Patent Lightning

Patent Lightning

An AI platform for patent legal work, architected for the rules of professional responsibility.

Patent Lightning is a comprehensive document management and patent-practice platform in which language models perform agentic structural operations on canonical documents — decomposition, alignment, validation, comparison, gap detection, attack and defense of inferential paths — and deliver citation-anchored output that an attorney can verify directly on the original document images of the published patent, the file wrapper, and the record.

The platform supplies a substantial toolset — search, annotation, editor, claim chart construction, and library organization — that amplifies the attorney’s ability to analyze documents, communicate intent to the model, and verify the model’s work product. The attorney directs the operation and makes the legal judgment. The system performs the documentary labor.

Two surfaces

The platform has two first-class surfaces. A practitioner surface presents the analytic toolset to the patent attorney. An engineering surface is a prompt research and development environment in which practicing attorneys collaborate with language models to iterate task specifications under version control, with durable change logs and programmatic output validation. Both surfaces are production components. The practitioner surface is the proving ground where engineered tasks are validated against real work product.

Three design commitments
Documents are canonical.
The published patent and the file wrapper are the source of truth, not their token-stream derivatives. Patent Lightning aligns the official patent image, OCR with spatial data, and the USPTO text and XML into a single document, so every AI assertion can be anchored to a verifiable position on the canonical page — visually traceable to the exact passage it rests on without re-reading to verify what the model saw and wrote.
Operations, not conversations.
The system exposes discrete atomic graph maneuvers that compose the analytic work of patent practice. In market terms, these are bounded agentic workflows — attorney-directed, citation-constrained, programmatically validated. Task specifications are versioned engineering artifacts under a layered prompt taxonomy with programmatic output validation, not strings tuned until the demo looks right. The combination accommodates the user’s preferred workflow while avoiding cost and drift resulting from tokens directed other than to the user’s intended operation.
Attorney primacy is structural.
Patent Lightning amplifies the attorney’s skill and judgment rather than substituting for them — the AI performs the labor-intensive operations, the attorney directs them and draws the legal conclusions. The result is the defensibility that attorney involvement produces at the cost structure that AI delivery produces. The licensed professional retains the judgment, which is what the profession and the liability system require.
Principals

The principal authors bring fifty years of combined legal experience, including patent prosecution before the USPTO and intellectual property, commercial transactions, and litigation practice. Multiple patent applications covering the platform’s traditional and AI components are pending.

Beta is imminent
Features

Patent Lightning is not just another language model wrapper. It is built for the patent practitioner first — a working environment that replaces hours of mechanical documentary work (line counting, citation formatting, multi-column reading, search recall across matters) with capabilities that the attorney’s knowledge and experience drive directly. The AI sits inside that environment as a force multiplier on top of it, not as the platform’s sole reason for being.

What follows is the inventory of capabilities. Read as far as your interest takes you — the working environment first, the AI surface second, the document management and operational features last.

01

Read patents the way patent practitioners actually read them — with citations done for you

Practitioners read patents structurally, jumping between claims and specification, marking passages for return, comparing language across cited art, building up a working understanding through accumulated annotation. Patent Lightning supports every dimension of that reading mode: six color-coded markup categories that survive sessions, screenshot frames for figures, rich-text notes attached to every selection, a unified annotation document that surfaces every markup in one filterable place. And when a passage you have marked is ready to leave the patent — for a brief, an office action, an opinion, a memo — the citation is already done for you. Drag-select, copy, paste — the page-column-line citation lands in the clipboard with the text, in the style your firm uses, with no manual counting.

  • Automatic precise citations on every selection. Page-column-line, in multiple styles, last-used style remembered, copy with one click. The litigator’s citation work is done by the platform.
  • Six color-coded markup categories — priority, issues, review, complete, attention, questions — with highlight or underline rendering, per-selection lock, per-selection visibility toggle.
  • Rich-text notes on every selection — full word-processor formatting (fonts, sizes, bold, italic, super- and subscript, colors, alignment, lists, indentation) in draggable post-it popups that travel with the selection.
  • Screenshot frames around figures and any region of the page, with the same lock, color-category, and notes machinery as text selections; move with mouse or arrow keys, resize via edge handles.
  • Unified annotation document with extensive filtering — every markup across the patent in one place, sortable and filterable by category, page, or content.
  • Bookmarks anywhere in the patent, with claim pages bookmarked automatically.
  • Two-column drag-select that produces text in reading order — no more fighting PDFs to copy patent content from dual-column layouts.
  • Math, chemistry, Greek letters, and special characters render correctly because the ingestion pipeline preserves them rather than flattening them to OCR approximations.
  • Export to annotated PDF for hearings, depositions, and clients who want paper — the patent pages with your highlights on them and your notes in margin boxes you arrange yourself.
  • Progressive page rendering so a long patent is usable before it finishes loading.
Citations come from a unified word-positioning fabric that aligns the patent image, USPTO text, USPTO XML, and OCR layer into a single coordinate system. Every citation is mechanically precise, not estimated.
02

Search built for the way patents are actually read

Search a patent and the results come back split into two panels: hits inside the claims, hits everywhere else. The distinction matters — invalidity work is looking for support outside the claims, infringement work is looking for it inside the claims, and the platform sorts results into both buckets so you can read each set separately.

  • Per-patent search history that persists encrypted to your account. When you return to a matter months later, the searches you ran the last time on each patent are right there — the cluster of search terms attached to each patent is your matter-specific search vocabulary, ready for more work.
  • Progressive search with a word-coverage threshold. Tell the platform how many of the words in your search phrase must appear in any matching sequence in the document — so a search for “pulse width modulation control circuit” with the threshold set at five-of-six still surfaces the patent’s “pulse width modulation control” phrase even though the matching passage omits one word.
  • Drag-select any phrase in the patent and the search panel populates and runs immediately — no typing, no copy-paste.
  • Multi-term search with semicolon separation; build queries incrementally with shift-drag.
  • Cross-patent search delegation across browser tabs — open multiple related patents in separate windows, and the search panel in any of them shows tabs for the others.
  • Apply highlight categories to results in another patent from inside your current panel — the colors land on the other patent and stay there, so you can mark up an entire family of related patents from one search session.
03

Claim charts as actual deliverables

Patent Lightning ships with a full suite of pre-defined claim chart templates spanning the analytic operations of patent practice — invalidity, infringement, claim construction, post-grant proceedings, ITC, licensing, portfolio analysis, damages, and more. Each template is a column structure designed for that specific operation, not a generic table you have to retrofit. Every cell is fully formattable in real word-processor controls. Export the finished chart as a real Microsoft Word document, ready to drop into a brief or send to a client.

  • Real word-processor formatting in every cell — fonts, colors, bold, italic, lists, alignment.
  • Insert and delete rows and columns, merge cells, drag columns to reorder, resize columns to the proportions you need.
  • Page setup with size, orientation, and margins; multi-page layout with proper pagination.
  • Full undo and redo through complete edit history.
  • Real .docx export — an actual editable Microsoft Word document, not a bitmap of one.
  • Forthcoming: direct integration with the AI task framework, so AI tasks can produce output formatted into any chart template the practitioner picks.
The AI surface, sitting on top
04

AI tasks that cite the page

When Patent Lightning’s AI does work on a patent for you, every assertion it makes carries a citation that resolves to the exact word at the exact position on the patent image. Click the citation; the viewer opens to that page and highlights the exact passage. The citations are not summaries the AI produces — they are positional anchors mechanically tied to the document the AI read, so a wrong citation cannot be invented.

The platform’s first AI task is claim-to-specification mapping — a bounded agentic operation in which the attorney defines the document set, legal posture, and output form, and the system autonomously performs the documentary mapping, validation, and formatting within those bounds. Beyond that, the AI surface is built on a data-driven framework architected to host more than 140 distinct task configurations spanning the analytic operations of patent practice. Each task is a versioned, layered prompt configuration, not a hardcoded handler — the framework expands by adding configurations rather than rewriting code.

  • Live today: claim-to-specification mapping. Point the AI at a target patent and your reference materials; receive a complete claim chart with every claim element mapped to supporting passages, every mapping rated for support strength, every term match noted, every gap flagged.
  • Architected for 140+ tasks across invalidity (§102, §103), infringement (literal, doctrine of equivalents), claim construction at Markman stages, prosecution drafting, post-grant proceedings (IPR, PGR), file wrapper analysis, freedom-to-operate, damages, and licensing.
  • Your annotations become AI guidance. Highlights the practitioner has placed on the patent flow into the AI’s context as inline markers; rich-text notes attached to those highlights flow in as an annotation legend the model consults when interpreting the work.
  • Layered, versioned prompt taxonomy — system, operation, domain, task, and supplement layers, each independently maintained, with structured output validation. Adding a new task is a configuration change, not an engineering effort.
  • Click-through verification. Every cell in an AI-generated claim chart links back to the source word in the source patent; the lawyer never has to wonder where the AI got that.
The AI sees the patent through the same word-positioning fabric the human reader sees, so its citations are addressable in the same way yours are.
05

Use any AI you want

Patent Lightning’s tasks run against the platform’s own engine by default, with results landing directly in your library. But every task can also be run as a downloadable prompt file you take to whatever AI you prefer — a public chatbot, your firm’s licensed model, an internal corporate AI bound by your data-processing agreement.

The downloaded prompt is the same versioned, layered, citation-strict instruction the platform’s own engine uses, with explicit rules forcing the responding AI to preserve Patent Lightning’s positional citation format. Paste the AI’s response back, click submit, and the response flows through the same pipeline that produces the artifact in your library — citations resolved, output formatted, folder routing handled.

  • Your firm’s AI relationship stays your firm’s AI relationship.
  • Your work stays under your governance regardless of which AI vendor processes it.
  • The platform’s citation discipline carries through to outputs from any AI you bring.
  • You are not married to one model, ever.
Documents in, documents out
06

Patents by the dozen — backed by our own library

Type any patent number in any format — granted patent, published application, reissue — and Patent Lightning brings the patent into your library. Paste a list of fifty numbers from a brief and they all come in together. Drop an office action, a brief, a memo, or any other document containing patent numbers into the library, and the platform extracts every valid number with surrounding context, presents them for review with a checkbox per patent, and brings everyone you confirm.

Patent Lightning maintains its own in-house library of the official text and XML files for every U.S. patent and published application from 1976 to the present, refreshed weekly. Text and XML files are not as straightforward to obtain from USPTO as PDFs are — having a curated, indexed, weekly-refreshed in-house library back to 1976 is real infrastructure, and it is what powers the platform’s search index, citation system, claim parsing, and AI surface. The visual PDF document the practitioner reads is fetched live from USPTO.

  • In-house text and XML library for every U.S. patent and published application from 1976 to the present, refreshed weekly. The structured data layer that powers search, citation, and AI.
  • Live USPTO PDF retrieval for the visual document — the patent the practitioner reads, marks up, and exports.
  • Document-driven bulk import from PDF, Word, plain text, and XML — the platform extracts every patent number with 20-word surrounding context, presents them for your review, and brings them all in.
  • Full ingestion pipeline for every patent: text aligned to image position, claims numbered, dual-column layout reconstructed in reading order, math and chemistry rendered correctly, every word indexed for citation.
  • Forthcoming: an in-house PDF library, eliminating the live USPTO dependency for the visual document as well.
07

Bring your own documents

Office actions, prior art memos, draft applications, file histories, third-party research reports, your own working notes — they belong in your patent library too, not scattered across your file system. Upload PDFs, Microsoft Word documents, plain text, Markdown, or rich-text files. They sit in the same folders as your patents, with the same encryption protecting them, available to the same AI tasks you can run against any patent.

  • Supported formats: PDF, .docx, .txt, .md, .rtf.
  • Same library, same folders, same AI surface as patents.
  • Encrypted with your master key the moment they leave your browser.
08

The in-platform editor — when the source has no file

Some documents do not start as files — they start as a list of patent numbers from a phone call, a draft of new claim language, a memo you are dictating to yourself, a record of an interview, a working summary you build as the matter develops. Patent Lightning gives you a full word processor right in the platform, and what you create saves into your library as a first-class document available to AI tasks the same way an uploaded document is.

  • Full ribbon and formatting toolbar — fonts, sizes, colors, alignment, lists, indentation, headings, links, tables, super- and subscript, undo and redo through complete edit history.
  • Page setup, page navigation, page indicator with go-to-page, and dual-mode rendering (continuous or paginated).
  • Save as Word, save as PDF, save as Patent Lightning document — the editor produces output in the format you need.
  • Bidirectional AI integration: editor documents can be selected as targets or references for AI tasks; AI tasks can write outputs that you open in the editor for further work.
  • Your work product gets the same place in the library as the documents you receive.
09

Organize your work however you want

Folders, sub-folders, sub-sub-folders, as deep as you need them. Drag patents and folders between locations; cut, copy, and paste with a real clipboard that knows what it is holding. Bulk-select with checkboxes. The platform does not impose a structure on your matters — you build the one that fits how you actually work.

  • Drag-and-drop with shift-to-move; floating tooltip shows copy or move.
  • Real clipboard for patents, charts, notes, folders, and mixed selections.
  • Bulk operations on multiple items at once.
  • Soft-delete to a Deleted Items trash with selective or bulk restore.
  • Automatic purge after thirty days; manual purge anytime.
10

Take your work with you — in real formats

Everything you produce in Patent Lightning can leave Patent Lightning in the formats your firm actually uses. Annotated patents, claim charts, editor documents, AI outputs — all of them export to real Microsoft Word and to real PDF, not to bitmap images of either, ready to drop into a brief, file with a court, send to a client, or attach to an email.

And anything you save can come back. Save any document from the platform to your computer as a self-loading web page; double-click it later and it reopens in Patent Lightning with all of your annotations, highlights, and notes restored. Email the file to a colleague who has Patent Lightning and they see your work the way you saw it.

  • Save as Microsoft Word — real .docx output for patents with annotations, claim charts, editor documents, and AI outputs. Editable in Word; not a bitmap.
  • Save as PDF — real .pdf output for any document type, with annotations rendered onto the pages and notes arranged in margin boxes you control.
  • Save as Patent Lightning document — self-loading HTML that reopens in the application with one click, all annotations and notes restored.
  • Full-folder backup as a single zip archive — every subfolder, every patent, every annotation, every chart, every note, decrypted into a portable archive.
  • Restore from backup back into your cloud library at any time.
  • For matter handoffs, end-of-engagement records, regulatory holds, court filings, client deliverables, or your own peace of mind — your work is yours, your firm’s formats are your firm’s formats, and the platform never gets in the way of either.
Built for a working practice
11

Share specific work with specific people

Share specific folders with specific people — team members, co-counsel, expert witnesses, or anyone else who needs access to a defined slice of your library. They see what you give them access to and nothing else.

  • Per-folder member management with permission levels.
  • Concurrent edit handling so two people working on the same matter do not step on each other.
  • Per-shared-folder encryption keys — what you share is readable only by the people you have shared it with.
  • Patent Lightning itself cannot read shared content any more than it can read your private content.
12

Built for every member of your team

Patent Lightning is built to be operable by every member of your team, regardless of their accessibility needs. The keyboard commands are not an afterthought layer over a mouse-first interface — they are a parallel command surface designed deliberately, with screen-reader announcements at every step.

  • Built-in text-to-speech through the browser engine, with full compatibility for the commercial screen readers your firm already licenses; preferences shared across every page.
  • Color-assist mode that adapts the six markup categories for colorblind practitioners.
  • Complete parallel keyboard command surface — every menu, every popup, every annotation, every search result, every grid cell in every chart is operable from the keyboard alone.
  • Dedicated keyboard modes for creating highlights and cycling through existing ones, with the markup palette navigable as a 6×3 grid via arrow keys.
  • Screen-reader announcements at every interaction, with ARIA roles and labels throughout.
13

Your work stays yours

Patent Lightning never has the technical ability to read your work. Not your notes, not your annotations, not your claim charts, not the documents you upload, not the AI outputs the platform generates for you, not what you share with your team. This is not a privacy policy commitment we ask you to take on faith — it is the platform’s foundational architecture.

The exception is patents themselves: issued patents and published applications are public-domain documents, so the platform handles them as the public records they are. Everything you do with those patents — every annotation, every note, every chart, every AI output — is yours alone, encrypted with a key only you hold.

For your security and IT teams
  • AES-GCM 256-bit symmetric encryption with authenticated encryption (128-bit GCM tag) for all user-generated content.
  • PBKDF2-SHA-256 with 310,000 iterations and a 32-byte cryptographically-random salt for password-based key derivation.
  • Master key derived in the browser via Web Crypto API. The master key never leaves the browser and is never transmitted to the server in any form, hashed or otherwise.
  • RSA-OAEP-256 key wrapping for AI outputs and shared documents — per-document keys, wrapped client-side, unwrapped client-side at access.
  • The platform stores ciphertext exclusively. No key escrow. No recovery channel. No platform-side decrypt path.
  • Shared folders use distinct shared-folder keys, so collaborator access is cryptographically scoped to the folders you have explicitly shared with them.
  • Search history, session indices, and folder structure are encrypted with the same master key as document content.
Your work is yours alone, by mathematics, not by promise.
14

Session management built for billable work

Sign in once and every patent, every chart, every editor window you have open recognizes you. Configure your session to whatever fits your workday. Set the platform to lock automatically when you step away from your computer, so client work is protected when you walk to a meeting.

  • Configurable session duration from a fifteen-minute session for quick lookups to an eight-hour session for a full day’s work.
  • Automatic lock-after-idle at the period you specify, to protect client work when you step away.
  • Auto-save across the patent viewer, claim chart builder, and editor, with a visible countdown so you always know when your last save happened.
  • Cross-tab session coordination — sign in once, every tab recognizes you.
  • File-open conflict detection — when you try to open a file already open in another tab, the platform tells you before you overwrite your own work.

The capability set above is what is built into the platform today. The architecture is designed to extend with each new AI task, each new export format, each new collaboration channel. Beta is imminent.

Law as a Documentary Graph

Patent Lightning is built upon a unified theory of AI employment in legal matters. A legal matter is modeled as an evolving documentary graph in which documents serve as the primary nodes over spoken words, because documents stabilize the institutional state of a matter in durable, inspectable form. Spoken words enter the graph in the form of transcripts and other documentary artifacts. The edges in this graph are legally operative inferential connections, each anchored to identifiable positions within the documents it joins: a claim limitation supported by a specification passage, an examiner rejection citing a prior art reference, a contract clause obligating a party. The practice of law is not the graph itself. It is the construction, analysis, and presentation of the graph for the purpose of guiding a decision-making authority’s traversal to the practitioner’s desired terminal outcome node.

The legal system in the United States is adversarial, and the documentary graph is contested. Lawyers create, defend, and attack inferential paths through persistent documentary structures. AI assisting legal practitioners should therefore be understood not as a general conversational engine but as a tightly supervised agentic operator — focusing on legal graph maneuvers dictated by a supervising attorney. The attorney’s true communicative act toward such a model is the invocation of one or more graph operations; natural language tokens serve the maneuver only insofar as they specify, constrain, and preserve it. The underlying platform must therefore be designed as a deep and richly instrumented surface for attorney-directed graph work, maximizing the supervising attorney’s communication with and control over the model at every step.

Because the lawyer acts as advocate, the operator must be aware that it operates within a dispute context, on behalf of a represented side. The model’s output is directed toward working these paths truthfully and in the light most favorable to that side. The model must also understand who its audience is in any given phase of a legal graph maneuver, because a single maneuver will often require iterative employment to produce parallel outputs for different audiences — each calibrated to its recipient while remaining faithful to the same underlying graph, and each balancing the attorney’s concurrent duties of candor and vigorous representation. These balancing judgments belong to the attorney alone, and the platform is built to amplify the attorney’s ability to verify that the model’s output adheres to them.

Contact

For beta access inquiries, availability updates, collaboration opportunities, or other introductions:

info@patentlightning.com