AnonLQ

CaseKit is a free, open-source desktop application that helps you organise a consumer dispute from first complaint to court hearing — entirely on your own computer. Upload your documents, and CaseKit sorts them into evidence folders, extracts key dates into a chronology, and walks you through the procedural steps of bringing or defending a small claim. Nothing leaves your machine: no cloud accounts, no subscriptions, no data harvesting. Your case files stay in a plain folder on your hard drive that you control — you can open them, move them, or delete them at any time without asking anyone's permission. If you choose to use the optional AI features for drafting or merits analysis, you bring your own API key and the requests go directly from your device to the provider — CaseKit never sees your key or your data. CaseKit does not provide legal advice, all decisions are your own. Casekit just helps you to organise, as well as to be realistic and informed. Whether you're representing yourself or preparing to instruct a solicitor, CaseKit saves you the most expensive thing in litigation: time. Self-representing litigants can use the procedural roadmap, letter templates, and court form links to navigate the process without paying for guidance on steps they can handle alone. If you're planning to instruct a solicitor, arriving at your first meeting with an organised bundle — documents categorised, chronology built, key issues identified — means you spend that meeting on strategy rather than on your lawyer reading through a carrier bag of unsorted paperwork at £300 an hour. Either way, the AI merits assessment gives you a frank, objective, structured view of the strengths and weaknesses of your position before you commit to a course of action. CaseKit also includes something no other consumer legal tool offers: a Citation Auditor that verifies whether legal citations actually exist. Paste any AI-generated legal text, an opponent's skeleton argument, or your own draft, and CaseKit extracts every case law citation, then checks each one against BAILII and the National Archives — the two public legal databases that hold virtually every reported judgment in England and Wales. It tells you instantly whether each cited case is real, whether the name matches, and flags anything suspicious. Don't be that litigant. CaseKit is still under development, do not rely on this tool yet.

Collate is a browser-based tool for litigation lawyers that turns messy multi-reviewer feedback into a single view. Lawyers drop in several marked-up Word documents from counsel, partners, clients, and juniors; Collate parses comments, track changes, and inline edits, merging them into a paragraph-by-paragraph checklist with resolution status. Manual feedback from calls, emails, or meetings can be added and treated like extracted comments. It’s built to be a checklist and review aid, not an auto-merge tool — the lawyer stays in control and makes the edits in Word. Everything runs in the browser. A Rust engine compiled to WebAssembly parses DOCX files locally, and a React UI presents the collated feedback. A strict Content Security Policy blocks outbound network requests, so privileged documents never leave the machine and nothing is uploaded to any server. The tool works offline, and IT or compliance can verify this from the source code and CSP headers. Collate was built in about 90 minutes by a practising UK litigator using AI-assisted development. It supports inline diff display, wholesale paragraph insertions and deletions, multi-document merging via approximate paragraph matching, bulk resolution actions, search, and HTML/JSON export. The codebase is open source and includes over 100 automated tests across the Rust core and React frontend.