Efimis

Efimis is a cloud-based, browser-based financial management and legal accounting platform purpose-built for law firms. The system consolidates client money, firm money, and matter-level performance into a single platform, with open APIs designed to connect to practice management systems, document management systems, and other legal technology tools.

Key Features & Functions:

General Ledger and Purchase Ledger
Customizable GL with cost centers for performance insight by office, team, practice, or partner, alongside centralized firm spend management with AI-assisted invoice scanning, coding, and approvals.

Billing and Disbursements
End-to-end billing aimed at reducing write-offs and accelerating collections, with disbursement entry covering codes, taxes, and cost recovery.

Banking
Real-time account connections and reconciliation across firm and client accounts.

Client and Trust Accounting
Rule-based client and trust fund tracking aligned to applicable regulatory regimes across the UK, Ireland, US, and Australia.

Work Items, Time Entries, & Directory
Flexible time capture with timers and voice notes, plus a directory view of client and matter relationships, financial links, and involvement connections.

Requisitions and Approvals
Submission and approval workflows for purchase requests and payments.

Accounting Methods
Support for cash, accrual, or hybrid accounting to align reporting with applicable regulations.

Reporting and Dashboards
Live dashboards covering work in progress, profitability, and cashflow, with drillable data for trend, risk, and opportunity analysis.

Tax (UK and Australia)
VAT return tracking and submission for UK firms, and BAS-aligned tax reporting for Australian firms.

Eve AI Assistant
An embedded AI assistant that accepts natural-language questions and returns insights on profitability, WIP, performance, and risk.

Auditability
Role assignments and audit trails covering user actions across the platform.

Open APIs and Developer Tooling
A developer portal offering REST API, GraphQL, webhooks, ETL utilities, UI extensions, Microsoft Power Automate components, reference connectors, sandbox environments, and Model Context Protocol (MCP) support for AI agent integration.