Electronic discovery and artificial intelligence have gone hand in hand for at least the past decade. AI has improved ...
Electronic discovery and artificial intelligence have gone hand in hand for at least the past decade. AI has improved and widened its capabilities during this time, which is great news for legal experts. Discovery is such a complex and tedious process to complete manually, so eDiscovery and AI crossing paths has brought a wealth of benefits to the office. What exactly do you need to know before investing in new software or migrating to the cloud?
Use of AI-powered apps for eDiscovery processes help speed up the process, but security and licensing agreements should be considered.
AI-driven search engines can quickly and accurately comb through large amounts of data, improving the eDiscovery process by automating document organization and data analysis.
Microsoft's focus on AI technology has led to most of its newest investments being cloud-based, meaning legal professionals may need to consider upgrading their IT infrastructure to access full eDiscovery and AI capabilities.
1. Apps Bring eDiscovery and AI togetherArtificial intelligence and open-source software have made it easy for almost anyone to create apps. Companies have jumped on this trend to develop proprietary solutions for business operations. Professionals have found that no-code and low-code apps are key tools for expediting essential functions such as eDiscovery. These apps rely on machine learning to prompt the steps and information you need without requiring learning to code.
Legal professionals who use these resources may need to consider the use agreements for these app development platforms. What are the licensing fees or contracts? Can they use them for money-making ventures? How secure are these apps for handling sensitive client data? Hackers breached tens of thousands of records in 2022, so law firms should not take this threat lightly.
AI-driven photo editing applications can detect and automatically fill in missing areas of photographs. This technology, dubbed Dall.E 2, has many potential uses for case reviews, eDiscovery and AI. For instance, attorneys could use the application to reconstruct a scene or action that's taken place. This can have a powerful impact during court proceedings.
The app can guess what should go into the gaps left by missing information or poor-quality images to create a better understanding of what happened. This would be useful when reviewing visual evidence and other materials for legal cases. Courts need to review metadata carefully to ensure shady characters do not present doctored images as evidence.
Professionals caution against using this chatbot for essential applications, such as legal work. The chatbot can predict the next word in a sentence or create several sentences of text. It can even write poetry. However, it can also spew total nonsense and does not know how to fact-check itself.
OpenAI created the bot based on what it calls the GPT-3.5 model. This means the bot can take natural language and generate answers, regardless of the context. ChatGPT is still in its early stages but could offer an excellent opportunity for professionals who want to use eDiscovery and AI tools to simplify communication with clients and colleagues.
In short, ChatGPT may serve as yet another form of predictive texting when generating emails during correspondences related to eDiscovery requests. Predictive responses already exist on many devices or as built-in email functionalities, such as on Android Messages and Gmail.
AI-driven search engines can comb through large amounts of data quickly and accurately. This technology benefits eDiscovery processes because it allows attorneys to find relevant information faster. AI also helps legal teams prioritize what documents should be reviewed first, thus making the eDiscovery process more efficient.
AI search engines are usually cloud-based and allow users to search for keywords or metadata more accurately than manual search techniques. These applications use various methods to make searches more accurate, such as natural language processing, deep learning algorithms, semantic analysis, and machine learning models.
As these platforms become increasingly advanced, they can improve eDiscovery processes significantly by automating mundane tasks such as document organization, document classification, and data analysis. Professionals can save a lot of time and energy using eDiscovery and AI, allowing them to focus on more pressing matters related to the case.
Efficiency is key to successful case management; workflow automation tools are an excellent option for a law firm looking to streamline its processes. These tools can help attorneys automate specific tasks involved in eDiscovery, such as document organization, document review, and data analysis.
The benefits of using these types of tools include the following:
AI-driven eDiscovery platforms offer the potential for greater efficiency for legal teams by eliminating mundane tasks and providing improved visibility into cases. In addition, these platforms can help reduce eDiscovery costs by providing a more comprehensive view of the case.
Microsoft Purview is a cost-effective eDiscovery solution that helps attorneys search and analyze large amounts of data in multiple formats. Some 365 users can access basic functions at no additional cost.
Microsoft Purview also offers predictive coding capabilities for eDiscovery, which uses machine learning algorithms to identify document patterns and prioritize the most critical materials for review. This is a premium feature, so free users may need to consider upgrading to gain access.
Artificial intelligence has become an increasingly heavy focus for Microsoft. Like most of its newest investments, this technology works best in the cloud. Some features of Microsoft Purview are also only available to business-level 365 subscribers. Consequently, legal professionals may need to consider migrating to the cloud or upgrading their existing IT infrastructure.
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