MemoryLake
Legal & IP

Give Patent and IP Teams AI That Remembers Every Prior Art Finding

Prior art research compounds over weeks. Prosecution history spans years. MemoryLake stores every finding, claim analysis, and filing milestone persistently — and gives your AI access to 10M+ USPTO patents without upload or preprocessing.

Day 1“Prior art research compounds over weeks.”✓ Got it, I will remember.Day 7 — new session“Same task again — can you keep the context?”× Sure — what was the context again?(forgot every detail you taught it)+ MEMORYLAKE LAYERMemory auto-loaded10M+ USPTO patents available without uploadPrior art findings that accumulate, not resetFull prosecution history in permanent memorySESSION OUTPUT✓ Same prompt, on-brand answerNo re-briefing required.

Give Patent and IP Teams AI That Remembers Every Prior Art Finding

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The Memory Problem

Patent prosecution and IP analysis involve long timelines where earlier findings directly affect later decisions. A prior art reference identified in a search three months ago should inform the claim amendment you're drafting today. But AI sessions don't carry that history forward. Every session, attorneys re-paste prosecution history, re-explain the claim landscape, and rebuild the prior art context that was already established.

What MemoryLake Does Differently

10M+ USPTO patents available without upload

10M+ USPTO patents available without upload

MemoryLake includes the full USPTO patent dataset as a native built-in. Run prior art searches, compare claim language, and analyze prosecution history without manual document preparation. Query it directly from any AI session.

MEMORYPrior art findings that ac…

Prior art findings that accumulate, not reset

Fact Memory stores every prior art finding with source attribution and conflict detection. When a new reference contradicts a prior analysis, MemoryLake flags it. Your prior art record builds over time rather than starting over each session.

MEMORYFull prosecution history in permanent memory

Full prosecution history in permanent memory

Conversation Memory stores every AI session involving claim drafting, office action responses, and filing strategy. Event Memory tracks prosecution milestones in order. Retrieve the complete history of any application across years of work.

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How It Works

  1. Connect — Access 10M+ USPTO patents as a built-in dataset, and bring in client files, prosecution records, and internal analyses via REST API, Google Workspace, or Dropbox. MemoryLake's D1 Engine parses complex patent PDFs automatically.
  2. Structure — Prior art references, claim analyses, prosecution events, and filing facts are stored in the appropriate memory type with full versioning and provenance tracking.
  3. Reuse — Any AI model you use — Claude, ChatGPT, Gemini — draws from the same persistent IP memory. Use the best model for each task without rebuilding prior art context from scratch.

Before & After

Without MemoryLakeWith MemoryLake
Resuming a prior art searchRe-establish scope and paste prior referencesFull search history and findings load immediately
Prosecution history accessManually compile from files and past sessionsEvent Memory holds complete prosecution timeline
USPTO patent accessManual search and document preparation10M+ patents queryable directly in-session
Cross-attorney matter handoffKnowledge lives in one attorney's session historyShared memory accessible with role-based permissions

Built For

MemoryLake is built for patent attorneys and agents managing prosecution across multiple applications and multi-year timelines, IP counsel conducting freedom-to-operate analyses and prior art searches, and innovation teams responsible for building and maintaining a defensible patent portfolio. It is especially useful in practices where matters are handled by multiple attorneys or need to survive personnel transitions without losing institutional knowledge.

Runnable demoabout 3 minutes

Try this use case on your own account

A patent firm's paralegal forwards three emails from foreign associates and a client into the docketing channel. Between them they hold six deadlines, each written relative to the day it was sent. Stored as received (one message: her note on top, the original below), extraction often remembers that "an email was received for docketing" instead of the deadlines inside it. Splitting each forward first, so the original is its own message from its author at its Date:, keeps far more of them.

What you will see

  • The same three forwards are stored twice, one project each: as received, and split by the app into the original (conv msg append --actor <author> --timestamp <Date:>) plus the paralegal's note
  • As received: 9 of 54 deadlines remembered with the right date over nine runs, 28 not remembered at all; in 5 runs at least one email left nothing but "was received for docketing". Split: 25 right, 11 missing
  • Asked through router chat --boundary, the docketing assistant gets 38 of 93 dates right from the as-received copy and 80 of 101 from the split one; the docket as of today misses the open deadlines that memory lost
  • Splitting does not make extraction do the date arithmetic: "60 days from 2026-09-21" and "four months from 2026-09-29" can stay unresolved in either copy. Plus memory and ask subcommands and a local web UI

You need: a MemoryLake API key · the memorylake CLI · Python 3.9+

Run it

git clone https://github.com/memorylake-ai/memorylake-usecases.git
cd memorylake-usecases/forwarded-email-memory
export MEMORYLAKE_API_KEY=sk-…
python3 demo.py          # or: python3 web/server.py
Open on GitHubRead the walkthrough

Watch it run · real, unedited recordings

CLI demo3:20Web demo3:52

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Frequently asked questions

Does MemoryLake cover international patent databases, not just USPTO?

The built-in dataset covers 10M+ USPTO patents. For international patent research — EPO, WIPO, JPO — you can connect external sources via REST API and store findings directly into MemoryLake's Fact Memory for persistent access and conflict detection.

How does version control work for claim language?

MemoryLake uses git-like versioning for all stored facts. Every version of a claim element, every amendment, and every office action response is tracked with a full history. You can retrieve any prior version and see exactly when and how it changed.

Can prior art research be shared across attorneys while protecting client confidentiality?

Yes. Role-based access control lets you define exactly who can access memory for a specific matter. You can share prior art research findings across a team while keeping client-specific facts restricted to authorized users. Full audit trails log every access event.

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