Patlytics
AI patent platform for drafting, infringement detection, invalidity analysis, FTO and portfolio work, built for IP teams at firms and corporations.
Patlytics is the most complete AI platform we've reviewed for volume patent work. The combination that matters is breadth plus verifiability: Agent's 200+ Skills run across drafting, office actions, infringement, invalidity, FTO, SEP and portfolio modules, and every claim chart or contention is cited back to source, which is what separates it from general legal drafting assistants like Solve Intelligence, which Patlytics directly benchmarks against on drafting, prosecution and claim charts. The reported numbers — a 120-patent project in 20 hours instead of 100, $5,000–$7,500 saved per biotech application — are the kind of outcome IP groups are measured on. The trade-off is commercial, not
Verified 10d ago · liveness 69/100 · cite: rightaichoice.com/tools/patlytics
- Am Law 100 IP practice groups handling high patent volume
- Fortune 500 corporate IP departments running audits and FTO clearance
- Patent litigators needing cited infringement and invalidity charts
- IP portfolio managers triaging hundreds of assets
- Solo practitioners or small firms working to a fixed budget
- Teams that only need prior art search and no downstream analysis
- Litigators who require a live Relativity integration today, since it is still waitlist-stage
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Skip Patlytics if you file only a handful of patents a year or need a published, fixed monthly price before you can commit, since quoting is handled per engagement and the ROI case is built on high-volume work.
Agent skills and module access are bundled into a quoted engagement, so expanding from a single module to full workflow coverage means renegotiating the scope and price.
Patlytics is quote-priced, which places it alongside enterprise IP platforms rather than per-seat legal AI subscriptions — the economics work for Am Law 100 groups and Fortune 500 IP departments recovering hours on 50-plus asset projects, and compare favorably on a per-matter basis against assembling separate search, charting and drafting tools. Solo practitioners and small firms are better served by lower-cost point tools for search or drafting alone.
In short
Patlytics — AI patent platform for drafting, infringement detection, invalidity analysis, FTO and portfolio work, built for IP teams at firms and corporations. Best for Am Law 100 IP practice groups handling high patent volume, Fortune 500 corporate IP departments running audits and FTO clearance, Patent litigators needing cited infringement and invalidity charts. Contact Sales pricing.
What's new in Patlytics
Checked todayAcross the latest 6 updates: 1 launch and 5 news mentions.
Patlytics CEO Paul Lee on N47's Builders podcast
Paul Lee discussed fundraising without a pitch deck and building AI patent tools attorneys can verify.
Patlytics and Paul Hastings co-host Tokyo IP Innovation Forum
Patlytics and Paul Hastings co-hosted Tokyo's inaugural IP Innovation Forum on the direction of patent practice in Japan and the US.
Paul Lee appears on The Geek in Review podcast
Patlytics CEO discussed why patent AI needed a dedicated platform and what changes when one exists.
Patlytics vs Solve Intelligence comparison published
Vendor-published comparison of Patlytics and Solve Intelligence across patent analysis, drafting, prosecution and claim charts.
Patlytics publishes guide on drafting patents with AI
Step-by-step guide covering AI patent drafting practices for accuracy, compliance and speed.
Patlytics launches Agent, an AI reasoning layer for patent work
Agent launched as an AI reasoning layer across patent workflows, backed by 200+ Skills.
What people actually say about Patlytics — is it worth it?
We scanned public community sources for Patlytics on Sep 9, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to Patlytics. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Patlytics? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Agent AI reasoning layer spanning patent workflows, powered by 200+ Skills
- Patent application drafting with custom templates and line-by-line agentic editing
- Infringement detection with crawling for evidence of use across public sources
- Auto-generated, citation-backed claim charts
- Invalidity analysis with §102/§103/§112 arguments
- Obviousness combinations with motivations to combine, written description and enablement checks
- Freedom-to-operate analysis with flagged launch risk by jurisdiction
- Standard essential patent (SEP) essentiality charts against indexed standards materials
- Claim construction that is prosecution-history aware
- Patent & NPL semantic search across 130M+ patents and 300M+ literature, bounded by date range
- Office action analysis and response drafting
- AI-powered invention disclosure (IDF) with structured forms
- Patent pruning to identify high and low potential assets
- Patent Vault with automated classification
- Portfolio Analysis with agent-driven ranking and competitor heatmaps
About Patlytics
Patlytics is an AI-native platform that covers a wide span of patent work in one interface: patent application drafting, office action analysis, invention disclosures, infringement detection with auto-generated claim charts, invalidity analysis with §102/§103/§112 arguments, freedom-to-operate clearance, standard essential patent (SEP) essentiality charts, claim construction grounded in prosecution history, and portfolio analysis with patent pruning. At the center is Agent, an AI reasoning layer launched in August 2026 that spans those modules and is powered by 200+ Skills (up from 150+). Two details set the platform apart from point tools. First, outputs are citation-backed: claim charts, invalidity contentions and FTO flags are pinned to source documents so a reviewer can verify the work rather than rebuild it. Second, search is deep — the platform searches 130M+ patents and 300M+ literature references, with semantic search and date-bound queries that feed results directly into the invalidity, IDF and drafting modules. The buyer is an IP professional with volume: patent prosecutors drafting applications and answering office actions, litigators building infringement and invalidity positions, and portfolio managers triaging hundreds of assets. Patlytics reports an Am Law 100 practice group ran a 120-patent project in 20 hours instead of 100 — an 80% time reduction worth roughly $38,000 in added margin — and a publicly traded biotech estimating $5,000–$7,500 saved per application. Asahi Kasei reported cutting investigations from months to hours, with $1,000–$5,000 minimum saved per detection report. Recent moves include a $40 million Series B to expand the platform, European patent intelligence with regional hosting, competitor monitoring through portfolio heatmaps, and My Drive for centralizing files and AI workflows. A Relativity integration is in waitlist stage. Pricing is quoted rather than published, so budget planning requires a conversation with the vendor.
Behind the Verdict
What Patlytics gets right is the thing most patent AI gets wrong: it does not ask you to trust an answer. Claim charts, invalidity contentions and FTO flags are pin-cited to the underlying reference — a teardown page, a datasheet section, an FCC filing, a paragraph in a prior art patent — so the reviewer's job becomes verification rather than reconstruction. In litigation and prosecution, that is the difference between a tool you can bill on and a tool you have to double-check from scratch. The module map is unusually wide for a single platform. Infringement detection crawls public sources for evidence of use and produces claim charts built on auto-generated claim construction. Invalidity searches both patent and NPL prior art, builds contention-style charts across multiple references, and handles obviousness combinations with motivations to combine plus written description and enablement checks. FTO starts from your own product materials, screens hundreds of potentially relevant patents and applications at once, and flags launch risk by jurisdiction. SEP work produces citation-backed essentiality charts against indexed standards materials covering cellular, Wi-Fi, video and audio coding, and memory families. Claim construction is prosecution-history aware and feeds the infringement and invalidity modules downstream. On the drafting side, applications are generated from an invention disclosure in your own templates and style with line-by-line agentic editing you approve. The Agent launch in August 2026 is the structural change. Rather than a chat box bolted onto a search index, Agent is a reasoning layer over the 200+ Skills — it ranks assets, refines arguments, and packages finished work, so Portfolio Analysis returns a ranked shortlist (the demo case surfaces the 12 strongest reads against a named competitor's product line) instead of a flat list. Patent & NPL Search is semantic and date-bounded, and any hit can be sent straight into invalidity, IDF or drafting without re-uploading context. Where it fits: Am Law 100 IP groups, Fortune 500 corporate IP departments, and litigation teams running repeated, high-volume chart and analysis work where a citation trail is mandatory. The European patent intelligence with regional hosting makes it usable for multi-jurisdiction portfolios, and My Drive centralizes files and workflows in one place. Where it does not: solo practitioners and small firms working to a fixed budget, teams that only need a prior art search and nothing downstream, and non-IP professionals who want patent data without legal analysis. The commercial model is the real constraint — pricing is by quote, so there is no published rate card to plan against, and the ROI case is built on hours and margin recovered at volume, which is a weak case if you file a handful of applications a year. A Relativity integration is listed but still in waitlist, so litigation teams should not assume it is live in their stack today. Treat the reported
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Real-world workflow fit
Concrete scenarios for the personas Patlytics actually fits — and what changes day-one when you adopt it.
Upload a competitor's product materials, let the platform crawl public sources for evidence of use, and generate a citation-backed claim chart with auto-generated claim construction, then run invalidity on the same claim set with prior art already in the search index.
Outcome: A defensible chart set where every match is pinned to a teardown page, datasheet section or filing, ready for attorney review rather than rebuild.
Load 120 assets into Portfolio Analysis, let Agent rank them against a named competitor's product line, and export a heatmap of the strongest and weakest reads for the next pruning cycle.
Outcome: A ranked shortlist instead of a flat list — the vendor reports a comparable 120-patent project completed in 20 hours rather than 100.
Drop an invention disclosure into the drafting module, generate a full application in the firm's template with jurisdiction and technology-appropriate prompts, accept or reject suggested edits line by line, then run an automatic prior art and written description check from the draft.
Outcome: A filing-ready draft the vendor reports saves $5,000–$7,500 per application, with claim sets its customer's Chief IP Counsel called noticeably better in quality.
Use Cases
- Draft a filing-ready patent application from an invention disclosure in your firm's template and style
- Generate citation-backed infringement claim charts mapping a claim against multiple competitor products
- Build invalidity contentions with §102/§103 arguments and pin-cited prior art references
- Run freedom-to-operate clearance across US, EP and CN before a product launch
- Produce SEP essentiality charts aligning claims to 3GPP and other standards documents
- Rank and prune a 120-patent portfolio to surface the strongest reads against a competitor
- Analyze office actions and draft responses with AI-assisted editing
- Convert raw invention disclosures into structured, decision-ready IDF records
Limitations
- Patlytics is priced by quote rather than a published rate card, so you cannot estimate cost from the site and budget planning requires engaging the vendor.
- The strongest published ROI cases assume high volume — an Am Law 100 group's 120-patent project and a biotech filing frequently enough to save $5,000–$7,500 per application — so the value case weakens for teams filing only a few applications a year.
- The Relativity integration is listed as waitlist, so litigation teams cannot assume it is live in their stack.
- The sources for this pass do not reach a pricing page, changelog or developer documentation, so nothing here should be read as a statement about specific plan tiers, release cadence or API availability.
- Reported time and margin figures are vendor-published customer results and should be validated on one real matter before a practice-wide rollout.
as of 2026-09-29
Verification history
We have re-verified Patlytics 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Patlytics's pricing actually pencils out — and where peers do it cheaper.
Patlytics is quote-priced, which places it alongside enterprise IP platforms rather than per-seat legal AI subscriptions — the economics work for Am Law 100 groups and Fortune 500 IP departments recovering hours on 50-plus asset projects, and compare favorably on a per-matter basis against assembling separate search, charting and drafting tools. Solo practitioners and small firms are better served by lower-cost point tools for search or drafting alone.
Setup time & first value
How long it actually takes to get something useful out of Patlytics — broken out by persona, not the marketing-page minute.
For a moderate portfolio: uploading assets and running a first claim chart or invalidity analysis is a same-session task once the account is provisioned, and Agent ranking across hundreds of assets is on-demand. For an Am Law 100-style rollout, budget for a scoping conversation with the vendor plus template and prompt configuration before firm-wide use. Exact provisioning timing is not published.
Switching to or from Patlytics
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual claim charting: upload your evidence and prior art references, then regenerate the chart in the module and compare cell-by-cell against your existing work.
- →From separate prior art search tools: move the query into Patent & NPL Search across 130M+ patents and 300M+ literature references, then send hits directly into invalidity, IDF or drafting.
- →From spreadsheet-based portfolio tracking: load assets into Patent Vault with automated classification and let Portfolio Analysis rank them against the field.
- →From a general legal drafting assistant: start with one invention disclosure in the drafting module to compare output quality and citation coverage before switching over.
- ↗To Solve Intelligence: export your drafts and claim sets, since Patlytics publishes a direct feature comparison and the two overlap most on drafting and prosecution.
- ↗To manual workflows: retain exported claim charts and cited references so the analysis remains usable independently of the platform.
- ↗To a point search tool: keep your saved NPL and patent queries for reuse if the broader workflow modules are not needed.
Integrations
Resources & Guides
- Resourcepatlytics.ai
Best Patent Search Engine Software • Patlytics
Helpful link from patlytics.ai
- Resourcepatlytics.ai
Patentability Search: How AI Improves Prior Art Discovery and Patent Filing Decisions • Patlytics
Helpful link from patlytics.ai
- Resourcepatlytics.ai
The Best Office Action AI Software of 2026 • Patlytics
Helpful link from patlytics.ai
Tutorials & Learning
YouTube returned 6 videos for “Patlytics”, and we withheld 6: 6 could not be judged, because “Patlytics” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Patlytics.
Official links
Tools that pair well with Patlytics
Common stack mates teams adopt alongside Patlytics, with the specific reason each pairing earns its keep.
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Solve Intelligence
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Alternatives to Patlytics
View all&AI (YC S24)
AI workspace for patent litigation: prior art search, claim charts, invalidity analysis, and infringement detection
LEGALFLY
European-built legal AI for enterprises: research, contract review, drafting, regulatory monitoring and due diligence in one governed system.
Solve Intelligence
AI platform for patent drafting, prosecution, and litigation work, used by 700+ IP teams and law firms.
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