Legal Contract Management is one of the most common functions for legal
departments and yet may suffer from intractable
challenges for several reasons. Gone are the days of Ad hoc approach for
creating, drafting, amending, storing,
tracking, reviewing of legacy contracts. With the growing business
challenges, it has become imperative for companies to
align themselves with tech-enabled platforms to not only manage contracts
but also gain actionable insights for
transactions. This necessitates a deviation from the earlier methods of CLM
and involvement of cutting-edge technology,
Artificial Intelligence ai based contract management and contract management
machine learning, to be specific.
At the outset, AI helps improve tasks and manage end-to-end contract
management for the use of in-house counsels. What
earlier used to be conducted by human intelligence, is now taken over by
Artificial Intelligence in the contract
lifecycle management. ML algorithms, on the other hand, is about gleaning
insights from the data and consumer habits.
Put, integration of AI, and ML help reduce operational inefficiencies and
transform CLM processes considerably for legal
functions. There are a number of ways how AI is changing contracts for legal
departments.
How legal departments can meet contract milestones with
artificial intelligence?
Stage 1- Request and Drafting Contracts The creation of
contracts through standardized contract templates that are more
intuitive and responsive, ensures that it delivers a flawless draft. The AI
capabilities of the platform can read,
interpret, and apply the right concepts to the draft. It then follows the
process of automating the review process by
identifying predetermined clauses and redefining the contract based on the
needs and necessities of the clients. Vetting
of contracts takes place at this stage. Redlining of items, editing of
contracts and counselling legal teams
appropriately on actionable items brings efficiency in the contract review
process.
Stage 2 - Management of contractsOnce the client approves
the contract draft, it heads towards the repository that
requires legal teams to monitor and track the terms, deliverables,
deadlines, approvals based on the contractual
milestones set. The process may involve negotiation, modifications, an
extension of commitments, and re-reviewing the
obligations as per the present requirements.
Stage 3 - Execution of Contracts While the execution of
contracts was primarily manual, the recognition of e-signatures
and e-franking under the Information Technology Act of 2000 has made it
possible for the e-execution of contracts and
agreements (except those documents expressly not recognized under the Act).
Further, specifc state stamp duty laws
verifies electronic records under their purview of “instruments”. Hence,
this explains the validity of the e-franking
and e-signatures under law.
Next-gen AI-powered legal contract management platform
Contract Management software for in-house counsels typically have huge
volumes of contracts involving vendors,
suppliers, clients, who carry out primary and third-party contractual
obligations. Understandably, one of the top
priorities here is to reduce and control legal costs, minimize the
dependence on external counsels, and improve matter
and contract management operations by leveraging the right technology
platforms. RazorSign’s "Next-gen AI-powered
Contract Driven Legal Operations Platform" comes to play. With its
cognitive and predictive capabilities, AI powered
contracts attunes itself to improve outcomes and build efficiency in the
existing processes.