UPL, attorney-client privilege, conflict check, retainer, intake, engagement letter, matter management, statute of limitations, pro bono, contingency fee, e-discovery - each defined in plain English for SLAtech AI Legal. See also the FAQ and the compliance glossary.
American Bar Association model rule requiring lawyers to keep client information confidential. SLAtech AI Legal's confidentiality approach (PII redaction at ingest, attorney-client privilege metadata tag, single-tenant option) maps directly to Rule 1.6 compliance.
Common-law doctrine protecting confidential communications between client and lawyer (or their agent) from compelled disclosure. SLAtech AI Legal is positioned as an extension of the firm; confidentiality wording in the intake conversation establishes the privilege framing.
Professional regulatory body for lawyers (Israel Bar, ABA in the US, Law Society in the UK). SLAtech AI Legal references the firm's bar registration in client-facing communications.
Standard 6-minute increment in legal time tracking. SLAtech AI Legal's intake assistant reduces non-billable administrative overhead - every minute saved on intake / scheduling translates to a billable hour gained.
Refuses to cite case-law or statute numbers without source-anchor verification. Prevents hallucinated citations (the 2023 ChatGPT-Mata sanctions story). SLAtech AI Legal mandates source-anchor on every citation; uncertain citations surface a "refer to attorney" route.
Mandatory pre-engagement review screening whether new representation conflicts with existing or former clients. SLAtech AI Legal conducts a structured conflict-check intake (opposing parties, related entities) before any case-specific discussion.
Pre-intake search of prospective client / opposing party name against the firm's existing-client database. SLAtech AI Legal runs conflict-check at intake start; flagged matches route to partner approval before continuing. Generic chatbots ship zero conflict-check (firm liability).
Attorney compensation contingent on case outcome (% of recovery). Common in personal injury, employment, consumer protection. SLAtech AI Legal can surface contingency fee structures and explain their tradeoffs vs hourly billing.
Mandatory ongoing professional education for practicing attorneys. SLAtech AI Legal can surface a firm's CLE-tracked credentials to prospective clients as a quality signal.
Jurisdiction-specific procedural rules governing litigation conduct. SLAtech AI Legal does not interpret court rules but can schedule attorney consultations and pull procedural deadlines from the matter management system.
Pre-trial phase exchanging information and evidence between parties. Includes interrogatories, depositions, document requests. SLAtech AI Legal can schedule discovery-related client meetings and surface case-specific document checklists.
Discovery of electronically-stored information (emails, documents, social media). SLAtech AI Legal routes complex e-discovery inquiries to the firm's litigation support team rather than auto-processing.
Contract formally establishing the lawyer-client relationship - scope, fees, expectations. SLAtech AI Legal can surface a dynamic engagement-letter template based on matter type.
Written contract establishing the attorney-client relationship, scope, fee structure, billing cadence. SLAtech AI Legal generates draft engagement letters from intake data; final review and signature handled by attorney.
Attorney's billed rate per hour. SLAtech AI Legal surfaces hourly rates by attorney and practice area on request, configured per firm.
Structured information capture from a prospective client: matter type, jurisdiction, opposing parties, timeline, budget. SLAtech AI Legal conducts a multilingual intake conversation in English, Hebrew (full RTL) and Russian - with additional languages available on request - and delivers a structured intake summary to the firm.
A discrete piece of legal work for a client (litigation, transaction, advisory). SLAtech AI Legal integrates with major practice management systems (Clio, MyCase, PracticePanther, Smokeball) to read and write matter records.
Itemised list of documents withheld from production on privilege grounds. SLAtech AI Legal does not generate privilege logs directly but routes related requests to the litigation team.
Legal work provided without charge for clients unable to afford counsel. SLAtech AI Legal's intake assistant can identify pro bono eligibility and route to a dedicated pro bono queue.
Initial payment securing legal representation. SLAtech AI Legal can quote retainer ranges based on matter type and hand off retainer collection to the firm's own payment processor.
Legal deadline beyond which a claim is barred from being filed. Varies by claim type and jurisdiction. SLAtech AI Legal flags potential statute-of-limitations issues during intake and triggers an urgent attorney review.
Jurisdiction-specific deadline by which a cause of action must be filed. SLAtech AI Legal flags potential SoL exposure at intake based on the facts captured (cause of action + accrual date), routing to litigation partner for confirmation.
Recording billable time spent on a matter. SLAtech AI Legal reduces front-desk friction by handling client questions asynchronously - freeing attorney time for billable work.
Segregated bank account holding client funds (settlements, retainers not yet earned). Strict regulatory compliance required. SLAtech AI Legal does not handle trust-account operations directly - flags trust-related queries to the firm's bookkeeper or managing partner.
Common-law and statutory restriction limiting the practice of law to licensed attorneys. Defined variably by jurisdiction but typically includes giving legal advice, drafting legal documents and representing parties in proceedings. SLAtech AI Legal routes every substantive legal question to "an attorney will follow up" - preventing inadvertent UPL exposure for the firm.
No matching terms.
Terms defined - now verify the implementation: