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How eDiscovery managed services can help you stay safe using AI

| Written by Altlaw

Embracing artificial intelligence (AI) is the key to generating unprecedented efficiencies and managing larger caseloads than ever.

However, AI presents compliance risks to legal workflows if not managed correctly. Partnering with an eDiscovery managed services provider can mitigate these risks, allowing you to lean on the expertise of professionals who use these tools daily.

This blog will explore AI's potential for litigation and how eDiscovery managed services can help you leverage its opportunities safely.

 

The potential of AI in the legal industry

Artificial intelligence (AI) is rapidly becoming a vital tool for firms to remain competitive and unlock greater opportunities than ever before. AI has the potential to revolutionise various aspects of litigation and is already making its mark on the industry.

From research and document analysis to contract review, leveraging AI can help legal professionals discover new efficiencies and handle larger caseloads easily.

In eDiscovery, AI-powered tools have become integral to legal workflows, allowing firms to work through more electronically stored information (ESI) than ever.

However, as AI continually expands its impact on litigation, it becomes more necessary for legal professionals to understand AI's potential implications and limitations within the legal industry.

Legal professionals must be aware of the risks associated with AI and take the necessary precautions to implement it safely within their processes.

 

Data security and compliance concerns

Data security is one of the main concerns surrounding AI in the legal industry. AI-powered eDiscovery tools rely on large amounts of data to operate effectively, so protecting sensitive data — especially in the legal sector is essential.

As well as robust security measures, legal professionals must ensure that any AI tools they use comply with relevant regulations. Sensitive information must be protected from unauthorised access or breaches in all stages of eDiscovery, and algorithms and technologies should be compliant to avoid legal or ethical issues.