Reframe is a legal ontology graph platform for law firms. It organizes documents from iManage and other firm collaboration systems into a structured graph of clients, matters, funds, provisions, and dates, then makes that graph available to the AI tools a firm already uses.
Key features and functions include:
Legal Ontology Graph
Reads documents against an ontology the firm’s lawyers define, linking each client, matter, fund, provision, and date to the specific document and page it came from.
Cited Answers in Existing AI Tools
Connects to Claude, ChatGPT, and Microsoft 365 Copilot (via the Model Context Protocol), so questions asked in those tools are answered from the firm’s documents with a citation to the source passage.
Ethical Walls and Access Controls
Checks a lawyer’s access and the firm’s ethical walls before a model reads any passage, and re-checks access on each cited passage; the platform does not provide an administrator override for walls.
Firm Position Analysis
Surfaces the terms and positions a firm has accepted across its signed agreements, organized by counterparty or deal, and flags matters that departed from the firm’s typical position.
Custom Application Building
Lets users describe a workflow, such as a closing tracker, intake check, or obligation calendar, in plain language; the platform builds the resulting application on the graph under the same access rules used for search.
Audit Logging
Maintains an append-only log of questions, answers, approvals, refusals, and agent actions, including the person, time, and result.
Deployment Model
Delivered through a phased engagement in which Reframe’s engineers map the firm’s documents, deploy and validate the platform, and then hand off a licensed platform for the firm’s own team to run and extend.
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