Litmas AI Agentic Associate: $125 a Case, Motions in 90 Minutes

A solo litigator staring down a summary-judgment deadline usually faces three and a half to four weeks of record review, research, and drafting. Litmas AI, a litigation-only AI platform founded in 2025 by Miami litigator Jason Weber and former Amazon technology and product leader Sriram Sekhar, says it can compress that into a single 90-minute run of parallel AI agents. Today it launched the product built to do it: the Litmas AI Agentic Associate.

The pricing pitch is as aggressive as the product claim. Litmas AI charges $125 per case per month, with unlimited drafting, research, and queries, and no annual contract. But the fine print carries a floor that never sleeps, the launch numbers are all the company's own, and independent reviewers have already flagged real rough edges. Here is what the November 2 launch actually announces, what the pricing page says, and what to check before putting client files into it.

What launched today: a team of AI associates, not one chatbot

The core idea is parallel work. Instead of one assistant that does record review, then research, then drafting in sequence, Litmas AI assigns each task to its own AI associate, all working from the same case record at the same time. You hand the record review, the limitations-defense research, and the opposition draft to three associates at once, and each brings its decisions back with reasoning and sources for your approval. Nothing is filed without the attorney's sign-off, and approved drafts export to Word or PDF with every cited document ready as an exhibit.

Each associate works from one picture of the case, built from everything the firm uploads: pleadings, discovery, transcripts, and emails. The fact-management layer reads those documents into a fact map where every fact links to its source page and line, and to the claim and element it supports. Contradictions between documents get flagged with both cites, so a conflict surfaces before it reaches an argument. The company calls its newer narrative layer the Evidence Mapper, which organizes the case around the key factual storylines supporting a claim and connects every fact to its underlying source, whether that is a deposition transcript, an exhibit, or a medical record, according to the official product page.

Case-law research gets its own associate, which reads each authority and checks that it still stands for what the draft is citing it for. Superseded and undercut authorities get flagged. The drafting associate then produces the motion, and the attorney can ask why a case was chosen, challenge the theory, or redirect the argument; the associate answers with its reasoning and sources and revises the draft. The company sells a 30-minute demo with a litigator where the three lanes run side by side on a live assignment.

The numbers, read carefully

The headline figure is the summary-judgment draft: a task the launch release says typically takes three and a half to four weeks, produced in as little as 90 minutes, drafted to about 90 percent ready to file. The release also claims motion drafting time is reduced 60 to 80 percent across the board. Those are company-reported figures from the GlobeNewswire launch announcement dated November 2, 2026, with no independent benchmark behind them yet. The product page's own banner says "10x faster drafting," which is a bigger claim than the release's 60 to 80 percent; the conservative range is the honest one to carry.

The scale figures tell the same story. More than 200 firms are using the platform, it has been used in 1,500 litigation matters and over 3,000 court filings, and the release reports zero fabricated case citations to date. All four numbers come from the company's own announcement. "Zero fabricated case citations reported to date" is doing real work in that sentence: it is a self-reported metric, not an external audit, and "reported" means the company has not been told about one.

The citation story is still the most interesting part of the product. Every case, statute, and pincite is checked against verified United States court opinions through a dual-layer validation system before it reaches a draft, and a citation that cannot be validated is removed rather than shown. Each citation that does appear is linked inline, so the reviewing attorney can open the authority and judge its weight. For a profession where courts have sanctioned lawyers for filing AI-hallucinated case law, that removal-not-display design is the feature that matters most. It does not eliminate the need for attorney review; it narrows the surface the attorney has to check.

The compliance posture is spelled out on the product page: SOC 2 certified, an independent HIPAA compliance audit completed, data encrypted, and client files never used to train models. The attorney controls the output and reviews and approves everything before it leaves the platform.

Pricing: $125 a case, plus the fee that never sleeps

The pricing page is short and worth reading twice. Litmas AI starts at $125 per case per month. Each case includes unlimited AI legal research, drafting, document analysis, fact checks, and queries, with no token limits or usage caps, and there are no annual or multi-year contracts. Cases can be paused or closed as the docket moves. The document envelope is 5,000 pages per case and up to 500 MB per file, with formatting for all 50 states and federal courts.

The fine print is one sentence, and it changes the math: "A $125/month minimum platform fee applies, even if all cases are archived." That means the floor for any firm is $125 a month with zero active matters, and every open case stacks another $125 on top. A solo litigator running three active cases pays $500 a month. A firm that archives everything in a quiet quarter still pays $125. There is no per-seat requirement, which Litmas AI contrasts with enterprise platforms that mandate firm-wide enrollment, on its official compare page.

For readers outside the United States, Litmas AI bills in dollars. At November 2, 2026 market rates of about 0.7451 pounds and 1.3974 Canadian dollars per dollar, verified at publication, $125 a month works out to roughly 93 pounds or C$175 per case, with the same figures for the platform fee. A three-case solo practice at $500 a month is about 373 pounds or C$699. These are close approximations, not quotes; the card provider converts at its own rate.

How Litmas AI positions itself: Harvey, Astra for Law, and the $20 chatbot

Litmas AI's compare page draws its battle lines explicitly, and its framing deserves attribution because it comes from the vendor. On that page, Harvey AI and Legora are described as enterprise legal AI platforms built for corporate transactions: contracts, due diligence, deal work. Litmas AI says it was built for litigation, charges per case instead of a firm-wide annual subscription, and lets only the attorneys doing litigation work subscribe. Whether Harvey's product roadmap agrees with the characterization is a question the page does not answer.

The comparison table below adds two reference points Litmas AI also names: OpenAI's legal configuration and generic chatbots.

Two of those rows deserve more context. OpenAI's Astra for Law, priced at $10 per million input tokens and $50 per million output tokens on a promotional rate through at least December 31, 2026, is a model configuration, not a litigation platform; our breakdown of its pricing walks through the fine print. For a high-volume matter, per-token billing can run well past Litmas AI's flat $125 a case; for a light matter, $125 a case can cost more than a few dollars of tokens. The right comparison is cost per matter, not price per unit.

The generic-chatbot row is Litmas AI's own argument, and it is the strongest one: a $20 subscription buys a chat window with no case record, no pincites, no court-compliant formatting, and citation output the attorney must verify from scratch. Litmas AI's compare page also raises the confidentiality point, noting that consumer AI plans may retain data or use it for training depending on the plan. Firms weighing the $20 route against $125 a case should read both vendors' data-use terms rather than trusting either marketing page.

The catches

The product is hours old, so the independent record is thin, but it exists. Litmas AI holds a 4.6 rating across 6 reviews on G2, and the critical notes are worth more than the praise. One verified mid-market reviewer flags that legal research is currently limited to CourtListener as a source, which works well for what it covers but is not the breadth of a Westlaw or Lexis database, and that the agent occasionally loses track of earlier context or instructions in longer drafting sessions. A May 2026 reviewer found that revising a created document could be frustrating, with the system rearranging facts and losing track of prior changes. Those reviews predate the Agentic Associate launch, so they describe the platform the new product is built on, not the launched feature itself.

Three more catches come from the company's own pages. First, the platform fee floor: $125 a month even with every case archived means the subscription is never truly idle. Second, the "10x faster drafting" banner on the product page outruns the "60 to 80 percent" figure in the company's own launch release; treat the banner as marketing and the release range as the claim to hold them to. Third, every efficiency and scale number in the announcement is company-reported, from the 90-minute draft to the 3,000 filings. No independent party has timed the 90-minute run or audited the zero-fabrication claim.

Finally, the category risk is structural, not specific to Litmas AI. Courts place the citation-accuracy burden on the filing lawyer, not the tool. A dual validation layer reduces the checking workload; it does not transfer the signature. The attorney who files is the attorney who answers.

Pro tips and common mistakes

Book the demo with a real assignment from your own docket, not the company's sample matter. A 30-minute session on your messiest active case will tell you more than any benchmark the company publishes.

Model the full bill before subscribing. The platform fee plus per-case pricing means a firm's monthly cost is $125 plus $125 times active cases. Price it against a quarter of your actual docket, including the quiet months when you pay the floor anyway.

Ask for the SOC 2 report and the HIPAA audit scope before uploading client documents, not after. "SOC 2 certified" describes a completed examination; the report's scope section says what was actually examined.

Verify citations the old way on your first two or three filings. Court certification rules make the lawyer responsible for every cite, so treat the validation layer as a strong first pass until it has earned your trust on your own matters.

Get two answers in writing: what happens when a case exceeds 5,000 pages, and whether the research sources will expand beyond CourtListener. Both are flagged as current limits by the company's own reviewers and pages.

Frequently asked questions

What is the Litmas AI Agentic Associate?

It is a litigation workflow product launched November 2, 2026, that runs parallel AI agents for fact management, case-law research, and drafting from a single case record. The associates work simultaneously rather than in sequence, the attorney approves each output, and approved drafts export to Word or PDF with exhibits ready.

How much does Litmas AI cost?

Pricing starts at $125 per case per month with unlimited drafting, research, and queries, and no annual contract. A $125 monthly platform fee applies even when all cases are archived, so the minimum any firm pays is $125 a month. At November 2, 2026 market rates, $125 is about 93 pounds or C$175.

Can it really draft a summary-judgment motion in 90 minutes?

That is the company's claim: a task that typically takes three and a half to four weeks, drafted to about 90 percent ready to file in as little as 90 minutes. It is company-reported with no independent verification yet, and "90 percent ready" still leaves the final 10 percent, and the filing signature, to the attorney.

How does it avoid fabricated case citations?

Every case, statute, and pincite is checked against verified United States court opinions through a dual-layer validation system, and citations that cannot be validated are removed rather than shown. The company reports zero fabricated citations to date, which is a self-reported figure, not an external audit.

Is it better than ChatGPT or Claude for legal work?

For litigation drafting, it is purpose-built where chatbots are general: it works from a case record, maps facts to source pages and lines, formats to court rules, and validates citations. The trade is breadth of research sources; one independent reviewer notes Litmas AI's research is currently limited to CourtListener, while generic models can browse more widely.

Does it replace a human litigation associate?

No. The product is designed around attorney approval at every step, and nothing is filed without it. It takes on the record review, research passes, and first drafts; strategy, judgment, and the signed filing stay with the lawyer.

The bottom line

Litmas AI is selling litigation teams a simple trade: per-case pricing with no token anxiety, parallel agents instead of a chat window, and a citation-checking layer built for a profession that gets sanctioned for bad cites. The launch numbers are all the company's own, the product is hours old, and the independent reviews point at real rough edges. But the $125-a-case structure is new in a market built on firm-wide annual deals, and the per-matter math deserves a spreadsheet before the demo call.

This is general information, not procurement or legal advice.

Sources

• Litmas AI, official Agentic Associate product page — read live November 2, 2026 (parallel-associate workflow, $125/case/month pricing, $125 platform fee, 5,000 pages per case, SOC 2 and HIPAA claims)
• Litmas AI, official compare page — read live November 2, 2026 (per-case pricing terms, Harvey and Legora comparison framing, ChatGPT $20 comparison, platform-fee fine print)
• GlobeNewswire via The Manila Times, "Litmas AI Redefines Litigation Accuracy and Efficiency with Launch of Litmas AI Agentic Associate" — November 2, 2026 (90-minute draft, 60 to 80 percent reduction, 200+ firms, 1,500 matters, 3,000 filings, founders, Ducos Law Firm)
• GlobeNewswire via FOX47, same launch release — November 2, 2026 (corroboration of launch figures)
• G2, Litmas AI Reviews — read live November 2, 2026 (4.6 across 6 reviews; independent reviewer caveats on CourtListener-only research, context loss, revision friction)
• Exchange rates: November 2, 2026 market rates (0.7451 GBP and 1.3974 CAD per USD), verified against live market data at publication.