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AI agents for intake and ad-to-case tracking at plaintiff law firms · United States

Mimos: Product, team and how it was built

Small teamFundedB2BLegal

Mimos (AI agents for intake and ad-to-case tracking at plaintiff law firms, United States): 5 paying customers in the first month, August 2025. Evidence grade E: no revenue figure was checked. Team: 2 co-founders at the August 2025 launch; Y Combinator lists a team of 2 in November 2026. Launched August 2025; still running.Added 5 November 2026 · updated 6 November 2026

Outcome
5 paying customers in the first month, August 2025
Evidence
E no revenue figure was checked
Launch
August 2025
Status
Still running
Team
2 co-founders at the August 2025 launch; Y Combinator lists a team of 2 in November 2026
Outside funding
Y Combinator, Summer 2025 batch; amount not published
Main channel
Not stated
No revenue figure

What is not verified

No revenue figure was found. The only traction number, 5 paying customers within one month, is the founders' own claim in their Y Combinator launch post of 15 August 2025, and it describes the earlier AEO product, not the law-firm product. No payment-processor profile, customer case study, press article or later founder interview was found. A reader could look for named law-firm customers, a Y Combinator Demo Day figure or a later interview. This story is grade E: the business is real and its product, price and customers are described from public pages, but no revenue figure was checked. Aiolum shows it as an idea worth studying, not as proof that it makes money.

Mimos sells AI agents, programs built on a language model that carry out a sequence of steps (read a call, decide a route, draft a follow-up) instead of answering one question, to plaintiff-side law firms. Its central idea is signed-case attribution: linking each signed client back to the ad campaign and keyword that first brought the inquiry, so a firm judges ads by cases won, not by raw leads. The pages say the firm sets the rules and approves each budget or campaign change.

Two co-founders, Rohit (CEO, formerly on Microsoft Azure storage infrastructure) and Michael (CTO, formerly on Amazon Alexa and at Coinbase), launched it in Y Combinator's Summer 2025 batch as answer engine optimization (AEO), the work of getting a company cited in the answers of ChatGPT, Perplexity and Gemini, for regulated firms. Wayback copies show a change in November 2025 to building ChatGPT apps for local businesses, then in April 2026 to AI tools for law firms. Y Combinator's profile in November 2026 calls it "The growth OS for plaintiff-side law firms" and lists a team of 2.

This story has no revenue figure. The only traction number is the founders' own launch post of 15 August 2025, which said they had signed 5 paying customers within one month of launch, for the earlier AEO product. The current site sells only through demo calls and publishes no prices or customer names.

Mimos: 5 paying customers in the first month, August 2025. AI agents for intake and ad-to-case tracking at plaintiff law firms, United States, team of 2 to 10, evidence grade E.
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01

How much revenue does Mimos make?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A two-person Y Combinator company that changed its product three times in its first year and now sells AI intake and attribution to plaintiff law firms, with no published revenue
FactValueGradeHow we knowSources
Founded and batch2025; Y Combinator Summer 2025CY Combinator company profile: year_founded 2025, batch Summer 2025, status Active, location New York City.[1]
FoundersRohit (CEO) and Michael (CTO)CLaunch post: "We're Rohit and Michael, co-founders of Mimos." The Y Combinator profile in November 2026 shows only Rohit Sirosh, as Founder/CEO.[1, 2]
Team size2 peopleCY Combinator profile, team_size 2. The careers page says "Mimos is a small, founder-led team."[1, 8]
Paying customers, August 20255, within one month of launchCFounders' launch post, 15 August 2025: "Signed 5 paying customers across finance, proptech, and wealth management". This was the AEO product, before the change to law firms.[2]
Early result claimed for the AEO product2 times higher AI citation rates than baseline contentCFounders' launch post. No method or customer is given.[2]
Current productgrowth, intake and case-development agents for plaintiff-side firmsCY Combinator profile: "Our agents manage Google Ads, Local Services Ads, Google Business Profile". The site's platform page: "Agents handle the repetitive work. Your team stays in control."[1, 3, 4]
Voice intakeanswers calls under firm-approved scripts, with warm transfers and full transcriptsCVoice Intake page: "Answer every call with the right intake policy." The page does not say whether callers are told that they speak with software.[5]
Human approvalrequired for budget and campaign changesCGrowth Optimization page: "Your team approves every budget and campaign change."[6]
Pricesnot publishedCDemo calls only on every page read on 5 November 2026.[3, 4, 5, 6]
Earlier productsAEO (August 2025), ChatGPT apps for local businesses (November 2025), legal intelligence (April 2026)CWayback copies of mimos-ai.com and trymimos.com.[9, 10, 11]
Months from launch to the headline0calcCalculated: the launch post and the customer count are both from August 2025. The post does not date the product launch itself.[2]

How to read this table: grade C is what the founders wrote in their launch post, what the company writes on its own pages, or what Y Combinator's company profile lists. A "calc" value was computed on this page. No value is grade A or B, and there is no money figure.

Mimos prices: none published on the current site, read 5 November 2026 (grade C)
PlanPer month, billed yearly (US$)Per month, billed monthly (US$)Limit
All current productsnot publishednot publishedsold after a demo call
Early adopter tier, August 2025 (AEO product)00as the August 2025 home page described it

Every product and use-case page on trymimos.com ends with "Book a Demo" and none gives a price. The August 2025 site, for the earlier AEO product, offered an "Early adopter free tier" with "No commitment required" and "Cancel anytime"; its pricing section was a link that the Wayback copy does not show.

02

When did Mimos launch, and how did it grow?

From answer engine optimization to law-firm intake in about fifteen months, with three different home pages on the way. Each entry carries its grade.

  1. 15 August 2025CLaunch post on Y Combinator: "Answer Engine Optimization for regulated companies". The founders report 5 paying customers within one month of launch and ask for introductions to marketing chiefs in finance, pharma, legal and telehealth. [2]
  2. 26 August 2025CThe site mimos-ai.com offers to get regulated firms "discovered on ChatGPT, Perplexity and other AI platforms", with an "AI-native compliance engine" that flags issues before publishing. [9]
  3. 30 November 2025CThe site, now trymimos.com, sells a different product: "Get a ChatGPT App for Your Business", built, hosted and published by Mimos for gyms, salons, clinics and law firms. [10]
  4. 13 April 2026CThe site becomes "Adaptive Legal Intelligence": intake guidance for after-hours calls, ad-to-retainer attribution, email drafting that learns from attorneys' edits, and client timeline interviews. [11]
  5. November 2026CY Combinator profile and site describe "The growth OS for plaintiff-side law firms": growth optimization, intake operations, revenue recovery and case development, sold by demo. [1, 3]
03

Why did Mimos work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

Measure ads by signed cases

Most lead tools count inquiries. Mimos ties each retained client back to its campaign and keyword and returns that outcome to Google as a bidding signal, so the firm's ad budget follows cases, not calls.

02

One system from click to case

The same product covers the ad, the intake call, the second review of declined inquiries and the gathering of case facts. Each step feeds the next, which is the reason the founders give for not selling separate tools.

03

Supervised agents

Every page repeats that the firm writes the rules and approves sensitive steps. For a profession with strict duties to clients, this is a sales argument as much as a safety feature.

How it was built

These details come from the company's own pages, the founders' launch post and Y Combinator's profile. They are grade C. No page names the AI model or provider. [4, 5, 1, 2, 3]

  • The platform connects to Google Ads, phone and call routing, SMS, email (Outlook), Slack, Microsoft Teams and the firm's case systems, according to its own pages.
  • Voice intake follows a firm-specific script, escalates urgent or qualified calls with a warm transfer, and stores the transcript and a summary.
  • Agent permissions are set per firm or per portfolio of firms, for management service organizations (MSOs) that run several practices.
  • The founders' backgrounds are cloud infrastructure: Azure storage for OpenAI's training workloads (Rohit) and Alexa AI and Coinbase data infrastructure (Michael), according to the launch post.
  • The current site is a Next.js application.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

04

Who tried this before Mimos, and why did they fail?

Three companies in our database of failed startups promised to automate work for lawyers and failed. The values below are from that database and are not independently verified.

Died 2017 to 2021Burned US$75M

Atrium

The promise

Legal work for startups made faster and cheaper by software inside a law firm.

Why it died

The automation could not handle real legal complexity, so costs stayed like a traditional firm's.

Product/Tech Failure
Died 2015 to 2018Burned US$13M

ROSS Intelligence

The promise

AI legal research that finds the relevant case law for lawyers.

Why it died

Lawyers stayed with Westlaw and LexisNexis, sales cycles were long and investors stopped funding.

Competition
Died 2015 to 2018Burned US$120K

jEugene

The promise

Software that finds errors and inconsistencies in contracts, sold to law firms on demand.

Why it died

Rivals with stronger AI moved faster, law firms bought slowly, and the money ran out.

Competition

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

All three sold a better way to do the legal work itself, research, drafting or review, and met lawyers who were slow to change and incumbents who owned the data. Mimos sells to the business side of the firm instead: ads, phone intake and follow-up, where the result is a count of signed cases that a managing partner can see each month.

The other difference is cost. ROSS and Atrium built their own language technology with millions of dollars. Mimos can rent a general language model and spend its effort on connections to Google Ads, phones and case systems, which a two-person team can build.

05

Can one person copy Mimos now?

Possible for a small technical team, with a long route to the right market.

The method is to pick one profession that buys expensive ads, connect the ad account to the outcome that the profession is paid for, and put supervised agents on the steps in between. The Mimos history also shows the cost: three products in about fifteen months before this one, and Y Combinator support while searching.

Where it is still open: The same structure fits other professions that buy search ads and win customers by phone: home services, dental and medical practices outside the clinical work, immigration and family law.

  1. 1Choose a buyer whose revenue per customer is high and whose ad spend is large, so better attribution is worth paying for.
  2. 2Connect the ad platform to the final outcome (a signed case, a booked job), not to the lead.
  3. 3Add agents for the manual steps between lead and outcome, with human approval for anything sensitive.
  4. 4Sell by demo and start each customer with one workflow.

What could go wrong for Mimos?

The risks are the mirror image of the causes above.

What is not verified

No revenue figure was found. The only traction number, 5 paying customers within one month, is the founders' own claim in their Y Combinator launch post of 15 August 2025, and it describes the earlier AEO product, not the law-firm product. No payment-processor profile, customer case study, press article or later founder interview was found. A reader could look for named law-firm customers, a Y Combinator Demo Day figure or a later interview.

Three changes of product

Wayback copies show AEO for regulated firms in August 2025, a build-and-host ChatGPT app service for local businesses in November 2025, and legal intelligence in April 2026, before the current growth platform. The November 2025 offer was a done-for-you build service; the current site sells software.

Sample figures and calls

The home page lists a sample dashboard (US$42,000 of Google Ads spend, 31 qualified inquiries, 7 retained cases in 30 days), and the April 2026 page showed a sample caller with a 555 phone number. These look like product illustrations, not customer results. The Voice Intake page does not say whether callers are told that they are speaking with software.

Dependence on platforms and model providers

The product depends on Google Ads, Local Services Ads and Google Business Profile, which the Y Combinator profile names as the channels its agents manage. No page names the language model or speech provider that Mimos uses, so the dependence on one model provider cannot be judged. The founding team: Rohit is the only founder on the Y Combinator profile in November 2026, while the launch post named two co-founders.

Competition

On this site, VoxNow sells a narrower AI voicemail service to Belgian law firms, and Rank Prompt and Promptmonitor sell the AEO tracking that Mimos started with; Mimos is the only one that ties ads to signed cases.

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

  1. C Y Combinator company profile: Mimos, The growth OS for plaintiff-side law firms
    Read in full on 5 November 2026, from the profile data in the page. Source for the batch, founding year, team size, location, founder and the current product description.
  2. C Y Combinator Launches, 15 August 2025: Mimos - Answer Engine Optimization for regulated companies
    Read in full. The founders' launch post. Source for the 5 paying customers, the citation-rate claim and the founders' backgrounds.
  3. C Mimos home page: Find, sign, and develop better cases
    Read in full on 5 November 2026. Source for the product structure and the sample dashboard.
  4. C Mimos Platform page
    Read in full. Source for the agent workflow, approvals and integrations.
  5. C Mimos Voice Intake page
    Read in full. Source for call handling, warm transfers and transcripts.
  6. C Mimos Growth Optimization page
    Read in full. Source for signed-case attribution and the approval of budget changes.
  7. C About Mimos
    Read in full. Source for the company's description of plaintiff firms' problem and its supervised-agent approach.
  8. C Careers at Mimos
    Read in full. Source for "a small, founder-led team".
  9. C Wayback Machine copy of mimos-ai.com, 26 August 2025
    Read in full. Source for the first AEO product and the early adopter free tier.
  10. C Wayback Machine copy of trymimos.com, 30 November 2025
    Read in full. Source for the ChatGPT app service.
  11. C Wayback Machine copy of trymimos.com, 13 April 2026
    Read in full. Source for the Adaptive Legal Intelligence product.
  12. C Database of failed startups, local export
    Local export. AI-written summaries, not independently verified. Source for the failed predecessors.

Run this company? Send corrections or a verified figure to aiolum@livyden.com

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