contract analysis - Brightleaf Solutions, Inc.

AI Contract Analysis: Why General-Purpose AI Falls Short for Legal Teams

Where General AI Works and Where It Breaks Legal teams adopted various GenAI tools for drafting emails, summarizing notes, and cleaning up internal language. It delivered exactly what it promised: speed, clarity, convenience. Encouraged by those early wins, many teams extended the same tools into AI contract analysis, including clause extraction, obligation tracking, and compliance […]

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CEO Blog 10: Legacy contract migration/data extraction

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

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CEO Blog 7: I want to know if my contracts are risky. How do I do that?

Aaah – a loaded question. There is much talk about software telling you if there is risk in your contracts. Well, what is a risk to you? That would be different than a risk to another company or someone else. To you, if the limitation of liability is capped to 2x the spend by the

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CEO Blog 5: I have 300k documents! What do I migrate into a new CLM system?

Again, a frequently asked and pertinent question This is the fifth of a ten-part series on contract migration and related data extraction, which will help your legal teams gain a better understanding of the information included in all of your contracts. The first reaction is that EVERY document and EVERY data point needs to be

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CEO Blog 4: Can AI software handle it all?

This is the fourth of a ten-part series on contract migration and related data extraction, which will help your legal teams gain a better understanding of the information included in all of your contracts. This is the most asked, if not, assumed (as yes) question! And a very pertinent one. AI Software is a necessary condition

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CEO Blog 3: Can I extract and track my business specific information?

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

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CEO Blog 2: What attributes do I extract and ingest into a CLM during the legacy contract migration process?

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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Transforming contract management process with NLP

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

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Contract Metadata Extraction: Efficient Methods Explained

Extracting contract metadata – the structured data hidden inside legal agreements is often more challenging than it seems. Traditional manual methods require opening each contract, scanning through the document, and copying key fields into tools like Excel. This makes contract metadata extraction slow, expensive, and prone to error. Today, organizations need faster, more accurate ways

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Legacy Contract Data Extraction: Software, Manual or Both?

Contract data extraction or contract review is a vital step of the contract management process for any business to thrive. In contract management, review means critically analyzing the information present in a contract. The old way of capturing essential data attributes from legal documents has been transformed, thanks to technology. We hear about Artificial Intelligence

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