Nicole Black.

Survey after survey shows that the majority of legal professionals now have artificial intelligence tools available in their workplaces.

Most recently, according to data from the 2026 ILTA Technology Survey, 94% of law firms now use or are exploring generative AI tools, up from 80% last year.

As adoption increases, so too does understanding of the risks involved when using AI to accomplish legal work. Issues encountered include preserving confidentiality, the possibility of hallucinations, as well as attorney work product and privilege concerns.

The good news is that there are ways to improve reliability. For example, using legal-specific AI tools designed for lawyers’ unique needs can improve overall reliability. Hallucinations are further reduced by limiting the information that informs the output, resulting in responses that are more narrowly tailored.

One example of AI-powered legal software that relies on a limited dataset of information is fact analysis tools. Litigation matters are often complex and heavily dependent on facts, and a single case may involve multiple law firms, attorneys, parties, witnesses, experts and thousands of pages of documents.

For years, litigation teams relied on Word documents, Excel spreadsheets, document binders, witness folders and Post-it notes to organize facts and evidence. Those methods became less effective as case files grew larger and more evidence moved into digital formats. Managing that volume of information became difficult, especially when a legal team divided responsibility for reviewing and analyzing it.

Litigation fact management software was developed to address that problem and became commonplace in litigation law firms. These tools provided a central location where legal teams could organize documents, identify important facts, create timelines, connect evidence to witnesses and legal issues, and collaborate throughout the life of a case.

Choosing AI-powered fact analysis software

Enter generative AI, which supercharged those capabilities, ultimately creating a new category of software—fact analysis tools. Using this software, legal teams can quickly review a defined collection of case materials, extract relevant information using a conversational chat interface, identify relationships and inconsistencies across documents, generate interactive chronologies, and link factual assertions to supporting documents. These expanded features reduce the time needed to understand a case file while making it easier for litigation teams to evaluate and work with the evidence.

While this software can dramatically increase a legal team’s productivity, you’ll need to carefully research your options and choose the right tool for your firm’s needs. The first step is to determine whether any software already used in your firm includes fact analysis capabilities. Many e-discovery, document management and broader legal AI platforms have added fact analysis features. If those features are already included in tools your firm already has in place, you won’t need to invest in stand-alone software.

Next, determine who will use the software and whether the expected time savings justify the cost. The answer will depend on your firm’s caseload, the complexity of its matters, and the volume of evidence involved.

You’ll also need to carefully vet both the provider and its AI technology. These tools are typically cloud-based, so confidential case data will be stored on third-party servers. Find out where the data will be stored, who can access it, how it will be protected and backed up, and how long it will be retained.

Other questions to ask include whether firm or client data will be used to train AI models; whether uploaded data can be permanently deleted; how the system handles conflicting or incomplete information; and whether the output includes links to supporting source material, making it easier to verify its accuracy.

Before choosing a platform, take advantage of any free trials or product demonstrations and obtain input from the team members who will use it. Because features and interfaces vary, it’s essential that you ensure the software’s compatibility with your team’s workflows.

Last but not least, provide training, so that your team understands how to safely and effectively use this software. Establish procedures for preserving confidentiality and carefully reviewing output.

4 AI fact analysis software options

With those issues in mind, let’s review some of the stand-alone AI fact analysis tools. Note that the list below is not comprehensive, and pricing will be included if it is publicly listed.

First, there’s Mary, which creates a single factual record from case documents. It identifies people, dates, events, contradictions, missing documents and unresolved issues. Each factual entry is categorized as supported, contradicted or unconfirmed and remains subject to human review. Pricing is not available on the website.

Another option is Crimson, which is designed for complex litigation and arbitration. It analyzes the full case file, answers factual questions with links to supporting documents, creates visual timelines, compares allegations and party positions, and identifies unsupported or disputed assertions. It also offers document drafting capabilities, deadline tracking and email analysis. Pricing is not available on its website.

Casefleet combines its established fact management platform with newer AI features. Its Casey assistant answers questions with links to source documents and proposes facts for attorney approval. The software also supports chronologies, document and transcript review, witness organization and collaboration. The AI plan costs $140 per user per month, and a 14-day free trial is available.

Finally, there’s Wexler, a fact intelligence platform for complex disputes and investigations. It extracts and organizes facts from large document sets, generates timelines, identifies factual inconsistencies, and links each finding to its source.

In July, legal AI company Legora announced its acquisition of Wexler, along with plans to incorporate the technology into its agentic platform, so you may want to inquire about the future of the stand-alone platform before choosing this product. Pricing is not available on Wexler’s website.

Accurate and reliable

These are just a few of the stand-alone fact analysis tools available. As the volume and complexity of digital evidence continues to increase, this software category offers the potential for significant productivity gains.

Using it, litigation teams can analyze case materials more efficiently, streamline workflows and improve collaboration. With the right tool and human-in-the-loop safeguards in place, your litigation team will be positioned well to take advantage of AI’s benefits while ensuring that the resulting analysis is both accurate and reliable.

Nicole Black is a Rochester, New York-based attorney, author and journalist. She is the principal legal insight strategist at 8am, parent company of LawPay, MyCase, CasePeer and DocketWise. She is the nationally recognized author of Cloud Computing for Lawyers and is a co-author of Social Media for Lawyers: The Next Frontier, both published by the American Bar Association. She writes regular columns for ABAJournal.com and Above the Law, has authored hundreds of articles for other publications, and she regularly speaks at conferences regarding the intersection of law and emerging technologies. Follow her on LinkedIn, or she can be reached at [email protected].