Accelerating Divestitures: How Rowland Streamlines Consent to Assign Provisions
The manual task of identifying leases that require consent to assign can slow down divestitures and introduce errors. Learn how Rowland transforms this workflow by intelligently analyzing lease packets and automating the entire paper trail.
Accelerating Divestitures: How Rowland Streamlines Consent to Assign Provisions
For land and energy professionals, managing the complexities of oil and gas lease divestitures is a formidable task. A critical, yet often painstaking, step in this process is identifying which leases require a âconsent to assignâ from the lessor and then drafting the necessary correspondence to obtain that consent.
This traditionally manual process is fraught with the potential for error and can consume hundreds of valuable hours. However, Rowland.ai, a right-of-way and land assistant built specifically for the energy industry, transforms this task into a streamlined, intelligent workflow.
Step 1: Upload and Identify
Users begin by uploading a packet of leases or assignment documents into Rowland. The system immediately analyzes each document to locate and extract language related to assignment and consent provisions.
Rowland flags any clause that may require lessor consent, even when the phrasing varies between leases. Whether the document says âshall not assign without prior written consentâ or âassignment requires approval,â Rowland knows what to look for.
Step 2: Verify and Contextualize
Rowland presents the flagged clauses in a clean summary that includes:
- Lease date
- Lessor and lessee names
- Clause language
- Citation to the original page
This empowers land professionals to verify the findings quickly, compare across documents, and assess which leases are affected by the divestiture.
Step 3: Automate the Paper Trail
Once the necessary leases are confirmed, Rowland can draft the corresponding consent request letters using either the companyâs preferred template or its own internal structure.
Users can instruct Rowland to:
- Reference the original lease
- Include pertinent dates and parties
- Add the precise consent clause language for context
- Customize tone and format as needed
Real Results in Real Workflows
One user recently leveraged Rowland to analyze a packet of 30 leases involved in a mid-size divestiture. In less than 10 minutes, they had:
- Identified all leases with consent-to-assign provisions
- Verified relevant clauses and language
- Drafted personalized letters to each affected lessor
This task would have taken at least a full workday using traditional methods.
Smarter Divestitures Start Here
The consent-to-assign process is just one of many workflows Rowland enhances through AI. By automating repetitive steps and surfacing critical details, Rowland empowers land professionals to focus on the strategic decisions that drive deals forward.
Discover how Rowland can simplify your next divestiture at Rowland.ai.