Brightflag, the AI-enhanced legal operations platform, recently released several updates designed “to address the complex and varied budgeting requirements of corporate legal departments.”
In combination with existing department-level budgeting and forecasting features, Brightflag’s versatile new matter-level controls “afford in-house legal professionals complete visibility and proactive awareness over their outside counsel spend.”
Brightflag customers can now “set matter budgets by time period or phase, allocate a budget across multiple vendors, and build in contingencies.”
Vendor budget request and budget creation workflows “have also been redesigned to facilitate faster collaboration between in-house attorneys and outside counsel.”
Barry O’Melia, Brightflag Vice President of Product, stated:
“Executive teams now expect Legal to budget with the same levels of granularity and sophistication as any other business department, and that inevitably requires a specialized set of tools. We’ve been careful to balance our expanded capabilities with intuitive designs to ensure every customer can easily build the budgets that suit their business.”
Ian Nolan, Brightflag CEO & Co-founder, remarked:
“A strong reputation for financial discipline is an absolute requirement for corporate legal departments that want to be seen as an equal strategic partner within the business. Brightflag’s suite of budgeting solutions now offers accountability from every angle, giving our customers more clarity and control over the financial dimensions of their outside counsel and business stakeholder relationships.”
On March 30, 2022, Brightflag product managers and customer success leaders hosted a live event “sharing proven strategies for setting, enforcing, and reporting on legal budgets.”
As covered, the Brightflag Legal Operations Platform is “where corporate legal departments gain visibility into operations, maximize productivity, and engage with outside counsel strategically.”
Brightflag claims to be “a recognized leader in artificial intelligence and machine learning and has invested more than 100,000 hours in the development of its patented solution.”
The company “serves a global community of legal professionals from offices in California, New York, Ireland, and Australia.”
