# DONNA — Product Brief

> *"I'm Donna. I know everything."*

A one-page brief for the open-source product behind the **AI That Suits You** parody.

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## Naming

**Primary name.** `donna`
**Long form.** DONNA — *Distributed Ontology, Notes & Negotiation Atlas*
(Yes, the backronym is the joke. The real reason for the name is the character.)

**Tagline candidates** (in order of strength)
1. *The memory layer your AI stack forgot.*
2. *I know everything. So your AI doesn't have to pretend.*
3. *Reasoning is performance. Memory wins cases.*

## Domain

| Domain | Status | Use |
|---|---|---|
| `ai-that-suits-you.com` | **owned** | Marketing landing page |
| `aithatsuitsyou.com` | **owned** | Marketing alias / redirect |
| `donna.ai-that-suits-you.com` | available as subdomain | Product landing — **launch with this first** |
| `askdonna.ai` | suggested to register | Product home long-term (~$70/year) |
| `donna.law` | premium TLD, ~$50/year | Optional vanity domain |
| `iknoweverything.dev` | suggested | Dev / docs portal |

**Recommendation.** Launch as `donna.ai-that-suits-you.com` (free, owns the domain), reserve `askdonna.ai` for the longer term. Do **not** chase `donna.ai` — almost certainly taken or astronomically priced.

## Positioning

**One-line.** DONNA is the open-source memory and anticipation layer that sits underneath your existing legal-AI stack.

**Category.** "Context layer" / "agent memory" for legal work. Adjacent to but not competing with: Harvey AI, Legora, mike.oss, Spellbook, Lexis+, Westlaw.

**The wedge.** Every legal-AI tool on the market in 2026 is great at *reasoning over a single prompt*. None of them are good at *remembering across prompts, across counterparties, across months*. The tooling you actually need to be good at law — relationship memory, preference inference, tone-shift detection — is exactly the stuff missing from the demo videos. That's the gap DONNA fills.

**Why now.**
- The agent memory problem is unsolved at the foundation-model layer in 2026.
- The legal market has eight-figure spend on AI tools and zero standardised way to feed institutional memory back into them.
- Open-source alternatives are now industry-credible (mike.oss proved it).
- nDSG / GDPR pressure is pushing serious firms toward local-first tooling.

## Donna's superpowers (Suits → product features)

Each capability is mapped from a canonical Donna trait.

| Donna in *Suits* | DONNA the product |
|---|---|
| Anticipates Harvey's next move | **Anticipatory drafting**: detects recurring patterns in your work and surfaces them ("you always add Section 7.4 for vendors > 50 FTE — adding") |
| Encyclopaedic memory | **Relationship store**: SQLite-backed graph of every counterparty, every clause negotiated, every concession made |
| Reads people without speaking | **Tone-shift detection**: tracks tone over time per counterparty, flags inflection points |
| The look | **Quiet recommendations**: never speaks unless asked, but the answer is ready |
| The file | **Full-text recall**: every email, every doc, every note, indexed and queryable in natural language |
| Discretion / Anwaltsgeheimnis | **Local-first by default**: SQLite on-disk, no telemetry, bring-your-own-LLM for any cloud reasoning |
| Donna actually runs the firm | **Cross-tool integration layer**: feeds memory into Harvey/Legora/mike.oss prompts via a thin adapter |

## MVP scope (v0.1.0)

The package that ships with this download in `donna-mvp/`.

- **Core memory.** SQLite-backed `MemoryStore` with `people`, `interactions`, `preferences`, `clauses` tables.
- **Ingestion.** `ingest()` accepts free-text emails / notes, runs lightweight rule-based entity extraction (names, dates, money, clause headings) plus an optional pluggable LLM extractor.
- **Personality wrapper.** `Donna.say()` returns model output filtered through a Donna voice template — concise, knowing, slightly amused.
- **CLI.** `donna remember`, `donna ask`, `donna brief`, `donna who`.
- **Examples.** Sample seeded dataset (`examples/sample_emails.json`) so the demo runs out of the box.
- **Tests.** Pytest suite covering memory, ingestion, personality.
- **CI.** GitHub Actions workflow for lint + tests on every PR.

## Roadmap (post-MVP)

| Version | Scope |
|---|---|
| v0.2 | LLM-backed extraction (Claude / OpenAI / local Ollama), embedding search |
| v0.3 | Adapters: Outlook, Gmail, iManage, NetDocuments, Skribble webhooks |
| v0.4 | "Thin client" injection into Harvey, mike.oss, Legora prompts via context-window middleware |
| v0.5 | Multi-user firm mode (auth, ACL, shared and private memory partitions) |
| v0.6 | Tone-shift detection model |
| v1.0 | nDSG/GDPR compliance pack: DPIA template, transfer-impact assessment, audit-ready logs, optional QES integration via Skribble |

## Licence & governance

- **Licence**: MIT (permissive, contributor-friendly, no friction for law-firm adoption)
- **Governance**: BDFL initially (operator pseudonymous; identified to qualified parties on request), with a 3-person steering committee invited from the legal-tech and OSS community by v0.5
- **Code of Conduct**: Contributor Covenant v2.1, tweaked with Donna voice
- **Trademark**: "Donna" the word is a common given name — not registrable. Logo and combination mark `DONNA · ai-that-suits-you` is registrable as figurative mark CH/EU class 9 (software) and class 42 (SaaS). Reserve once traction warrants.

## Monetisation (optional, secondary)

The user explicitly de-prioritised monetisation. Listed for completeness only.

| Model | Notes |
|---|---|
| Donor / sponsor model | GitHub Sponsors + OpenCollective. Low effort. |
| Hosted Donna ("Donna Cloud") | Managed multi-tenant for firms that don't want to self-host. €19/user/month bracket. Recurring. |
| Donna Enterprise | On-prem support contract, SSO, audit pack, SLA. €25-50k/year per firm. The actual revenue line. |
| Adapter store | One-click connectors to iManage, NetDocs, Outlook, Skribble. €99 each, or bundled in Enterprise. |
| Newsletter "Donna's Diary" | Weekly in-character commentary on legal-tech news. Sponsored slots €500-2k. The marketing flywheel that costs nothing. |
| Merch | Mug "I'm Donna. I know everything." Tote "The look." A t-shirt for every season. |

The economic model that *fits the parody best*: stay open source, build the audience through the show, monetise the firm-grade enterprise edition. Same playbook as Mattermost, GitLab, Posthog. Different jokes.

## Risks

| Risk | Mitigation |
|---|---|
| NBCUniversal sends a cease-and-desist | Disclaimer is loud and prominent; no logos / footage / scripts used; satire defence solid in CH and US, narrower but viable in UK and EU |
| Harvey / Legora / mike.oss object | Trademark fair use applies; nominative use only; right-of-reply offered; we link to their actual sites and report their actual valuations |
| "Donna" name collision with another product | Common given name, not registrable as word mark for general use; product name is `donna` package, brand is `DONNA · ai-that-suits-you` combination mark |
| The joke wears out | Parody opens the door, product keeps people in the room. The MVP has to actually work. It does. |
| LLM access cost for users | Bring-your-own-key model, like mike.oss. Zero cost to project, zero lock-in for users. |

## Launch plan (high level)

1. **Week 0**: Publish landing page, repo, parody disclaimer. PR to legal-tech press.
2. **Week 1**: Reddit (r/LegalTech), HackerNews "Show HN", LinkedIn legal-tech community, ArtificialLawyer.
3. **Week 2**: First two adapter integrations (Outlook + Skribble) to anchor "this is real".
4. **Week 4**: Episode 5 — the Swiss merger — released as a video short.
5. **Quarter 1**: First firm pilot (target: a 30-lawyer Zurich boutique).
6. **Quarter 2**: v0.5 multi-user, first paid Enterprise pilot.

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## What this brief leaves out (intentionally)

- **A pitch deck.** That comes after the first ten installs.
- **A pricing page.** That comes after the firm pilot.
- **A founding team page.** That comes after we know who else wants in.

Donna doesn't announce. Donna delivers.
