Artificial Intelligence is becoming a normal part of how legal teams review documents. It speeds up work, lowers costs, and helps people find important facts faster. But with all the benefits, one big expectation has emerged: transparency. Courts and clients now want to understand exactly how AI was used during a review.
This isn’t about making things complicated. It’s about trust. When people understand how decisions were made, they feel more confident in the results. In this newsletter, we break down what AI transparency really means for legal teams, why it matters, and how firms can document their workflows without feeling overwhelmed.
What Courts and Clients Want to Understand
The rise of AI has created a shift in expectations. Judges and clients know that AI tools can sort through large amounts of information quickly. But they also know that AI is not magic, and it’s not perfect. Because of that, they’re asking firms to share—openly—how AI was used in the review process.
This includes simple questions like:
What did the AI tool do?
What did human reviewers do?
How were decisions checked and confirmed?
What steps were taken to make sure the process was fair?
These questions aren’t meant to slow down the work.
They’re meant to ensure that AI is being used responsibly and that the results can be trusted. Courts want to feel confident that no important information was missed. Clients want to know their data is being handled carefully. And legal teams want to show that they followed a clear and defensible process.
Transparency doesn’t mean sharing every line of code or every internal setting. It simply means offering a clear explanation that someone outside the project can understand. The goal is clarity, not complexity.
How Firms Can Document Their Workflows
One of the biggest challenges firms face is figuring out how much documentation is enough. The good news is that transparency is easier to achieve than many teams realize.
A strong workflow shows three things:
1. Fairness
Reviewers should be able to show that the AI was not making decisions on biased or incomplete data. This can be done by explaining how the training documents were selected and how the initial decisions were checked.
2. Defensibility
If a judge or opposing counsel asks how the review was handled, the team should be able to walk them through the steps. This doesn’t have to be technical—it can be a simple outline of the process, including who made the final decisions and how disagreements were resolved.
3. Accuracy
Accuracy comes from reviewing how the AI performed throughout the project. Many teams track this by noting how often humans agreed or disagreed with the AI’s suggestions. When teams show that they were actively monitoring the results, it builds confidence in the outcome.
A clear workflow is not about creating more work. It’s about creating a record that protects the team and helps everyone understand what happened. It also shows clients that their information was handled with care, which goes a long way in today’s environment.
Closing
AI is changing the future of document review, but trust will always be the foundation of legal work. When firms explain how they use AI—and show that people remain in control of the key decisions—they create stronger relationships with clients and protect themselves in court.
If your team needs help building or reviewing a transparent, defensible workflow, Sovereign Discovery is here to support you. We guide firms through the entire process with clarity, fairness, and accuracy at the center.