PArtner
PArtner
PArtner
Semine
Semine
Semine
IT solution type:
Administration / Reporting
LegalTech keywords:
Machine Learning & Analytics
Profitability
AI
Market focus:
Large law firms
Leverer:
Full automation of invoice processing using artificial intelligence.
IT Solution / Vendor
Leverer:
Itera
Full automation of invoice processing using artificial intelligence.
Full automation of invoice processing using artificial intelligence.
IT solution type:
LegalTech keywords:
Market focus:
Large law firms
IT solution type:
LegalTech keywords:
Market focus:
IT solution type:
Compliance
LegalTech keywords:
Market focus:
IT solution type:
LegalTech keywords:
Market focus:
IT solution type:
LegalTech keywords:
Market focus:
IT solution type:
LegalTech keywords:
Market focus:
IT solution type:
LegalTech keywords:
Machine Learning & Analytics
Machine Learning & Analytics
Profitability
Profitability
AI
AI
Market focus:
Aderant is a global industry leader which provides comprehensive business management software for law firms and other professional services organizations. The company’s popular technology brands include Aderant Expert/Expert Sierra for practice management, Handshake and Drive for knowledge management, iTimekeep, OCG Live & Thrive for timekeeping and compliance, BillBlast for eBilling, CompuLaw for docketing and calendaring, and Expert Case for legal case management.
Aderant iTimekeep was built to fit into the busy workflow of today’s modern attorney, providing them with all the tools they need to more accurately record time, work in tandem with their team, and meet compliance and security guidelines.
Aderant operates as a unit of Roper Technologies (NYSE: ROP), a constituent of the S&P 500 ®, Fortune 1000 ®, and the Russell 1000 ® indices. The company is headquartered in Atlanta, Georgia, and has several other offices across North America, Europe, and Asia-Pacific. For more information, visit Aderant.com, email info@aderant.com, or follow the company on Twitter @Aderant or on LinkedIn.
Verification and learning:
Always correct extraction of data from all vouchers and verification of this ensures the best foundation for starting automation. Standardization of unstructured information forms the basis for effective machine learning.
Process:
Identification of patterns and context in the vouchers forms the basis for automatic suggestions for accounting entries and categorization of expenses. Supports automation for account codes, accruals, cost types, and various dimensions.
Gain overview:
Workspaces, intuitive user interfaces, and the ability to extract line data from each individual voucher provide the foundation for insight into the underlying processes. Significantly higher insight and transparency give a much greater sense of control.
Verification and learning:
Always correct extraction of data from all vouchers and verification of this ensures the best foundation for starting automation. Standardization of unstructured information forms the basis for effective machine learning.
Process:
Identification of patterns and context in the vouchers forms the basis for automatic suggestions for accounting entries and categorization of expenses. Supports automation for account codes, accruals, cost types, and various dimensions.
Gain overview:
Workspaces, intuitive user interfaces, and the ability to extract line data from each individual voucher provide the foundation for insight into the underlying processes. Significantly higher insight and transparency give a much greater sense of control.
Verification and learning:
Always correct extraction of data from all vouchers and verification of this ensures the best foundation for starting automation. Standardization of unstructured information forms the basis for effective machine learning.
Process:
Identification of patterns and context in the vouchers forms the basis for automatic suggestions for accounting entries and categorization of expenses. Supports automation for account codes, accruals, cost types, and various dimensions.
Gain overview:
Workspaces, intuitive user interfaces, and the ability to extract line data from each individual voucher provide the foundation for insight into the underlying processes. Significantly higher insight and transparency give a much greater sense of control.
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