AI app for legal · no coding needed
Private knowledge capture and search workbench
Reduce time spent finding and checking matter material while keeping privileged documents inside the firm's own environment.
Made for: Solicitors, barristers and in-house legal teams handling confidential client documents
What it does for you
The problem
Client and matter knowledge sits in scattered files, inboxes and web pages, and public AI tools cannot be used on privileged material.
What it gives you
Cited, matter-isolated search results and source-checked drafts
What you give it
Permitted clientmatter filesURLsimagesnotesfirm style examples
Build your own version of ThirdAI PocketLLM, Docu Dig and more
One app with what these 8 AI tools do, yours to keep and change: ThirdAI PocketLLM, Docu Dig, RLAMA, Remio, Search Copilot, Liminary, Keepi, THEO.
Everything these tools do, in one app
- Local or private deployment Runs the AI processing on your own device or private infrastructure instead of the public cloud.Found in ThirdAI PocketLLM, Docu Dig, Remio
- Privacy-focused data handling Keeps your data private by processing it offline or avoiding long-term storage and training on it.Found in ThirdAI PocketLLM, Docu Dig, Remio and 1 more
- Capture documents and content Lets you add files, URLs, images, notes, and ideas into a personal or team knowledge base.Found in Remio, Keepi, THEO
- Context-aware search Understands the meaning of your query to return precise, relevant results from your documents.Found in Docu Dig, Search Copilot, Remio and 1 more
- Automatic organization Enriches and categorizes captured information so it is easy to find later.Found in Remio, Keepi
- Source citations and references Shows the exact location in the original document where retrieved information came from.Found in Docu Dig, Liminary
- Proactive context recall Automatically surfaces relevant saved material as you work without you having to search for it.Found in Liminary
- Fact-checking against sources Compares claims in your work against your saved library and flags gaps or unsupported statements.Found in Liminary
- Live meeting recall Links topics discussed in meetings to your existing saved material without a separate note-taking bot.Found in Liminary
- Collections for isolation Groups sources into separate collections so different projects or clients stay isolated.Found in Liminary
- AI writing assistance Helps draft, summarize, and complete text based on your own knowledge and writing style.Found in Remio
- Structured knowledge base output Produces a consolidated document of instructions and context that AI assistants can use.Found in THEO
- URL scraping and analysis Automatically pulls and analyzes content from multiple web pages starting from one URL.Found in THEO
- AI assistant compatibility Works with popular AI assistants that accept document uploads, such as ChatGPT and Claude.Found in THEO
- Language model benchmarking Tests and compares multiple language models across performance metrics and produces reports.Found in RLAMA
- Result export Lets you export evaluation or search results for further analysis and reporting.Found in RLAMA
- Real-time query suggestions Offers suggestions as you type to refine your search and improve results.Found in Search Copilot
- Multi-language support Handles queries and content in multiple languages for broader accessibility.Found in Search Copilot
- App and browser integration Connects with common applications, browsers, and productivity tools to fit existing workflows.Found in Search Copilot, Docu Dig, Liminary
- Messaging app interface Lets you capture and retrieve knowledge through a familiar chat app like WhatsApp.Found in Keepi
How it works, step by step
- Run AI processing on the firm's own device or private infrastructure
- Keep documents private by processing offline and avoiding training on client material
- Capture files, URLs, images, notes and ideas into matter collections
- Search by meaning across captured material
- Auto-categorise and enrich captured items for later retrieval
- Show the exact source location for every retrieved passage
- Surface relevant saved material automatically while drafting
- Flag claims in a draft that the library does not support
- Link meeting topics to existing saved material without a separate bot
- Isolate each client or matter in its own collection
- Draft, summarise and complete text from the firm's own material and style
- Produce a consolidated context document for AI assistants
- Scrape and analyse content from multiple web pages starting from one URL
- Export documents for assistants that accept uploads, such as ChatGPT and Claude
- Benchmark several language models on the firm's own evaluation set and report results
- Export search and evaluation results for reporting
- Suggest queries as the user types
- Handle queries and content in multiple languages
- Connect to common applications, browsers and productivity tools
- Capture and retrieve knowledge through a chat app interface
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Private knowledge capture and search workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Private knowledge capture and search workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links5 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data196 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce time spent finding and checking matter material while keeping privileged documents inside the firm's own environment. For solicitors, barristers and in-house legal teams handling confidential client documents, convert permitted files, URLs, images and notes into cited, matter-isolated search results and source-checked drafts. The benefit is a testable hypothesis, measured through search time per matter query and unsupported statements caught before filing; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted files, URLs, images and notes, then follow this sequence: 1. Run AI processing on the firm's own device or private infrastructure. 2. Keep documents private by processing offline and avoiding training on client material. 3. Capture files, URLs, images, notes and ideas into matter collections. 4. Search by meaning across captured material. 5. Auto-categorise and enrich captured items for later retrieval. 6. Show the exact source location for every retrieved passage. 7. Surface relevant saved material automatically while drafting. 8. Flag claims in a draft that the library does not support. Resolve uncertain cases with qualified reviewers, approve cited, matter-isolated search results and source-checked drafts, and measure search time per matter query and unsupported statements caught before filing against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One private deployment per firm and one approved document set; final legal advice, privilege calls and filing decisions remain with the qualified lawyer. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve privilege, source attribution, quotation accuracy and usage permissions. Qualified lawyers approve substantive advice and filing scope. One private deployment per firm and one approved document set; final legal advice, privilege calls and filing decisions remain with the qualified lawyer. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One private deployment for one firm and one approved document set; final legal advice, privilege calls and filing decisions remain with the qualified lawyer. Implement one approved input format, a bounded representative matter set and the first four task modules: run AI processing on the firm's own device or private infrastructure; keep documents private by processing offline and avoiding training on client material; capture files, URLs, images, notes and ideas into matter collections; search by meaning across captured material. Support the remaining modules with operator review: show the exact source location for every retrieved passage; flag claims in a draft that the library does not support. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Firm document management systems, email, browsers and permitted web sources. Cloud or on-premise storage, document import/export and assistant upload formats. Start with file exchange and validate destination specifications before promising direct filing or court-system integration. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Matter library and capture, Search and answer with citations, Draft and source-check, Stewardship console. Use a collection list for matters, a central search and reading pane, and a right-hand panel for citations, related saved material and review state. Let users compare a draft against its cited sources side by side. Display captured, indexed, reviewed and approved states. Provide a client-safe export link with citations anchored to the source passage. Make the task-specific outcome cited, matter-isolated search results and source-checked drafts visible beside its evidence, review state and value baseline.
