# &AI: a credit-metered patent-litigation workspace for prior art and claim charts

Canonical: https://mudpie.ai/companies/ai/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [&AI: a credit-metered patent-litigation workspace for prior art and claim charts](https://mudpie.ai/companies/ai/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

&AI is a patent-litigation workspace for teams that need prior-art research, claim charts, and draft work product to move together. The buyer decision is whether to use a credit-metered AI workspace for repeatable litigation work, while keeping attorney judgment over search strategy, claim construction, and final arguments.

## What it does

&AI says it searches patents, non-patent literature, and product evidence; compares inventive elements; builds cited claim charts; drafts invalidity contentions, expert-report material, and pitch documents; and lets a team refine the work in a shared editor. The product also includes patent-family and prosecution-history context, natural-language tables, and a feed for potential litigation opportunities ([&AI homepage](https://www.tryandai.com/); [YC launch](https://www.ycombinator.com/launches/LIr-ai-automate-patent-due-diligence-in-an-instant)).

| Fact | What the public sources say |
| --- | --- |
| Buyer | Patent litigators, in-house IP teams, and technology-forward law firms |
| Core work | Prior-art search, claim charts, evidence-of-use analysis, drafts, and portfolio review |
| Public pricing | Pay as you go at $0.40/credit; Pro at $625/user/month with 2,500 credits; Enterprise custom |
| Trial | The pricing page offers a 7-day free trial |
| Founders | Caleb Harris and Herbert Turner |

## Why it fits

The useful distinction is the connected workflow. Instead of exporting a search into one tool and building a claim chart somewhere else, &AI keeps evidence, claims, templates, and collaboration in one workspace. That is most compelling for a firm that repeats similar diligence across matters or an in-house team that needs a fast first pass before spending senior attorney time.

The credit model makes cost visible but variable. The company gives recent averages of 241 credits for a claim chart and 176 for a prior-art search; a large matter can therefore cost more than the seat price suggests ([&AI pricing](https://www.tryandai.com/pricing)). Enterprise adds SSO, role-based access, custom integrations, and single-tenant or self-hosted model options. The homepage says &AI is SOC 2 Type II certified and offers zero-retention settings; those claims are company-published, so procurement should still request the trust-center detail and contract terms ([&AI security](https://www.tryandai.com/)).

The founder context fits the wedge. YC describes Harris as having done technical consulting in patent litigation and ML research at MIT, while Turner worked on applied ML, fine-tuned LLMs at Google, and was a founding engineer at Kino AI ([YC company profile](https://www.ycombinator.com/companies/ai-2)). That supports the product's legal-plus-technical orientation, not the accuracy of any generated argument.

Short version: &AI is worth a trial for a patent team with recurring search and chart work. It is not a substitute for attorney review, and a buyer should price a real matter rather than extrapolate from a demo.

## Sources checked — 2026-09-19

- [YC company profile](https://www.ycombinator.com/companies/ai-2)
- [&AI homepage](https://www.tryandai.com/)
- [&AI pricing](https://www.tryandai.com/pricing)
- [&AI YC launch](https://www.ycombinator.com/launches/LIr-ai-automate-patent-due-diligence-in-an-instant)

## Cohort context

&AI is listed in Summer 2024. In our 2026-09-18 directory snapshot, 161 of 248 listed companies in that cohort have YC’s primary industry label B2B (64.9%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:16:45.992Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Observed |
| H1 or H2 heading | Observed |
| Typed structured data | Observed |
| Docs/developer link | Not observed in this response |
| Pricing link | Observed |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.