Top Use Cases for GenAI Workflows
By now, every partner, associate, CTO, and litigation support professional knows that the generative AI revolution for the legal profession has arrived. Whether it’s holding training sessions, educating employees, or actively incorporating it into active matters, chances are someone on every legal team in the country (if not the world) is at least thinking about this groundbreaking technology.
Between generating statements of facts, writing first drafts of arguments, batch summarizing documents, and more, there’s no shortage of potential generative AI holds to help legal professionals save time and money.
With that in mind, let’s explore some of the top use cases for generative AI in the legal profession.
Batch Summarization
Ediscovery remains the most expensive part of litigation, and the document review process takes up a considerable portion of that expense. Oftentimes there are thousands of documents needing review, which requires dozens of attorneys, as well as contract attorneys hired for that specific purpose.
Generative AI allows organizations to save both time and money during document review, as well as the ability to keep all that work in house.
Take, for example, a set of 1,000 documents. A reviewer can upload those to their generative AI model, or the ediscovery software that contains the generative AI, and it will return a table with document by document summaries the user can scroll through to see what those 1,000 documents are about. This summary, which likely would’ve taken a team of reviewers over an hour or more to come up with, will be produced within minutes.
This lets reviewers understand what’s in the document sets as soon as they receive them, offering a leg up on the other side, especially when those documents come in at the 11th hour before a deposition. Additionally, the human reviewer overseeing this process has the ability to find where the generative AI got its answers from directly in the document text.
Document Classification and Analysis
Document classification and analysis allows users to classify and categorize documents based on their own specific criteria. It offers the ability to speed up review times for new documents, perform quality control on existing review work, and enable search/filtering options.
For example, if a user wants to organize that same 1,000 document set in a more efficient way, they can specify a criteria they’re looking for, and the generative AI will comb through the set and automatically filter the documents that meet that criteria into the appropriate classification, making for a better review process.
Within Everlaw’s own generative AI tool, EverlawAI Assistant, Coding Suggestions is a feature users can leverage to perform these tasks. These suggestions are predicated on prompts that users can feed into the generative AI system, with responses generated based off information gleaned from already-uploaded documents, resulting in a transparent and defensible call on whether or not a certain document is in fact relevant for the types of things that user happens to be coding them from.
Sentiment Analysis
Sentiment analysis allows reviewers to extract relevant and topical information regarding what the document set is about, in an effort to understand the content on a more intricate level.
If a reviewer is looking at the aforementioned set of 1,000 documents, they can ask the generative AI to analyze how certain parties are talking to one another, such as whether they’re happy, sad, or angry, to further dive into the document set on a document-by-document level.
By leveraging the power of sentiment analysis, reviewers can hone in on very specific types of topics that they’re interested in. These insights can also be used as a starter for notes created by reviewers, saving additional time and making it easier to preserve key insights for future reference by the team.
Writing Assistance
Writing assistance is perhaps the most imaginative use of generative AI for the legal profession so far.
It offers the ability to write first drafts of arguments, create statements of facts, memos, and more in just minutes, based off a corpus of documents the user inputs into the generative AI system. It provides a starting point that the attorney can then change and tweak to their liking, and view the source material where the article was generated from directly in the text.
These sorts of time-saving measures can help users gain better insights faster to more perfectly craft their trial preparation plans.
Crafting and Revising Arguments
Crafting arguments is one of the most important aspects of attorneys’ work. A cohesive one can help turn the tide of a case, while one that’s left open to interpretation will easily have holes poked in it by the other side.
With generative AI, however, users have the ability to create airtight, well-informed arguments through the help of this transformative technology. They can leverage the tool to brainstorm, shape, and reframe arguments, including arguing counterpoints, identifying inconsistencies, analyzing gaps in evidence, and more. It can help legal professionals go beyond the surface to get to the heart of their case.
Statement of Facts
Statements of facts are crucial to attorneys when it comes to understanding the major players, disputes, and key information within document sets. But when reviewers are having to go through everything by hand, the picture generated by that type of summary can take a considerable amount of time to fully crystallize.
Through the power of generative AI, that important information is in the hands of attorneys within minutes of receiving the document sets, helping them understand their cases faster than ever.
Users can leverage writing assistance to create a statement of facts that calls out things like the key entities involved, general background of the case, major points of contention, origin of dispute, and more in a neat summary that tells attorneys everything they need to know, and nothing more.
Deposition Analysis
Whether preparing for a deposition or just wrapping one up, generative AI can help users with almost every deposition-related scenario.
For example, users can ask the generative AI model at the start of a deposition by having it write the first draft of questions, which can then be refined and edited until they’re perfect. Then, once the deposition is complete, the user can have the model generate witness, exhibit, and topic summaries, identify groups of inconsistencies and discrepancies, complete custom tasks, and more.
This sort of assistance helps uncover the information that will make a difference in a case faster and more efficiently, leading to better outcomes for clients.
The Ultimate Legal Tool
It’s fair to say that when it comes to the legal profession, generative AI is here to stay. The potential it offers to reduce costs, accelerate time to insights, and more is too enticing of an opportunity for the industry to pass up.
That said, when using generative AI as a legal professional, it’s always important to keep in mind that it’s a tool, and is not meant to replace the work of an attorney or litigation support specialist.
Users should always check the system’s work, and keep humans in the loop at all points of its implementation to ensure accurate results.
When this marriage of knowledge and experience mixes with a transformative technology like generative AI, the potential for what it can provide to the legal profession is practically limitless.
Interested in learning more? Watch a recording of the EverlawAI Assistant Launch Event to discover how Everlaw is planning for the generative AI future.
