ABA Model Rule 1.6 in the Age of AI: What "Reasonable Efforts" Means for Legal Tech
2025-12-20
ABA Model Rule 1.6 in the Age of AI: What "Reasonable Efforts" Means for Legal Tech
Quick Answer: ABA Model Rule 1.6(c) requires attorneys to make "reasonable efforts" to protect client confidentiality. For AI billing tools, this means understanding where data is transmitted, who can access it, and whether third-party processing creates privilege waiver risk—not simply relying on vendor security certifications.
Introduction
ABA Model Rule 1.6(c) requires attorneys to "make reasonable efforts to prevent the inadvertent or unauthorized disclosure of, or unauthorized access to, information relating to the representation of a client."
For decades, this meant locking file cabinets and shredding documents.
Today, it means understanding exactly where your AI tools send client data—and whether that transmission creates privilege risk.
The Technology Competence Mandate
In 2012, the ABA added Comment 8 to Model Rule 1.1, requiring attorneys to maintain competence in "the benefits and risks associated with relevant technology."
This isn't optional guidance. It's a professional obligation.
When you use AI billing software that processes client emails on third-party servers, Comment 8 requires you to understand:
- Where that data goes
- Who can access it
- How long it's retained
- Whether it creates privilege waiver risk
"I didn't know" is not a defense.
What Counts as "Reasonable Efforts"?
ABA Formal Opinion 477R (2017) provides guidance on what "reasonable efforts" look like in the context of technology:
Factor 1: Sensitivity of the Information
Family law matters involving custody, criminal defense communications, M&A deal terms—these require heightened protection.
If you're handling sensitive matters and using AI tools that transmit data to third-party clouds, you need to document why that's a reasonable choice.
Factor 2: Likelihood of Disclosure
Cloud-based AI tools create multiple potential disclosure points:
- The vendor's servers
- The AI provider's infrastructure (OpenAI, Azure, Anthropic)
- Backup and disaster recovery systems
- Subpoena exposure in litigation
Each additional party increases disclosure likelihood.
Factor 3: Cost of Safeguards vs. Adverse Consequences
The malpractice claim from a privilege waiver could cost $75,000-$250,000 to defend.
The premium increase could add $3,000-$12,000 annually.
Compare that to the cost difference between cloud AI ($99-150/month) and local AI ($49-299/month).
The math favors caution.
Factor 4: Difficulty of Implementation
"It's too hard to set up" isn't a valid excuse under Rule 1.6.
Modern local AI tools like IntelliBill require minimal technical setup—often just a 20-minute installation on a standard laptop.
The Third-Party Disclosure Problem
Here's where most attorneys get tripped up:
Rule 1.6 protects against unauthorized disclosure. But what if you authorize a vendor to process your data?
When you click "I Agree" on a cloud AI tool's terms of service, you're authorizing data transmission to their servers. Under traditional privilege doctrine, this voluntary disclosure to a third party may waive privilege—even if the vendor promises confidentiality.
The "necessary agent" exception (the Kovel doctrine) may protect some technology vendors. But the exception has limits:
- The vendor must be "necessary" for the representation
- AI billing is arguably convenient, not necessary
- Sub-processors (like OpenAI) add layers of complexity
What "Reasonable Efforts" Look Like in 2025
Based on current ethics guidance and developing case law, here's what reasonable efforts should include:
1. Vendor Due Diligence
Before adopting any AI tool, review:
- Terms of Service (not the marketing page)
- Privacy Policy (especially data retention and third-party sharing)
- Data Processing Agreement (if available)
- Security certifications (SOC 2, ISO 27001—but understand their limits)
2. Data Flow Mapping
Know exactly where client data goes. Ask vendors:
- Where are servers located?
- Do you use third-party AI providers (OpenAI, Azure, Anthropic)?
- What data is retained after processing?
- Can you respond to subpoenas for client data?
3. Client Disclosure
Consider adding technology disclosures to engagement letters:
"Our firm uses technology tools to enhance efficiency, including artificial intelligence software. We select vendors with strong security practices. By signing this engagement letter, you acknowledge this disclosure."
4. Local Processing Alternatives
For matters requiring maximum confidentiality, consider tools that process data locally:
- No third-party cloud transmission
- No subpoena exposure to vendor servers
- Data stays under your direct control
The IntelliBill Approach
We built IntelliBill specifically to satisfy the "reasonable efforts" standard without compromise:
Local Processing: AI runs on your device or your office server. Client data never touches third-party clouds.
No OpenAI/Azure/Anthropic: We use Ollama with Llama models that run entirely locally. No API calls to external AI providers.
Your Infrastructure, Your Control: Even our "hosted" option keeps AI processing isolated to your dedicated instance.
This isn't just marketing—it's the architecture that Rule 1.6 demands.
Action Steps
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Audit your current AI tools. Where does data go? Read the ToS.
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Document your reasoning. If you use cloud AI, document why you believe it satisfies "reasonable efforts."
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Update engagement letters. Disclose AI use to clients.
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Consider local alternatives. For sensitive matters, tools with local processing eliminate third-party risk.
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Download our compliance guide. 18 pages of practical guidance on AI billing and privilege risk.
[Download the Free Guide: The Hidden Privilege Risk in AI Billing Software →]
Conclusion
"Reasonable efforts" isn't a fixed standard—it evolves with technology and client expectations.
In 2025, reasonable efforts means understanding that "SOC 2 certified" and "encrypted in transit" don't address privilege waiver. It means asking vendors hard questions about data flows. And for sensitive matters, it may mean choosing tools that keep data under your direct control.
The attorneys who take this seriously now will avoid the malpractice claims and ethics complaints that are coming for those who don't.
This article is for informational purposes only and does not constitute legal advice. Consult your state bar ethics hotline for jurisdiction-specific guidance.
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