Straight answers about Claira.
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What is Claira?Claira is an AI document-review layer that runs as a UI extension inside Nuix Discover. It reads, codes and explains documents and writes the results into your Discover fields.Is AI-assisted review defensible?Yes, when decisions can be explained and checked. Claira can record its reasoning, and a confidence score where the review asks for one, in Discover fields you can export.Where is my data processed?In your country. Claira offers data residency in Canada, Australia, Germany, the UK, the US and Brazil. Document content is processed per request and not stored.What is Nuix Discover?Nuix Discover is a review platform used by law firms, LSPs and legal departments to host, search and review documents for litigation and investigations.How is Claira different from TAR?TAR learns from reviewer decisions to rank documents. Claira reads documents against your instructions and explains its calls, from the first document.How much does Claira cost?From €49 per case, per month, in your currency. It scales with the size of the case, with no long-term commitment and no minimums.How does privilege review automation work?Privilege review automation uses search terms, metadata rules, and AI classifiers to narrow and pre-sort a document set before lawyers make the final privilege calls. It reduces the volume a reviewer has to read manually, but the privilege determination itself stays with counsel.How do you automate the eDiscovery workflow?You automate an eDiscovery workflow by removing manual handoffs at each stage - scripted ingestion and processing, rules-based culling, AI-assisted first-pass review, and templated production - while keeping human sign-off at the decisions that carry legal risk.What are the alternatives to Casepoint?Casepoint is one of several end-to-end eDiscovery platforms, and the alternatives most often evaluated alongside it include Relativity, Everlaw, Reveal, DISCO, and Nuix. Which one fits depends on data volume, hosting and residency requirements, review workflow, and whether you need a full platform or an AI layer on top of one you already run.What is an eDiscovery lawyer?An eDiscovery lawyer is a lawyer who manages the discovery of electronically stored information - scoping preservation and collection, negotiating discovery protocols, supervising review, and defending those decisions if they are challenged.What is QC review in eDiscovery?QC review is a quality control pass over documents that have already been coded, used to confirm that reviewers applied responsiveness, privilege, and issue calls consistently and correctly. It normally combines random sampling with targeted checks on the decisions most likely to cause problems later.What is an AI evidence trail?An AI evidence trail is the record of how an AI system reached a conclusion about a document - what it was asked, what text it relied on, and what it returned - kept so the result can be checked and defended later.What does privilege mean in document review?In document review, privilege is a legal protection - most often solicitor-client or attorney-client privilege, and litigation privilege - that lets a party withhold a document from production even though it is otherwise relevant.How do you manage an eDiscovery workflow?Managing an eDiscovery workflow means running each stage - identification, collection, processing, review, and production - as a tracked, repeatable process with clear ownership, defined coding rules, and a record of what was done at each step.Choosing software with Canadian data residency under Law 25 and PIPEDACanadian data residency means your data is stored and processed on servers physically located in Canada. Neither PIPEDA nor Quebec's Law 25 requires it outright, but both create accountability and assessment obligations for information sent outside the country or province, which is why many Canadian organizations shortlist vendors that keep data in Canada.How do you measure privilege review quality?Privilege review quality is measured by testing a sample of the review population for two kinds of error - privileged documents that were missed and non-privileged documents that were withheld - and tracking those rates alongside reviewer consistency and the completeness of the privilege log.What is Canadian eDiscovery?Canadian eDiscovery is the identification, preservation, collection, review, and production of electronically stored information in Canadian litigation. It is shaped by the Sedona Canada Principles and by provincial rules of civil procedure that put proportionality at the centre of every discovery decision.What are the best practices for using AI in eDiscovery?Write your criteria down before you run anything, validate the output against a human-reviewed sample, keep a reviewable record of why each document was coded the way it was, and keep a lawyer accountable for the final call.AI for Canadian Legal ProfessionalsCanadian legal professionals use AI mainly for document review, eDiscovery, and research - guided by law society competence rules, data residency requirements, and mandatory human verification.Reveal AI Privilege Detection in eDiscoveryReveal offers AI-based privilege detection that scores documents for likely privilege during eDiscovery review; like all such tools, it works best paired with attorney validation and a clear audit trail.How to create an evidence trail for AI decisionsAn evidence trail for AI decisions is built from four things: a record of what the model was asked, the output it produced, the source passage that output relied on, and the human decision that followed. Together these let a team reconstruct and defend how a conclusion was reached.eDiscovery software for law firms: what to look forLaw firms choosing eDiscovery software are usually balancing three things: predictable cost as matters scale, a review interface their teams can work in for months, and hosting that satisfies client and jurisdictional requirements. Fit depends far more on matter profile than on feature count.What is technology-assisted review (TAR)?Technology-assisted review, or TAR, is the use of machine learning to classify or rank documents for relevance in eDiscovery, trained on coding decisions made by human reviewers. It is also commonly called predictive coding.What is privilege review in eDiscovery?Privilege review is the stage of eDiscovery where lawyers identify documents protected by attorney-client privilege or the work product doctrine, so they can be withheld or redacted from a production and recorded on a privilege log.Everlaw privilege detection AI in eDiscoveryEverlaw is one of several eDiscovery platforms that offer AI-assisted features to help surface potentially privileged documents. AI privilege detection flags likely-privileged records so attorneys can prioritize review, while final privilege calls stay with qualified reviewers.AI legal evidence review tools for eDiscoveryAI legal evidence review tools use machine learning and language models to classify, prioritize, summarize, and extract facts from documents in eDiscovery, so review teams find the evidence that matters with far fewer manual hours.What are AI-based eDiscovery platforms?AI-based eDiscovery platforms are review tools built around machine learning and language models, using them to classify, prioritize, and summarize documents throughout the discovery workflow rather than offering AI as an optional add-on.What is eDiscovery in Australia?In Australia, eDiscovery is the electronic side of the discovery process - identifying, collecting, reviewing, and exchanging electronically stored information in litigation, regulatory investigations, and royal commissions, governed by federal and state court rules.AI eDiscovery software in AustraliaAustralian legal teams use AI eDiscovery software to classify, prioritise, summarise, and extract facts from large document sets, cutting review hours while meeting local expectations around proportionality, privilege, and data handling.Technology-assisted review (TAR) in Australian litigationTechnology-assisted review is accepted in Australian litigation. Courts have endorsed its use in large discovery exercises, and machine learning that ranks documents by likely relevance is now a standard way to keep discovery costs proportionate.eDiscovery software for Australian law firms and litigation teamsAustralian law firms choose eDiscovery software based on searchable review, consistent coding and redaction, audit trails, and production tools - plus local factors like data hosting location, privacy obligations, and support in Australian time zones.Chat and messaging eDiscovery in AustraliaChat eDiscovery in Australia covers collecting, reviewing, and producing messaging data - Slack, Microsoft Teams, WhatsApp, and SMS - as evidence in litigation, investigations, and regulatory matters, with the same discovery obligations as email and documents.What is the AI eDiscovery process?The AI eDiscovery process follows the same stages as traditional eDiscovery - identification, preservation, collection, processing, review, and production - but adds AI at each step to search, classify, prioritize, and summarize documents so review is faster and more consistent.What is chat eDiscovery?Chat eDiscovery is the process of collecting, reviewing, and producing messaging data - from apps like Slack, Microsoft Teams, WhatsApp, and SMS - as evidence in litigation or investigations.What is eDiscovery with advanced AI?eDiscovery with advanced AI uses techniques like predictive coding, generative AI, and conceptual search to classify, prioritize, and summarize large document sets - going beyond keyword search to cut review time while keeping humans in control.AI-assisted eDiscovery tools that integrate with Nuix DiscoverAI-assisted review tools connect to Nuix Discover to add capabilities like document summarization, privilege detection, and fact extraction on top of its review workspace. Claira is an AI eDiscovery platform built to work alongside Nuix Discover.What is statement-of-fact extraction in eDiscovery?Statement-of-fact extraction uses AI to automatically pull discrete factual assertions - who did what, and when - from documents in a review set, helping legal teams build chronologies and find key evidence faster.Which eDiscovery platforms let paralegals highlight, comment, and filter by annotations?Most modern review platforms - including Relativity, Everlaw, Nuix Discover, and Claira - let reviewers highlight text, add comments and tags, and filter the document set by those annotations.What is IP eDiscovery?IP eDiscovery is the electronic discovery process applied to intellectual property disputes - patent, trademark, trade secret, and copyright cases - where key evidence often sits in technical files, source code, emails, and design records.eDiscovery software for litigation paralegals running defensible document reviewLitigation paralegals rely on eDiscovery platforms that combine searchable review, consistent tagging and coding, complete audit trails, and production tools so the document review process stays organized and defensible.Everlaw vs Casepoint: how the two eDiscovery platforms compareEverlaw and Casepoint are both cloud-based eDiscovery platforms covering processing, review, analytics, and production. They differ mainly in focus and user experience, so the right fit depends on your case mix, team size, and budget.Using AI to flag privileged documents in large litigationFor large, email-heavy matters, AI-assisted privilege review uses machine learning and language models to rank and flag likely-privileged documents, cutting manual review hours while attorneys keep control of final privilege calls.Generative AI for chat eDiscoveryGenerative AI helps with chat eDiscovery by summarizing long message threads, extracting key facts, and answering questions about conversations from apps like Slack, Teams, and WhatsApp - turning fragmented chat data into reviewable evidence.