Transitioning from legacy contract repositories, your CLM migration to digital intelligence, using Weagree agentic AI for bulk import of all your signed contracts and bulk extraction of metadata.
The context
Implementing a contract lifecycle management (CLM) solution is a strategic decision intended to centralise Legal Ops and provide data-driven insights. As with other legal tech, the value of any CLM depends entirely on the quality of the data it holds.
Unfortunately, for most organisations, the starting point is not a clean database, but a disparate collection of ‘legacy contracts’ – thousands of PDFs, scanned images, and Word documents scattered across shared drives, e-mail inboxes and personal folders.
The challenge
Migrating hundreds or thousands of legacy contracts (those signed in the past) is easily the graveyard of digital transformation projects. The sheer volume of signed contracts (and related documentation) across the organisation makes a manual review impracticable. If such metadata had been kept up-to-date in some basic contract management solution, the scope of collected and managed data points is still minimal – unfit for nowadays contract management requirements.
Junior lawyers or paralegals who should open each file, scan-read it and manually enter key dates, party details, critical provisions and key-clause summaries into an Excel sheet for import. This process is fraught with error. Fatigue leads to mistakes in data entry, meaning the new CLM is populated with inaccurate data (‘trash in, trash out’). Furthermore, the process is incredibly slow.
A manual migration can take months, delaying the ‘go-live’ date of the CLM and eroding stakeholder confidence before the system is even launched. Without a structured way to digitise and verify this data, the CLM becomes little more than a digital storage folder, lacking the metadata required to drive automated alerts and reporting.
The requirements
A viable migration solution must be able to ingest documents in bulk, regardless of their format (PDF, Word-documents, scanned images). It requires an automated optical character recognition (OCR) upon import in the CLM and intelligent structure recognition to convert text into machine-readable data.
The process demands a verification layer where human experts can quickly validate the AI’s work before the CLM data is committed to the new contract lifecycle management solution. Needless to say that the CLM must cater for high-quality data.
Weagree's solution: AI-tabular review for CLM migration
Weagree’s Tabular Review solution for importing CLM data and contract repositories acts as the intelligent bridge between your legacy archive and Weagree CLM. It is designed specifically to handle the ‘heavy lifting’ of migration through advanced AI and structured project management.
- Bulk import and conversion: users can upload thousands of documents simultaneously via drag-and-drop. Weagree utilises a local file conversion engine to convert these files – including PDFs – into plain texts, optimising them for AI processing, full-text (indexed) search in the CLM, for whatever possible question you may want to ask your contracts.
- Structured, high-quality data: to ensure your CLM will contain clean data of consistently high quality data management, Weagree automatically reinforces strict data properties and contract relations. You can assign multiple related files (e.g., a Master services agreement and its three Statements of Work (SOWs)) to a single contract entry. The AI analyses this cluster to extract a single, unified set of metadata, ensuring your CLM does not treat an amendment as a completely separate, unrelated contract.
- AI-powered extraction: you define the specific fields your CLM requires – not merely an effective date, termination notice period, applicable law, party names, but dozens if not hundreds of data points. The AI (powered by the model of your choice, like Claude, Gemini, OpenAI, etc.) analyses the documents and extracts these values automatically.
- Rapid verification: migration requires accuracy. Weagree’s Tabular Review dashboards highlights if data are not found, critical business delimiters, exceptional. The Tabular Review dashboards allow you to see the extracted data side-by-side with the original document: the AI provides a ‘reasoning’ for every value it extracts and highlights the source quote in the document. This allows a reviewer to check and validate hundreds of contracts per hour, clicking ‘Approve’ only when the data is verified.
The result
By deploying Weagree for your migration, you eliminate the manual bottleneck that threatens CLM implementation. Users report a 90% time saving on contract review and migration tasks compared to manual entry.
Furthermore, by automating the CLM migration, data extraction and clustering of files, organisations can reduce the reviewable dataset by 97%, ensuring that only relevant, high-quality data enters Weagree CLM. You launch your CLM on time, with a fully populated, accurate contract repository that delivers strategic insights and value from day one.
How else does Weagree support a tabular review of large volumes of files?
By deploying Weagree for your CLM migration, you should not overlook similar use cases for Weagree’s tabular review:
- Legal entity management (LEM) migration
- M&A due diligence (datarooms)
- Post-merger integration (PMI)
- DORA register compliance
- KYC (know your customer) register
- Insurance policy management
- Rent agreements portfolio analysis
- IP portfolio management
- GDPR register
- Contracting policy compliance
With Weagree’s AI tabular review, you can migrate all of the above into the Weagree CLM itself. Needless to say, the Weagree Wizard contains further tooling to manage and monitor it all. Watch it yourself!
