Realize the Efficiency of Generative AI with the Latest Releases from Everlaw

Today’s digital age brings with it conveniences never thought possible: video chatting with your family half a world away, streaming algorithms that know what you want to watch before you do, the ability to order practically anything without ever leaving your couch.

While these might seem like tools constructed solely for consumer satisfaction, the technology behind them is the foundation on which real professional breakthroughs have been built. With each new advancement, legal professionals have realized the potential of AI-powered technology to help them gain more time and resources to dedicate toward the work that will make or break their case.

A paralegal who needs a set of documents translated can turn to machine translation for automated foreign language translation in over 100 languages. An associate who is working through the night on their first big case can use writing assistance as a starting point in formulating a first draft of arguments. A senior partner confronted with millions of documents can utilize clustering to gather valuable insights across millions of documents to find connections between parties and see the big picture amidst a sea of data.

As we continue looking toward the next set of tools that attorneys can incorporate into their practice, the focus on generative AI remains.

In addition to the customer beta release of the Everlaw^AI Assistant, Coding Suggestions and Multi-Matter Models are the latest features from Everlaw to help legal professionals increase productivity. Configure codes for documents to accelerate review determinations and ensure quality, use past predictive coding models for new matters to streamline document review workflows, and embrace efficiency like never before.

Experience Everlaw^AI Assistant with the Expanded Beta Release

The customer beta release of the Everlaw^AI Assistant marks a significant step in expanding the use of generative AI in the legal industry. At no additional cost, Everlaw customers can leverage these generative AI-powered tools to do their jobs faster and easier, and speed up the processes of legal work. To join the Everlaw^AI Assistant beta, apply here.

Everlaw^AI Assistant can be tailored to specific use cases, or seamlessly integrated across the entire Everlaw platform. It also offers the ability to cite and link directly to evidence for easy user verification of AI outputs, and enterprise-grade security and privacy controls protect confidential client data.

Dramatically speed up drafting with evidence, extract key information from complex documents to supercharge review, and reduce tasks that once took hours down to seconds.

Within Storybuilder, the Everlaw^AI Assistant helps transform the blank page into a strong first draft. Writing assistance allows you to configure drafts for specific cases by filling in fields like areas of law, parties represented, and key arguments to create a more targeted work product. You can even use it to automatically draft case timelines, counterarguments, and more.

New features like Coding Suggestions and Batch Summarization let users reduce the amount of time they spend on processes that can now be automated. Coding Suggestions uses Everlaw^AI Assistant to automatically evaluate documents and configure codes for them, and offers an explanation for its suggestion. Batch Summarization offers the ability to batch generate summaries for up to 1,000 documents at a time with a single click.

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“The time that it takes for the generative AI to produce usable summaries is a matter of seconds,” said Gordon Calhoun, partner at Lewis Brisbois and a leading mind surrounding generative AI in the legal space. “The time savings is huge. Unlike the human memory, which is fallible, the information generated is complete and eliminates the possibility of missing an important party to a communication, which, in some cases, could be a make-or-break situation.”

Everlaw^AI Assistant is a realization of the power generative AI can have in the legal industry. After responsibly and carefully implementing the first iteration of the Everlaw^AIAssistant through a closed beta program, this customer beta is the next step in putting generative AI in the hands of the legal professionals who need it.

Automatically Apply and Configure Codes with Everlaw^AI Assistant

Coding Suggestions expedites the coding configuration process by leveraging generative AI to evaluate documents and construct codes for them. For every code configured for use, Everlaw^AI Assistant will offer a suggestion of whether it will be applied to the document or not, and provide an explanation for its suggestion based on a thorough analysis of the document text. You can then apply, remove, or replace codes directly in the review assistant based on the suggestion.

Prompting is key to making the most out of Coding Suggestions. Users can craft custom prompts to input into the Everlaw^AI Assistant to get it to perform requested tasks. With Coding Suggestions specifically, the case description, category description, and code description are used to prompt the Everlaw^AI Assistant. The case description provides a summary of the overall case, the category description contains relevant information for coding decisions to be made for most codes under a specific category, and the code description lists criteria for why a code should be applied to a certain document.

Coding Suggestions has other uses as well, such as speeding up review determinations, or surfacing difficult-to-find, material insights from documents. It can also be used as a quality control tool for existing review work. This frees up attorneys to focus on more important things, so they can get to the heart of their matters, faster.

Take Advantage of Predictive Coding with Multi-Matter Models

Continuing in the vein of accelerating processes, Multi-Matter Models is aimed at transforming document review, freeing up attorneys to spend more time on the consequential parts of their case. It’s repeatable, scalable AI technology that seamlessly integrates into your document review workflows.

Leverage past predictive coding models that have already been trained and use them on new matters in an effort to expedite document review. You can even combine models for greater coverage, so users can continually capitalize on past work. That means no more starting from scratch every time you take on a new case, building brand new models for individual uses, or enduring tedious training.

Multi-Matter Models builds on the foundations of TAR and predictive coding to provide AI-powered document review capability that helps attorneys create a faster and more efficient review process.

Maximize Your Organizational Capabilities through AI

Harnessing the power of generative AI has become vital to the success of legal professionals. The ability to streamline previously lengthy processes like coding configurations and document review into a fraction of the time they once took is a transformational change in the work of attorneys.

Learning these systems and understanding their benefits can bring outsized value to all types of organizations. Find out what’s possible when you use AI technology to maximize resources.

To learn more about the Everlaw^AI Assistant, Coding Suggestions, or Multi-Matter Models, apply for the customer beta release of Everlaw^AI Assistant and request a demo today.

Justin Smith is a Content Marketing Manager at Everlaw. He’s written on everything from financial markets to the product warranty industry for several different companies.