Discover the risks associated with AI and how legal teams can mitigate these to embrace and use AI safely in 2023.
Artificial Intelligence (AI) is undoubtedly a powerful tool with huge potential. However, like any powerful tool, AI has its risks.
Fortunately, the benefits will far outweigh the risks, but only if they can manage the risks responsibly and adhere to AI regulations and ethics.
Legal teams play a crucial role in mitigating the risks of AI and ensuring that AI deployment is responsible, compliant, and safe.
In this article, we’ll explore the potential risks of AI and how legal teams can proactively safeguard against them.
What are the main AI risks for lawyers?
1. AI hallucinations
One risk of AI is the possibility of it hallucinating. AI hallucinations occur when the AI generates incorrect or misleading information.
You have to remember that generative AI is probabilistic - in other words, it’ll give you the statistically most likely output based on its training data and the model it’s using - Michael Haynes, General Counsel, Juro
If left unchecked, these errors can have far-reaching consequences, affecting decision-making and potentially damaging a company’s reputation.
That’s why it’s important for AI to add to your expertise, not replace it. This is especially important in complex, highly regulated professions with a low risk appetite. To mitigate this AI risk, the outputs should always be checked thoroughly and verified by professionals before being used.
2. Algorithmic bias and discrimination
Algorithmic bias is another key risk of AI for lawyers to mitigate. This can occur when the data used to train or design AI is biased. This AI risk can also occur when the data used is incomplete or insufficient.
For example, research by The Brookings Institution highlights instances where algorithmic bias has been observed in online recruitment tools, online ads, facial recognition technology, and even criminal justice algorithms.
The result of this AI risk is that individuals or groups within society are discriminated against based on the algorithm’s output.
To mitigate this risk, you should always make sure that the AI assistant or tool you’re using has been trained properly using complete and unbiased data.
3. Breach of Confidentiality
AI often requires access to vast amounts of data, including personal information, to function effectively. However, this poses a risk of breaching confidentiality if data is mishandled, shared improperly, or used inappropriately during AI training.
This is a huge legal risk of using AI, so it’s important for legal teams to do two things:
- Define if, how, and when specific types of data can be fed to AI platforms
- Only use AI solutions that you can trust to comply with ethical and legal restrictions
We’ll cover how you can achieve both of these things in more detail shortly.
How can legal teams safeguard against AI risks in 2023?
To mitigate the risks associated with AI effectively, legal teams need to be proactive about the measures they put in place. Let’s run through what these proactive measures look like in practice, and how they can help to reduce AI risks faced by lawyers.
1. Establish clear rules and guidelines for use
Developing a detailed playbook that outlines how AI can be used within the organization is crucial. This playbook should encompass guidelines on data usage, privacy, compliance with regulations, and ethical considerations.
It should also align with existing organizational policies and legal frameworks, especially those surrounding data protection and confidentiality.
In fact, it’s worth creating a separate policy on how data can be used in AI tools like ChatGPT. This should outline clearly:
- Which types and categories of data can be fed into generative AI tools (and which can’t)
- When to escalate requests and potential AI use cases to legal for approval
- Which privacy and security precautions must be followed when using AI tools
- The consequences of failing to comply with the rules set out
AI needs to be fed data in order to generate new content. To avoid confidentiality breaches, users should understand the types of data they should and shouldn’t input into an AI-enabled tool - Michael Haynes, General Counsel, Juro
2. Ensure outputs are reviewed thoroughly
Human oversight is essential when it comes to ensuring the accuracy and reliability of AI-generated outputs. This isn’t too different from reviewing the work of more junior team members, for example.
Establishing a review process where trained individuals verify and fact-check AI-generated content can significantly reduce the risk of erroneous information being passed on or published.
I like to think of AI Assistant less like a reference tool, and more like having a capable (but fallible) trainee lawyer in my team - Michael Haynes, General Counsel, Juro
This is useful for projects that involve a lot of low-value, time-consuming admin tasks, like contract management. Even when you dedicate time to reviewing the outputs, it’s still much faster (and more efficient) than taking a manual approach.
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