Polis signed SB 26-189 on 14 May, repealing the original Colorado AI Act (SB 24-205) before its 30 June impact-assessment deadline ever took effect. The replacement delays the effective date to 1 January 2027 and drops the duty-of-care, risk-management-programme and impact-assessment obligations the original law placed on deployers of high-risk AI.
Key Insight:
If you had a Colorado workstream racing toward 30 June, you can stand it down โ but don't shelve it. The new law still requires consumer notice and a 30-day explanation right when automated tools drive "consequential decisions." Redirect your team this month from impact assessments to mapping which of your systems make those decisions, ahead of 1 January 2027.
European Commission, Digital Strategy ยท June 2026
Brussels Finalises the Code on Labelling AI-Generated Content
The European Commission has published its final Code of Practice on marking and labelling AI-generated content, operationalising Article 50 of the AI Act. Providers must apply machine-readable markers to AI output; deployers must label deepfakes and AI-generated text touching matters of public interest. The transparency rules become applicable on 2 August 2026.
Key Insight:
If your organisation publishes AI-drafted client alerts, marketing copy or public statements, August is closer than it looks. Identify now which outward-facing content streams are AI-assisted and confirm who owns the labelling decision before the obligation bites โ don't wait for the scramble in late July.
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This Week's Workshop
How to Pre-Mortem Your Own Ideas
sometimes what you think is a good idea and your team will tell you is a good idea and your boss thinks is a good idea... needs to be challenged. In this video we'll look at how to do a "pre-mortem" on your ideas to make sure you avoid the obstacles that will get in your way and to avoid being swayed by optimism, confirmation bias or any other bias that might make you blind to risks. As a lawyer this can also be a useful tool to challenge areas outside the narrow legal field. I can think of at least one project that I worked on where the client would have benefited from going through a pre-mortem exercise like this.
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Copy-Paste Ready: The Pre-Mortem Strategic Analysis Prompt
Use this prompt when you want to stress-test a business idea, project, investment, product launch, career move, or strategic decision before committing significant time, money, or reputation. Paste it into Claude, ChatGPT, or any LLM, replace the bracketed idea description, and work through each section:
# PRE-MORTEM STRATEGIC ANALYSIS PROMPT
## ROLE
You are a world-class strategist, risk analyst, behavioural economist, investor, operator, and decision advisor.
Your task is to conduct a comprehensive pre-mortem on the idea described below.
Assume that we are now **3 years in the future** and this initiative has failed, underperformed, or created significant unintended consequences.
Your job is to determine why.
Do not be optimistic.
Do not assume success.
Act as if your reputation depends on identifying the risks and blind spots that others miss.
---
## IDEA TO ANALYSE
[INSERT IDEA HERE]
---
## OUTPUT FORMAT
### 1. Executive Summary
Provide:
* Overall probability of success (0-100%)
* Overall probability of failure (0-100%)
* Confidence level
* Most likely outcome
* Best-case outcome
* Worst-case outcome
---
### 2. The Future Failure Story
Imagine it is three years later.
The project has failed.
Write the story of what happened.
Describe:
* How failure unfolded
* Key events
* Warning signs that were ignored
* Decisions that contributed to failure
* What people said afterwards
Make this realistic and specific.
---
### 3. Failure Modes Analysis
Identify every significant failure mode.
For each failure mode provide:
| Failure Mode | Likelihood | Impact | Early Warning Signs | Root Cause |
| ------------ | ---------- | ------ | ------------------- | ---------- |
Consider:
#### Market Risks
* No real demand
* Market changes
* Economic downturn
* Competitive responses
* Pricing problems
* Customer acquisition costs
#### Execution Risks
* Lack of time
* Skill gaps
* Hiring issues
* Delivery failures
* Technology limitations
* Operational complexity
#### Financial Risks
* Cash flow problems
* Funding shortages
* Cost overruns
* Margin erosion
* Concentration risk
#### Strategic Risks
* Wrong positioning
* Poor business model
* Dependence on a single channel
* Dependence on a single customer
* Dependence on a key individual
#### Personal Risks
* Burnout
* Loss of motivation
* Family pressures
* Health issues
* Distraction from core activities
#### Reputation Risks
* Brand damage
* Client dissatisfaction
* Regulatory scrutiny
* Public criticism
#### Legal & Compliance Risks
* Regulatory changes
* Contractual liabilities
* Data protection issues
* Intellectual property issues
---
### 4. Second-Order Consequences
For each major risk identified:
* What happens next?
* What new problems does that create?
* How do those problems compound?
Identify at least three layers of consequences.
Example:
Problem โ Consequence โ Consequence of Consequence โ Systemic Outcome
---
### 5. Assumption Audit
Identify:
#### Critical Assumptions
List every assumption this idea depends upon.
For each assumption:
| Assumption | Probability True | Evidence Supporting | Evidence Against |
| ---------- | ---------------- | ------------------- | ---------------- |
Highlight:
* Hidden assumptions
* Untested assumptions
* Dangerous assumptions
---
### 6. Blind Spots
What is the founder/decision-maker most likely missing?
Consider:
* Cognitive biases
* Confirmation bias
* Overconfidence
* Survivorship bias
* Optimism bias
* Industry assumptions
* Personal motivations
Identify uncomfortable truths.
---
### 7. Red Team Critique
Assume you are:
* A competitor
* A sceptical investor
* An unhappy customer
* A regulator
* A journalist
Attack the idea from each perspective.
What weaknesses do they expose?
---
### 8. Mitigation Plan
For every major risk:
| Risk | Mitigation | Cost | Difficulty | Expected Risk Reduction |
| ---- | ---------- | ---- | ---------- | ----------------------- |
Rank mitigations by:
1. Highest impact
2. Lowest cost
3. Fastest implementation
---
### 9. Key Decisions To Make Now
What are the most important decisions that should be made before proceeding?
Categorise into:
#### Must Decide Before Starting
#### Must Decide Within 90 Days
#### Must Decide Within 12 Months
For each decision explain:
* Why it matters
* Risks of delaying
* Recommended action
---
### 10. Kill Criteria
Define objective criteria that would justify stopping the project.
For example:
* Revenue below ยฃX after Y months
* Customer acquisition cost above ยฃX
* Failure to achieve milestone X
* Personal time commitment exceeds X
Provide at least 10 kill criteria.
---
### 11. Go / No-Go Recommendation
Based on the analysis:
Choose one:
* Strong Go
* Go
* Go With Conditions
* Pause And Test
* No-Go
Explain:
* Why
* What evidence would change the recommendation
* What should be tested first before committing further resources
---
### 12. Highest-Leverage Next Actions
If I had only 30 days and limited resources:
What are the 10 highest-leverage actions I should take to reduce risk and improve the probability of success?
Rank them in order.
---
## ADDITIONAL INSTRUCTION
Be intellectually honest.
Do not try to make the idea sound good.
Your objective is not encouragement.
Your objective is decision quality.
Identify the risks, assumptions, weaknesses, and uncomfortable truths that intelligent people often overlook.
Focus on what is most likely to matter, not what is easiest to discuss.
> "Think in terms of first-order, second-order, and third-order effects. Quantify risks wherever possible. Distinguish between reversible and irreversible decisions. Highlight any single points of failure and dependencies that could disproportionately affect outcomes."
Want More Prompts & Workflows?
For prompts and more detailed workflows like this one, take a look at our book on AI for legal professionals. Explore step-by-step guides, ready-to-use prompts, and best practices for integrating AI safely into your legal work.