No matter what you are doing now, you are taking a little assistance from AI. It seems like a far-fetched reality, but AI is integrated into everyone’s life quite deeply by now. The searches you make on Google, your custom recommendation on Youtube, targeted ads, social media feeds, AI and a well-structured algorithm assist other such things. Another use case of AI is using it for Ediscovery for litigation purposes. Earlier litigators took advantage of Technology-assisted review to review documents with the help of machine learning algorithms. But, AI is taking the digitization of legal records and discovery a step further. Ediscovery AI is helping lawyers streamline their process and enabling the legal teams to make quick strategic decisions without wasting any time. Here are some of how AI is transforming Ediscovery.
- Better Understanding
It enables the litigators to understand all the discovery resources at hand better. The AI provides a brief and profound insight that helps understand all the resources you have to fight the case. Understanding the information available helps speed up the eDiscovery process from the initial stages.
- Improves document reviews
Multiple teams must review every document used in a case for any questions or findings that may highlight the lawsuit.
So, with AI, the review process becomes more manageable, which helps the legal teams to present their findings from the whole review process efficiently.
- Improves the efficiency
The industry functions on billable hours, so lawyers must maintain utmost efficiency.
With eDiscovery and AI, lawyers can quickly and efficiently review the documents to get an insight into the case. Through the discovery process, they can use AI to identify some key aspects of the lawsuit.
These insights lay a base for the legal teams to devise their strategies.
It takes a lot less time for the legal team to grasp the case from the discovery when they are taking the help of AI discovery tools.
- It helps identify critical areas of focus.
AI helps the legal team identify the key focus areas in a case through the discovery documents. It takes it further from what could have been possible with essential research tools.
If the legal team is assessing one document, the AI can recommend other similar or related documents to them. Moreover, it can recommend records that match or have the same utility as those chosen by the opposite legal team.
- Dynamic and ever-evolving
Unlike other algorithms and software AI is not stagnant as it has features that enable it to learn and improve.
The more data is processed through the AI software, the better understanding it will have and the more efficiently it will be able to perform.
It will be able to understand what the legal teams are looking for and might be able to recommend the pertinent documents they were looking for.
Furthermore, it not just enables the legal team to make quick decisions but helps make better decisions as well.
AI has infiltrated the legal industry for a while, but the changes it has brought are pretty monumental. Only time will tell how much better AI will make the legal process.