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

&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; YC launch).

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). 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).

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). 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

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.

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 · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.