Legal disputes in insurance, workers’ compensation, or personal injury claims are notoriously costly for all parties. According to the National Safety Council, workplace injuries cost Americans $167 billion in 2022. Administrative expenses (including insurance, police, and legal costs) made up nearly a third of this cost at $54.4 billion. In California, workers’ compensation claims settle for an average of $35,000 each, largely due to administrative costs. 

AI-generated medical chronologies and summaries streamline legal processes

As attorneys and legal teams sift through medical documentation, they’ll also need to piece together timelines, extract key evidence, and build out the story, argument, and details of a case. Litigation teams have thousands of pages to sort through before they even tap into their legal expertise. Without the full medical history, lawyers could miss errors, details, or choice insights that might win them the case. Unfortunately, these medical histories are hundreds, if not thousands, of pages long, and key details are easily overlooked. 

So much paperwork squeezes margins for law firms. Paralegals, administrators, or junior attorneys will need to vet documents going into the client portal to make sure they are correctly reviewed, filed, and stored – before ensuring the documents are also labelled, sorted, and summarized before case strategy begins. These professionals usually have higher value work tasks that takes priority, leading to files processed haphazardly according to urgency or deadline – as well as multiple professionals working with the documents in a single file. Legal teams spend dozens (or hundreds) of hours analyzing complex medical histories, sometimes resulting in:

• Inconsistent summaries due to varying expertise among the members of your team
• Missed key details that could impact case outcomes
• Slower case resolution due to missing or incomplete information 

With US lawyers now spending only one third of their workday on billable hours, there has never been a more important time for change as the legal landscape evolves. 

AI is a competitive advantage for legal teams

AI generated medical summaries help streamline the legal process - automatically extracting, organizing, and sorting medical data. Thanks to its ability to sort data at superhuman speed, AI tools excel at pattern recognition – flagging the critical insights and subtle shifts a reviewer may overlook in the raw data.

Using an AI platform is an accurate, and ethical, way to power up your insights when processing medical documents for a claim. With AI-powered medical summaries, details about a file can be flagged, sorted chronologically, and summarized at a glance – so that when it’s time to get into the finer points of legal argument and strategy, your team can surface the documents they need and use them to create the backbone of the case. 

In this way, law firms reduce their own administrative costs, while maximizing the billable time each member of their team spends on the file. As a bonus, AI medical summaries are highly consistent, eliminating the risk of human error and ensuring all key evidence is shared. 

AI helps law firms do more, in less time

Firms who integrate AI into their workflows are in good company. Tools like Technology Assisted Review (TAR) have been shown to be just as reliable as human review when trained correctly, and TAR has been used in the legal field since 2012. 

AI medical summaries help to speed up legal document review, ensure completeness within the file, and protect the accuracy of evidence – making it easy to turn piles of paperwork into documents that legal professionals can find, read, and use.

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