Products
Use cases
Industries
Resources
Company
AI enhances multilingual document review by normalizing data with robust translation capabilities. It also lets you handle files in several languages from a single dashboard, cutting eDiscovery timelines and streamlining subpoena processes.
According to GPTZero, 82% of companies are exploring AI usage within their enterprise. Nine in ten organizations cite AI as a critical tool for keeping a leg up over their competitors.
Here, we'll discuss why those corporate leaders are 100% correct, especially for legal executives and law firms in Europe, the Middle East, and Asia (EMEA) countries. Read on for some facts about multilingual document management and why this investigation technology can streamline eDiscovery processes regardless of your jurisdiction.
A multilingual document is also called a multi-language document. This is because the file is linked to a multi-language form that lets the user generate its text in any language.
The aim is to generate the same document several times in the many languages that employees and clients may speak. If you have an English document but clients from France and China, you can seamlessly translate it into both French and Mandarin. Then, you can submit it to the recipient in their own language for accessibility.
Before reviewing a multilingual document, you'll need to first figure out your specific multilingual needs. Determine the languages you need to handle. Look into what data types the files are; written PDFs and audio files will have different review processes.
Then, find an AI document review platform that has lots of multilingual capabilities. This means ensuring that it has:
Produce the file in all the languages that your FOIA request or subpoena order specifies. If there isn't a language specified, normalize the data by translating it into your company's main language.
EMEA countries will all primarily handle different languages. Iranian legal teams may normalize files into Farsi, while a Netherlands firm might need to get everything into Dutch.
From there, multilingual document review is exactly like reviewing single-language documents. You take it through four core steps:
AI can assist you with every step in this process, so you don't need to contend with each step individually.
AI eDiscovery platforms are the future of document review. This cloud-based eDiscovery technology lets anyone review documents easily with an all-in-one dashboard that pulls data from sources like Microsoft 365 and Google Drive. It also integrates messages from Slack and email, as well as files stored in Dropbox.
The best connectors also allow powerful integrations from other applications in EMEA countries as well as custom-made apps for individual businesses!
EMEA AI solutions let you integrate this data into one location. Then, the software:
Since Bizdatareports that AI cuts document review times by 70% while decreasing costs, there's a proven track record of AI's link with effective and efficient eDiscovery processes.
There are several reasons modern eDiscovery platforms stand out in terms of document processing and review, with affordability often being a key advantage. Many technologies in this space-especially those offering robust language capabilities-remain out of reach financially for many regions.
The goal of democratizing discovery processes is increasingly becoming a priority. Transparent pricing models, including clear quotes and no hidden fees, along with options for unlimited storage on both monthly and annual plans, make these platforms more accessible.
In addition to cost, user-friendliness is another major benefit. Reviews from Software Finder note that our AI-driven technology is great for managing eDiscovery in large cases.
Smaller organizations, in particular, have found that they now have access to tools and workflows that were previously unavailable to them. This shift has also made transitioning to paperless discovery more practical and efficient.
This accessibility is often due to expanded functionality. Features like drag-and-drop interfaces allow users to manage case files and assign roles without any coding experience. Additionally, powerful and intuitive search capabilities make it easier to work with multilingual documents across a wide range of cases.
Every EMEA country has its own rules and regulations governing data.
For example, the EU has implemented the General Data Protection Regulation (GDPR). This single data privacy rule brings multiple standards together to protect ESI with strong, clear rules for businesses.
On the flip side, the Middle East and Asia have different eDiscovery standards from country to country. The fragmented legal requirements meant that you need a specialized eDiscovery software made to meet specific EMEA standards.
Ultimately, these AI-driven technologies:
This decreases the likelihood that you'll be hit with noncompliance fines that could be detrimental to your business.
Multilingual document review can be challenging for EMEA companies that work in several different languages. However, AI-powered eDiscovery tools streamline the process and make organizing files far simpler.
If you want to reap these benefits, schedule a demo of our cutting-edge, AI-driven technology to learn more about what we can do.