The healthcare industry generates and stores vast amounts of data every day including patient records, medical history, diagnoses, treatment plans, and outcomes, and the extraction of such data from medical records is a crucial task that allows healthcare providers to access and analyze relevant information about patients. This information can be used to improve patient […]

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There is so much talk about ChatGPT. A really revolutionary pre-trained AI model! So you wonder, can I use it for doing all my work for legacy contract data extraction including a matchup of masters with their amendments, removal of duplicate documents, removal of unsigned and unwanted documents, etc.? One way to look at it [...] Read More →

The larger the company, the more the contracts – that is a given. The larger the company, the more divisions. The larger the company, the more these divisions work in silos. All companies run on contracts – buy-side and sell-side. When moving to a new enterprise or contract management lifecycle system no one wants to […]

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As part of the legacy contract migration/data extraction series of blogs, here is the 3rd one of the series. Can I extract and track my business-specific information? But of course! In fact, 30-40% of the information Brightleaf extracts is our clients’ business-specific information. To give an example, for a Class 1 Railroad company, we extracted [...] Read More →

The first part of the series covered, what is legacy contract migration and why do I need to do it? Here we will discuss the next/second question that is asked very often too, what attributes do I extract and ingest into a CLM during the legacy contract migration process into a CLM? There is no […]

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To kick off the series, let us first start with the simplest question – What is legacy contract migration and why do I need to do it? You are looking to install a Contract Lifecycle Management (CLM) system to get a handle on your contracts, what good is having a great CLM without any data? […]

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As per a study by the Institute for Supply Management, a typical Fortune 1000 company manages anywhere between 20,000 to 40,000 active contracts at any given time. Additionally, there are legacy contracts to add to the number. Keeping track of all of these contracts can be a nightmare if done manually. Using Natural language processing [...] Read More →

When people plan a contract management system, their immediate concerns tend to focus on finding their contracts and reporting on standard metadata, including contract owner, contract status, and renewal date. A centralized repository takes care of the first need. Configured reports set up for specific contract metadata address the second need. But beyond standard contract […]

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Lease extraction The process of retrieving relevant data points from your lease contracts can have a huge impact on your organization if not tracked properly. A summary of your lease contracts at your fingertips can save you time, money and mitigate the risk associated with non-compliance. The process of reviewing lease data for say asset […]

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Contract data abstraction means extracting important data points which include clauses, dates, and meta-data from your contracts. Abstracting essential information from your contracts will help you manage and identify existing contractual commitments. Additionally, this will enable you to analyze risks, obligations, and opportunities to avoid potential legal disasters. 80% of corporate legal professionals say that […]

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Extracting key data elements i.e. metadata from contracts is not an easy chore.  Done manually, you would need to open each and every contract (which in itself is a time-consuming task), search through the full document for many different types of language, and copy and paste it into a tool like Excel. What is Metadata? [...] Read More →

Once your company is ready to be sold your whole focus is shifted to restructuring a whole new business system. It includes certain activities which need to be taken care of such as what the company is buying and what obligations it is assuming, the nature and extent of the target company’s liabilities, contracts, litigation […]

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