Harnessing Generative AI and Concept Clustering for Legal Case Intelligence

How Advanced Analytics and AI Transformed Early Case Assessment in a Multi-State Wage Dispute

Legal professionals today face unprecedented challenges in employment litigation: massive data volumes, tight deadlines, and complex risk profiles. In a recent employment litigation matter involving a biotechnology company, our team leveraged the combined power of Generative AI—through eDiscovery AI’s Early Case Intelligence (ECI) with Case Elements—and Relativity’s Concept Clustering and Visualization to deliver rapid, actionable insights and streamline the review process.

A biotechnology company was facing potential litigation from several former executives.  The plaintiffs’ claims spanned multiple employment-related causes of action in multiple states – some even with multiple employment-related departments within the same state.  They each filed claims against both the company and its Board of Directors individually for unpaid wages and PTO as well as minimal damages and attorney’s fees.  This all amounted to over $3.5 million.

Financial difficulties for the company began several years ago, leading to salary reductions and repeated furloughs for executives. Internal communications and board minutes revealed that the company’s leadership were aware of the mounting unpaid obligations. Despite attempts to secure loans, personal contributions from Board members, and potential acquisition deals, the wage liabilities persisted.

There were multiple unique aspects to this case which provided challenges that would be hard to meet with traditional methods of review.  First was the potential for individual liability among board members under multiple state wage statutes. Board members faced personal risk for unpaid wages, with some providing short-term loans to cover payroll deficits. Next, was the need to assess potential conflicts and privilege given that one of the former executives was the CFO/General Counsel.  Finally, the matter was further complicated by an asset purchase agreement with another biotech company, raising questions about the assumption of wage liabilities post-acquisition.

Challenges Faced

Legal professionals handling this matter encountered several significant challenges:

  • Volume and Complexity:
    • Over 245,000 documents—including emails, contracts, payroll records, board minutes, and financial statements—required review and analysis.
    • The data set included conceptually diverse materials, making it difficult to identify relevant clusters and key facts without advanced analytics.
  • Time Sensitivity:
    • The case was in active mediation, demanding rapid early case assessment and strategic clarity to guide negotiations.
    • Tight deadlines required accelerated insight generation from which to draw conclusions on case strategy.

Data Insight Cluster in colorful wheel

Why Combine Generative AI and Concept Clustering?

Tools like Cluster Visualization, and Nearby Clusters provide intuitive maps of document clusters which helped our case team to quickly drill into subclusters and related concepts.  This was also helpful in the development and validation phases of prompting.  We were able to identify clusters where likely relevant and non-relevant documents would be found, enabling richness to be controlled for development phases and to verify that random samples had a good mix as well.

Generative AI – through eDiscovery AI’s Early Case Intelligence with Case Elements – identified key dates and individuals, as well as key documents such as payment records, and contractual language, surfacing critical facts and relationships – clarifying connections between plaintiffs, board members, and disputed transactions. It also produced a comprehensive case summary and strategic recommendations, supporting legal analysis and potential mediation strategy.

How the Technologies Worked Together

By integrating Relativity’s Concept Clustering and Visualization with Generative AI-powered Early Case Intelligence, the legal team achieved:

  • Accelerated Early Case Assessment: Clustering enabled rapid exploration and organization of unfamiliar data sets, while Generative AI surfaced key facts and risks.
  • Strategic Clarity: GenerativeAI-driven analysis provided actionable recommendations. Interactive visualizations helped identify relevant clusters.

Data-Driven Mediation Preparation: The combined approach reduced review time from weeks to days – completing the review in-house and identifying enough information to resolve the matter in about 4 days.  

Real Impact and Client Feedback

The Case Team benefited from:

  • Clearer understanding of case strengths, risks, and defenses
  • Reduced discovery costs and improved outcomes
  • Confidence in defensible, data-driven strategy

Our client noted:

“The documents turned out to be very helpful for resolving the matter. I’m looking forward to using these tools again in future cases.”

The combination of Generative AI and Unsupervised Learning – such as Concept Clustering – is transforming legal case intelligence. By leveraging technologies in combination, law firms can move beyond traditional review to strategic, insight-driven litigation support, delivering better results for clients in complex matters.

Contact us to discover how advanced analytics and AI can empower your legal team in employment litigation, wage disputes, and beyond.

Managed Review vs. Unmanaged Review: Which One’s Right For You?

Complex litigation cannot happen without some form of document review, whether that’s managed review or not. Document review cannot happen without reviewers. This raises a lot of questions that most lawyers never learned about in law school: Which reviewers do you hire? What parts of review can be trusted to technology, and what parts absolutely have to be done by humans? What work requires actual attorneys, and what work is better left to other litigation support professionals? 

There’s a myriad of considerations that go into these decisions depending on the case at hand and the capabilities of that particular legal team. One of those decisions is “who should make all the other decisions?” When legal teams are either spread too thin or simply want someone with a different realm of expertise, managed review services can be great for attorneys and their clients.

What eDiscovery Review Teams Do vs. What Lead Attorneys Do

Lawyers are good at a lot of things. They tend to be good researchers, and good at drawing connections between seemingly unconnected pieces of evidence. Unfortunately, those relevant pieces of evidence don’t just show up at a lawyer’s doorstep all wrapped up with a bow. Usually, they’re hidden somewhere in a massive pile of data.

If your legal case is a jigsaw puzzle, most lawyers could probably put that puzzle together just fine if there are relatively few pieces and they all come in the same box. Now, imagine the pieces of the puzzle that you want to make are in a box with thousands of other pieces that make up less relevant pictures. What happens when you’re not even 100% sure you have all the right pieces to make the picture you want to make? Can you find other pieces along the way that might make other helpful pictures?

It would be impossible for any one person to make their chosen puzzle in such a scenario. Instead, you need a coordinated team of people going through documents and coding them as relevant. These reviewers aren’t usually the ones making calls about big picture legal strategy, but they know what kinds of puzzle pieces to look for so that those other attorneys can actually put a picture together.

Finding the right pieces in that unruly pile is a separate skillset from actually putting the pieces together once you have them. Plenty of lawyers have great experience in both these areas, but it’s not a given, and there’s no shame in asking for outside help when you need it.

How Remote Review Services Can Help

Remote review and managed review services allow for legal teams to scale as needed in order to take on larger, review-heavy matters. Smaller teams who don’t have enough man power internally can staff up for one matter, and then scale back down afterwards.

Document review services aren’t just for when you need more reviewers, but sometimes simply different reviewers. Maybe you have documents in a foreign language that no one on your staff speaks; maybe you have a matter outside your normal realm of expertise, and need reviewers with different legal specialties.

Either way, remote review lets you take better care of your clients without having internal hires for every possible scenario that your clients might throw at you (which isn’t realistic for most law firms.)

Remote review is a great option for most law firms, but it comes with challenges of its own. Someone has to decide which reviewers are best suited for your matter. Someone has to decide how many reviewers you need to meet a deadline; those reviewers have to report to someone on a day-to-day basis, and that person needs to have an intimate understanding of the whole case, your overarching legal strategy, and whatever technology you’re using to assist human reviewers. Even after you agree on answers to all those questions, someone should be reevaluating things on a daily basis as new information comes to light. Of course, all these challenges multiply if you’re leveraging remote review for multiple cases.

So that raises a follow-up question…. Who should be that someone?

How Managed Review Can Help

In an unmanaged remote review situation, a client is still on the hook to answer questions from reviewers as they come up; the client needs to clearly communicate to reviewers what they’re looking for, and make sure all these different reviewers are taking a consistent approach to coding documents.

Unmanaged review does cost less money, but there can also be dire consequences if this point person is already spread thin and not able to give review management enough attention. What happens if an attorney gets caught up in court and can’t answer reviewers’ questions? What if they don’t notice that more reviewers are needed until it’s too late? What if they aren’t assessing progress often enough, and don’t realize a pivot in legal strategy is necessary until review is 99% done and there’s still no “smoking gun”?

This is why the biggest law firms that are dealing with complex litigation on a regular basis typically hire dedicated discovery project managers apart from their regular attorneys. They know that discovery can require near constant attention, and oftentimes it’s just not possible to give it that attention while dealing with all the other demands of being a lawyer: writing briefs, going to client meetings, court dates, etc. Such firms also know mismanaging discovery can have dramatic impacts downstream. Therefore, investing in constant vigilance at every step of the process will pay dividends later.

Managed review means you are not only temporarily hiring reviewers, but someone to manage them. Clients get to meet with one point person, describe their legal strategy and what they’re hoping to find in review. That point person turns around and handles all the other emails and meetings with the review team. Project managers can catch issues early on and bring them to the client’s attention.

How Do I Decide Which One Is Right For Me?

There’s different reasons someone might go the managed review route over unmanaged route. One might be that they simply don’t have attorneys with that discovery project management skillset. With managed review, a firm that cannot justify hiring discovery PMs internally can still have the same level of vigilance as a firm that could.

Another reason is that even if attorneys are perfectly capable of managing review themselves, their current caseload just doesn’t allow them to give it the attention it needs. By letting someone else answer more of the emails and sit in on more of the meetings, that attorney can focus on other things that a discovery PM couldn’t do, such as deposing witnesses or writing briefs.

Of course it’s going to depend on many factors specific to your case which can’t be addressed here, but generally the key factors that should shape your decision are:  

  1. Do you have discovery project managers internally? These could be either dedicated personnel or attorneys who have experience managing review.

  2. Do those people actually have enough room on their plate now to take on the responsibilities of managing this review?

If an unmanaged review situation is likely to result in either a) an attorney not having enough time to give all their matters the attention they deserve or b) review being managed by someone who’s never done it before and may not understand the intricacies of it, the managed review route is often best.