In one embodiment, a processing device receives a first digital fingerprint of a media item along with a first content management rule. The processing device separately receives a second digital fingerprint of the media item along with a second content management rule. The processing device determines that the received digital fingerprints are for the same media item based upon a match between the first digital fingerprint and the second digital fingerprint. The processing device determines that all rights to the media item have been accounted for, and then determines a set of actions to be performed for hosted media items comprising the media item based at least in part upon the first content management rule and the second content management rule. Processing logic may also perform a conflict resolution process for conflicting rights claims to the media item.

A smart contract including one or more rules is defined and stored on a blockchain in conjunction with a pool of one or more tokens owned by the smart contract. A plurality of conflicting claims to the pool of one or more tokens is received and provided to the blockchain. An indication that a trigger condition is met is received from the blockchain. The trigger condition to determined using the one or more rules. Information indicating a distribution of the one or more tokens to resolve the plurality of conflicting claims is also received. The information is generated using the one or more rules in response to the trigger condition being met.

The present specification discloses a method for generating a target contract and a terminal device. The method includes: generating, based on an operation instruction of a first user, a contract signing request to sign a contract with a second user cluster; sending the contract signing request to a second terminal device cluster corresponding to the second user cluster, for M second terminal devices in the second terminal device cluster to each generate and return, based on the joint contract signing request, a piece of first acknowledgment information that acknowledges jointly signing a contract; determining, based on M pieces of first acknowledgment information, chat information from group chat records in a same chat group as the second user cluster; generating a pending contract based on the chat information, and sending the pending contract to the second terminal device cluster, for P second terminal devices in the second terminal device cluster to each generate a piece of second acknowledgment information that acknowledges the pending contract; and determining the pending contract as a target contract based on P pieces of second acknowledgment information, and uploading the target contract to a blockchain.

A smart contract including one or more rules is defined and stored in a distributed ledger in conjunction with a pool of one or more tokens owned by the smart contract. A plurality of conflicting claims to the pool of one or more tokens is received and provided to the distributed ledger. An indication that a trigger condition is met is received from the distributed ledger. The trigger condition to determined using the one or more rules. Information indicating a distribution of the one or more tokens to resolve the plurality of conflicting claims is also received. The information is generated using the one or more rules in response to the trigger condition being met.

A system (100) and a method (200) for mediating lien disputes is described. The system (100) includes a processor (108) and a memory (110). The processor (108) is configured to retrieve a user data related to one or more types of lien cases from the memory (110). The processor (108) is configured to process the user data to identify and prioritize the one or more types of lien cases based on case factors. The processor (108) is configured to process the identified one or more types of lien cases as a training data to a machine learning model (112) to train the machine learning model (112). The training data includes inputs and one or more predictive outputs derived from the machine learning model's processing of the inputs. Thereafter, the machine learning model (112) is a smart intelligent system which determines each lien cases metric of resolution, collectability, and resolution time parameters.

A method for generating a user profile and system including a controller configured to execute instructions to execute the method. The method including determining by a user of a first vehicle that an interactive maneuver is needed to provide a resource, identifying a second vehicle to interact with, contacting a user of the second vehicle, requesting the user of the second vehicle to perform the interactive maneuver, receiving a response from the user of the second vehicle, and generating a user profile for the user of the second vehicle based on the performance of providing the resource.

Systems, methods, and non-transitory computer-readable media can receive a first content item uploaded by a first user. Content ownership information can be updated to associate the first content item with the first user. The first user can be provided with content item analytics pertaining to the first content item in a content item analytics interface.

A Mobile Lawyer system includes a 360 degree HD video camera configured for mounting on a vehicle; a display screen configured for mounting inside the passenger compartment of a vehicle; and a Mobile Lawyer App downloaded and installed on a mobile telephone in communication with the video camera and display screen, configured, upon command from a user, to notify an attorney located remotely via a cellular and/or computer network, and to display a video image of the remote attorney on the display screen (or the screen of the mobile telephone), and to live-stream a 360 degree video captured by the video camera to the Internet for viewing by the remote attorney and for cloud storage. The introduction of a lawyer on-demand into a police encounter can help to defuse and de-escalate the situation. The lawyer can serve as a live observer, witness, and intermediary who can provide live legal guidance to the user.

Methods and systems are provided for use in the settlement process for providing settlement terms between opposing parties. In at least one embodiment, the system receives dispute amounts and best offer amounts from each party. In order to proceed with the settlement process, the difference between the dispute amounts from each party is compared to and must be less than a maximum allowable dispute amount difference. Further, in at least one embodiment, the system determines a suggested settlement amount, in part, using data from each party's confidential best offer. The present system and method provide a safe and non-threatening approach to the settlement process, which promotes compromise and settlement. Moreover, the present system and method provide a simplified procedure for collecting the debt once settlement occurs.

Apparatuses, methods, and systems disclosed herein that improve the safety and enhance the quality of interactions between law enforcement officers and drivers. In one example embodiment, a method is provided in which, during a traffic stop, a first device associated with an officer's vehicle obtains information about a driver's vehicle, queries a database for network address information associated with a driver device associated with the driver's vehicle, and receives the network address information from the database. The first device may then transmit a connection request to the second device using the received network address information; and a connection may be established between the two devices. This connection may comprise a videoconference, a teleconference, or even a text chat feature, enabling the officer and the driver to communicate from their respective vehicles, thus avoiding the face-to-face and tension-filled in-person interaction that has previously been a necessary risk involved in traffic stops.