By Jason Weber, Co-Founder & CEO, Litmas AI 

We’re thrilled to announce that Litmas AI has been selected as one of 15 finalists for the 10th annual Startup Alley at ABA TECHSHOW 2026 in Chicago. We’ll be pitching alongside an impressive group of legal tech startups on opening night, March 25, and exhibiting throughout the conference. 

This recognition means a lot to our team. I founded Litmas AI because I saw firsthand, through years of litigation practice, how general-purpose AI tools were failing attorneys in the courtroom. Every feature we’ve built comes from real litigation workflows, real frustrations, and real stakes. Being selected for Startup Alley validates what we’ve believed from day one: attorneys need AI that was purpose-built for the way they actually practice. 

But as excited as we are, I’m also genuinely fascinated by the full slate of finalists. The 15 companies selected by voter ballot this year tell a compelling story about where the legal industry is heading and what attorneys are actually demanding from technology in 2026. 

The Era of “Built for X” Legal AI 

The most striking pattern across this year’s finalists is specialization. The days of one-size-fits-all legal software appear to be numbered. 

Litmas AI focuses exclusively on litigation workflows, from drafting motions and pleadings to organizing evidence and conducting verifiable case law research. LegalBridge has zeroed in on immigration law, automating visa workflows from document categorization to form filling. EstateScribe is doing something similar for estate planning, turning client intake data into jurisdiction-specific estate plans. Lawdify, the top vote-getter, targets construction dispute analysis specifically. 

This trend makes sense. Attorneys don’t practice “law” in the abstract. They practice personal injury, commercial litigation, immigration, or estate planning. Each area has distinct workflows, document types, and professional requirements. A tool that tries to be everything to everyone ends up being mediocre at the specific tasks that matter most. 

The market is rewarding companies that understand this. Rather than bolting legal features onto generic AI, these startups are engineering from the ground up for particular practice areas, and attorneys are responding. 

AI That Does the Work, Not Just Answers Questions 

Another clear signal from this year’s class: the chatbot era of legal AI is maturing. Attorneys no longer want to type questions into a box and get paragraphs of text back. They want AI that actually executes the work they need done. 

TwinCounsel exemplifies this shift. Their AI lives inside a lawyer’s inbox and drafts subpoenas and financial disclosures when an attorney simply replies to an email with a plain-English instruction. Candle AI works inside Outlook and Gmail to pull case details from practice management systems and draft context-aware replies. Bradwell combines drafting, redlining, and research into a single workspace. 

At Litmas AI, this has been core to our approach from the start. We didn’t set out to build a chatbot that answers questions about the law. We built a platform where litigators can actually draft motions, organize evidence, and conduct research within the same workflow they already use to move a case forward. The output isn’t a conversation. It’s work product. 

Solving the Problems Lawyers Actually Complain About 

Some of the most interesting finalists tackle pain points that don’t get much attention in the AI hype cycle but consume enormous amounts of attorney time. 

Sonar Legal may have the most relatable pitch of any company in the group. While everyone else is talking about AI-powered drafting and research, Sonar is solving document formatting: the eternal nightmare of inheriting a brief from a colleague and spending hours fighting with rulers, numbering, and the dreaded Format Painter. One click to apply house styles? Every litigator who has ever cursed at Microsoft Word just felt something. 

CounselPro addresses another overlooked time sink: financial document analysis. Turning years of bank statements and credit card records into structured, audit-ready data is tedious, manual work in most firms. CollBox tackles accounts receivable, helping firms get paid faster without turning lawyers into bill collectors. And CaseCreate focuses specifically on the mechanics of assembling litigation documents through dynamic selection rather than vast template libraries. 

These companies remind us that “legal AI” isn’t just about research and drafting. The practice of law involves dozens of operational tasks that eat into billable time, and the best technology solutions meet attorneys where the friction actually lives. 

Data-Driven Decision Making Comes to Litigation 

Two finalists point to a fascinating emerging category: using data analytics to inform litigation strategy. 

Immediator applies data science to settlement timing in personal injury cases, replacing gut instinct with objective signals about when negotiations are likely to succeed. StreamSettle takes a different approach entirely with a triple-blind settlement platform that detects overlapping thresholds between parties and settles cases automatically at the midpoint. 

These tools represent a philosophical shift. Litigation has historically been driven by experience, intuition, and (let’s be honest) billable hour incentives. Bringing quantitative rigor to decisions like “when should we try to settle?” could meaningfully change how disputes get resolved. The fact that both companies made the final 15 suggests attorneys are increasingly open to data-informed practice. 

The Small Firm Revolution Continues 

A notable theme running through the finalist list is the focus on solo practitioners and small firms. LegalBridge serves firms from solo practices to 20-attorney offices. Bradwell explicitly targets solos and small firms looking for big-firm AI capabilities without the overhead. TwinCounsel is designed as a delegation platform for the same market. 

This makes sense given the demographics of legal practice. The vast majority of attorneys work in small settings, and they’ve historically been underserved by legal technology that was priced and designed for BigLaw. The current wave of AI-powered tools is changing that equation, giving smaller firms access to capabilities that were previously out of reach. 

At Litmas AI, this is a reality I think about constantly. A solo PI attorney preparing for trial deserves the same quality of research and drafting support as a 500-lawyer firm. The difference shouldn’t be headcount. It should be whether your tools were designed for the work you actually do. 

A Few More Worth Watching 

I’d be remiss not to mention the remaining finalists rounding out this impressive group. VoiceScript is tackling the deposition workflow with an integrated platform that combines court reporting services with AI-powered preparation and analysis tools. EstateMin is modernizing trusts and estates intake with structured digital workflows that replace pen-and-paper processes. Both are solving real, specific problems for their respective practice areas, which is exactly the kind of focused innovation I love seeing. 

What I’m Looking Forward To 

The ABA TECHSHOW pitch competition on March 25 will give all 15 finalists a chance to make their case in front of a live audience. I can’t wait to show what Litmas AI can do alongside this talented group of companies. 

If you’ll be at ABA TECHSHOW, come find us in the Startup Alley exhibit hall. Julie McKenna, Esq., our Head of Product, will be there representing Litmas AI and would be happy to walk you through the platform and answer any questions. She’ll be showing how Litmas AI helps litigators draft motions, conduct verifiable research, and organize evidence, all in one platform designed by litigators who understand the real pressures of practice. If you’d like to connect directly, you can reach Julie at julie@litmas.ai.

And if you can’t make it to Chicago, book a demo to see Litmas AI in action. We’ll show you what litigation-specific AI actually looks like.