Combine AI & Experience to Reduce Legal Risks and Costs
A SaaS Legal Risk Technology platform which applies the lens of AI/ML to structured & unstructured data, including documents, and leverages a unique risk framework
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Products that transform
risk management
Technology that focuses in-house and retained professionals on the legal risks that matter. Understand legal risk to prevent adverse outcomes.
ContractLens
A SaaS Technology Platform that uses the lens of AI/ML guided by a risk framework developed by experts to evaluate Legal Risks embedded in contracts.
Identifies Governing Law in a contract to allow for efficient analysis of risks associated with that jurisdiction
Identifies which contracts require you to provide insurance for another party and the limits and types of coverages required
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ClaimLens
A SaaS Technology Platform that uses the lens of AI/ML guided by a risk framework developed by experts to evaluate Legal Risks embedded in third-party bodily injury claims.
Identifies claims with the greatest potential latent volatility by utilizing AI trained by data and guided by experience
Isolates specific volatility drivers by searching for key claim characteristics in structured and unstructured data so those factors can be mitigated
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Why DocLens.ai ?
A Legal Risk is a vulnerability
Legal Risk is an exposure, sometimes latent, that could through application of laws and legal proceedings result in significant expense to a business. An incident may cause bodily injury, death, or financial loss to 3rd parties. The 3rd party may seek to recover by asserting a claim and eventually pursuing a lawsuit or a contract may include provisions that shift financial responsibility or impose restrictions or limitations on a business operation.
Evergreen contracts may not have adequate data protection provisions
A big industry challenge is how do we Identify all contracts in portfolio that need amendments to comply with evolving data protection laws.
Legal Risk Technology platform which applies AI/ML to structured & unstructured data