AI in the legal field interests me because I work in Advania’s LegalTech unit. Our main product is the iManage Work platform, which is a market leader in document management for the legal industry. In addition, our offering includes other legal technology solutions.
I will include ChatGPT’s full response at the end of this text, but I’ll start by sharing my own perspective on the answer.
The first thing that caught my attention is that the response lists more disadvantages than benefits. The references are included, as I requested, but the links themselves no longer work. It seems the sources existed when the AI was trained, but since the free version does not update itself with fresh data, the article links have become outdated. This also suggests that the answer may not reflect the very latest developments.
The content of the response appears accurate and reasonable. This highlights an important point: when using such tools, you need to have enough knowledge of the subject to evaluate the correctness of the answer yourself. If you ask about something you do not understand well, you may run into trouble. While it is unlikely that anyone would take legal action over a blog post, the situation could be very different with legally binding documents.
Another observation is that the response includes many elements that fall under the broad category of AI, but not necessarily under generative AI specifically. I explicitly asked about generative AI, but perhaps my question was too vague.
The answer includes topics related to machine learning, data enrichment, and automated analysis, in addition to more generative tasks. This “non-generative” AI has been around for longer, and there are already many established solutions in these areas, along with new tools emerging soon. AI does not have to mean ChatGPT to be useful in the legal field.
The latter part of the response does a good job of describing the challenges related to input data in the legal domain. The data must be accurate, up to date, compliant with access rights, and respectful of privacy requirements. In my view, preparing this kind of high-quality input is much more difficult than actually using the tools.
Finally, an example of how creative AI can be both good and bad. Sometimes even the developers of AI do not fully understand why it produces certain answers. There are also cases where AI demonstrates capabilities its creators did not anticipate. Creativity can be beneficial or problematic, depending on the context.
I also asked the AI to tell me a joke. Do you get it? I certainly don’t!
“Why don’t crocodiles like playing cards?
Because they can’t hold feathers!”
Below is the full response that ChatGPT 3.5 generated to my question about the pros and cons of generative AI in the legal field. ChatGPT also translated this response from English into Finnish. If you are interested in the details, I’m happy to share my prompts and settings from this session.
Advantages and Disadvantages of Generative AI in Legal Practice
Generative AI, while promising in the legal field, comes with its own set of benefits and challenges.
Advantages:
- Efficiency and Speed: Generative AI can analyze vast amounts of legal text, generate documents, and perform legal research much faster than humans, saving valuable time for lawyers.
- Accuracy: AI systems can reduce human error in tasks such as contract analysis and document drafting, improving overall accuracy.
- Cost Reduction: Automating routine tasks can lead to cost savings by reducing the need for extensive manual work.
- Document Customization: AI can generate tailored legal documents that meet specific client needs and requirements.
- E-Discovery: AI-powered e-discovery tools can quickly sift through massive datasets to identify relevant information, streamlining legal processes.
Disadvantages:
- Misinterpretation of Legal Language: Generative AI systems may misunderstand complex legal language, leading to errors in analysis or document creation.
- Data Privacy and Security: Storing sensitive legal data in AI systems introduces privacy and security risks, requiring robust safeguards.
- Bias and Fairness: AI models may inherit biases from training data, potentially leading to biased legal recommendations or decisions.
- Overreliance on AI: Excessive dependence on AI tools may weaken lawyers’ critical thinking and analytical skills.
- Ethical Concerns: The use of AI raises ethical questions, such as accountability for errors and the potential loss of human judgment.
- Regulatory Compliance: AI systems used in legal work must comply with legal and ethical standards, creating regulatory challenges.
- Cost and Accessibility: Implementing AI solutions can be expensive, limiting access for smaller firms or clients with fewer resources.
- Job Disruption: While AI can automate certain tasks, it may also raise concerns about job displacement in the legal sector.
- Lack of Transparency: Many AI systems operate as “black boxes,” making it difficult to explain how decisions are made.
The adoption of generative AI in legal practice offers clear benefits in terms of efficiency and accuracy. However, legal professionals must remain vigilant in addressing challenges such as errors, bias, and ethical considerations. To fully leverage the potential of generative AI, a balance must be struck between automation and human expertise, supported by strong safeguards to minimize risks.
Confidence level: High
Sources: American Bar Association, Lexology
