Explore how our proven contract automation and contract lifecycle management (CLM) solution is empowering legal teams to optimise their contracting processes, from pre-signature automation to post-signature management, and achieve spectacular results. Weagree simplifies and accelerates the entire contract lifecycle in an intuitive and user-friendly manner.
Complex contracts and approval workflows
A global media and entertainment leader faced inefficiencies in their contracting process due to complex workflows and inconsistent approval steps across 60 subsidiaries. With Weagree, they automated creation and approval of contracts. As a result, they dramatically reduced their contract creation time, improved internal controls and ensured reliability of contract data and committed deliverables.
How Weagree enhances workflows and simplifies the entire contracting process.
LMA financing transactions
Large transactions like an LMA facility agreement involve multiple contracts, various stakeholders and many intertwined subprocesses. Managing such transaction is challenging. Coordinating the transaction logistics and all the checks is time-consuming.
Accelerating a large or complex transaction (e.g. LMA financing, M&A) means: all necessary documents easily created (accurately), organised and stored; all stakeholders easily granted access to transaction files, only to the extent needed, and collaborating on documents is easy. It is always clear who needs to act next and what they need to do.
If contract data are the same across transaction documents, they are entered only once (Q&A questions can be linked and Q&A answers water down from a term sheet into the related credit/facility agreement or closing documents).
Intra-group agreements
A French multinational struggled to get hundreds of intra-group agreements created without an error, in strict compliance with local tax laws worldwide, adequately reflecting dozens of transfer pricing arrangements. Weagree streamlined bulk-creation, metadata validation and e-signing of these agreements.
Result: 800 hours cut down to just 69 hours (in subsequent years even 16 hours). A time saver of 1,159% in the implementation year and 5,000% in every following year. No errors and automated notifications for tracking and follow-up. Team satisfaction.
Curious how this is possible within Weagree?
Construction projects
A major German railway company streamlined its complex construction project management by automating document creation, deadline tracking, approval workflows, obligation monitoring, tasks management.
Whether the construction project entails handful of schedules or 300, or whether either of them come in dozens of draft versions, does not matter. Weagree organises them automatically.
In construction projects, deadlines change continuously, so Weagree recalculates all related (dependent) deadlines automatically. Deadline notifications follow the changes (automatically).
Transform your transaction project management within Weagree.
Use cases: CLM implementation and AI-tabular review
Implementing a CLM, a regulatory GDPR, DORA or NIS2 register, becomes incredibly easy with AI-data extraction (using AI tabular review) on large volumes of contracts and contract-related files:
CLM migration + AI
For most organisations, the starting point of a CLM is not a clean database, but a disparate collection of ‘legacy contracts’ – a quest for thousands of PDFs, scanned images and Word documents scattered across e-mail inboxes, shared drives and personal folders.
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.
Curious how this is possible within Weagree?
M&A due diligence (datarooms) + AI
M&A transactions represent incredibly time-critical and risk-intensive work in the legal profession. Representatives of the buyer receive access to a dataroom containing thousands of the target company’s files, mostly the contracts and the corporate housekeeping files of all group companies. With AI, a locked-box seller can create the dataroom at high speed, or a purchaser structure, assess and evaluate the disclosed bunch of files at unprecedented speed.
The goal is to review all these documents to identify risks, liabilities and impediments to closing the transaction (such as change of control clauses, or non-assignment clauses in case of an asset-transaction). With AI.
Post-merger integration (PMI) + AI
Once an M&A deal closes, the focus shifts to post-merger integration of contracts (PMI). The acquiring company now has access to the acquired entities’ suppliers, customer relationships, collaborations and everything it entails in terms of rights, obligations, risks and compliance.
To realise the financial synergies promised by the deal (e.g., consolidating suppliers, customers, cross-benefits of processes), the legal and procurement teams will integrate the acquired companies’ contracts into the parent company’s CLM system. In such consolidated CLM, data analytics, process metrics and monitoring are best optimised: taken to the next level (realising synergies and mutual learning).
Do you want to see it work with Weagree?
Entity management migration + AI
For large organisations, corporate housekeeping (or legal entity management) is a complex, high-stakes responsibility. Legal entity management involves maintaining accurate records of the legal structure of the group – subsidiaries, holding companies and joint ventures – along with their corporate housekeeping documents. Order your corporate housekeeping with Weagree AI.
Weagree’s entity management solution includes all possible entity management files, such as articles of association, deeds of incorporation, shareholder resolutions, board minutes, powers of attorney (POA), excerpts from public registries, certificates, permits, annual filings. (And you can add any other specific types of files.)
DORA register implementation + AI
Financial institutions must comply with DORA legislation, requiring rigorous, in-depth insight in the IT security vulnerabilities across their supply chain. It requires the maintenance and implementation of a DORA register, on countless metadata in their SaaS agreements, technology services agreements,, ICT licences, etc.
Weagree’s AI tabular review functionality extracts all such metadata from large volumes of contracts (and contract-related schedules and other files).
Do you want to see it work with Weagree?
NIS2 register implementation + AI
In critical sectors (energy, transport, banking, healthcare, and digital infrastructure), companies must strengthen the cybersecurity posture of society.
Organisations are no longer merely responsible for their own cybersecurity; they are accountable for the resilience of their entire chain of technology suppliers and subcontractors. They must implement and maintain a NIS2 register detailing these third-party relationships and their corresponding security obligations.
Implementing a NIS2 register takes hours, rather than months with Weagree AI-tabular review, and Weagree’s in-CLM NIS2 register.
Don't you see your use case?
Your challenges related to contracting processes may well be different: we know, because most of our customers have a ‘specialty’ or peculiar context. Our platform is probably already fit to solve that challenge. (And if not, during the past 19 years, we have done nothing but solving contracting challenges.)
